HEALTHCARE Archives

22/05/2023by EOS Intelligence EOS Intelligence No Comments

Is ChatGPT Just Another Tech Innovation or A Game Changer?

377views

ChatGPT, a revolutionary AI-based conversational chatbot, has been making headlines around the world. The AI-based tool can answer user queries and generate new content in a human-like way. By automating tasks such as customer support and content creation, ChatGPT has the potential to revolutionize many industries, resulting in a more efficient digital landscape and an enhanced user experience. However, the technology is not without its risks and poses a number of issues, such as creating malicious content, copyright infringement, and other moral issues. Despite these challenges, the possibilities for ChatGPT are infinite, and with the advancement of technology, the opportunities it presents will only continue to expand.

ChatGPT is an AI-based question-and-answer chatbot that responds to user queries in a conversational way, just like how humans respond. OpenAI, a US-based research and development company, launched ChatGPT in November 2022. Since then, ChatGPT has garnered increased attention and popularity worldwide. The tool surpassed over 1 million users within five days and 100 million users within two months of launch.

ChatGPT has become popular due to its capability to answer queries in a simple and conversational manner. The tool can perform various functions, such as generating content for marketing campaigns, writing emails, blogs, and essays, debugging code, and even solving mathematics questions.

OpenAI’s ChatGPT works on the concept of generative AI and uses a language model called GPT3 – a third-generation Generative Pre-trained Transformer. The AI chatbot has been fed with about 45 terabytes of text data on a diverse range of topics from sources such as books, websites, and articles and has been trained on a set of algorithms to understand relationships between words and phrases and how it is used in context. This way, the model is able to develop an understanding of languages and generate answers. ChatGPT uses a dialog format, asks follow-up questions for clarification, admits mistakes, and is capable of dismissing inappropriate or dangerous requests.

ChatGPT also has a simple user interface, allowing communication through a plain textbox just like a messaging app, thus making it easy to use. Currently, ChatGPT is in beta testing, and users can use it for free to try and provide feedback. However, the free version is often inaccessible and out of capacity due to the increasing traffic.

In February 2023, OpenAI launched a pilot subscription plan named ChatGPT Plus, starting at US$20 per month, which is available to its customers in the USA. The subscription plan provides access to ChatGPT even during peak times and provides prior access to any new features. OpenAI is also testing ChatGPT to generate videos and pictures using its DALLE image-generating software, which is another AI tool developed by OpenAI to create art and images from text prompts. OpenAI also plans to launch a ChatGPT mobile app soon.

How could ChatGPT help businesses?

One of the most impactful areas where ChatGPT can make a difference is customer support. The AI tool can handle a large volume of consumer queries within a short time frame and give accurate responses, which can boost work efficiency and reduce employees’ workload.

In addition, the tool can also be employed to answer sales-related queries. By training ChatGPT to understand product information, pricing, and other details, businesses can provide a seamless sales experience for customers. ChatGPT can also analyze user data and behavior and can assist customers to find the products they are looking for, and give product recommendations leading to a more tailored and enjoyable shopping experience. ChatGPT can be incorporated into websites to engage visitors and help them find the information they need, which can help in lead generation.

Another potential benefit of ChatGPT is its ability to automate content generation. ChatGPT can generate unique and original content quickly, making it an effective tool for creating marketing materials such as email campaigns, blogs, newsletters, etc.

ChatGPT could be used in a number of industries, such as travel, education, real estate, healthcare, information technology, etc. For instance, in the tech industry, ChatGPT can write programs in specific programming languages such as JavaScript, Python, and React, and can be very helpful to developers in generating code snippets and for code debugging.

In healthcare, the tool can be used in scheduling appointments, summarizing patient’s health information based on previous history, assisting in diagnostics, and for telemedicine services.

In the education sector, ChatGPT can be used to prepare teaching materials and lessons and to provide personalized tutoring classes.

These are just a few applications of ChatGPT. As generative technology continues to evolve, there may be many other potential applications that can help businesses achieve their goals more efficiently and effectively.

Is ChatGPT Just Another Tech Innovation or A Game Changer by EOS Intelligence

ChatGPT’s output may not be always accurate

While ChatGPT offers several benefits and advantages, the tool is not without limitations. ChatGPT works on pre-trained data that cannot handle nuances or other ambiguities and thus may generate answers that are incorrect, biased, or inappropriate.

Moreover, ChatGPT is not connected to the internet and cannot refer to an external link to respond to queries that are not part of its training. It also does not cover the news and events after 2021 and cannot provide real-time information.

Another major limitation is that the tool is often out of capacity due to the high traffic, which makes it inaccessible. There are also other potential risks associated with these generative AI tools. Some of the threats include writing phishing emails, copyright infringement, generating abusive content or malicious software, plagiarism, and much more.

ChatGPT is not the first or only AI chatbot

While ChatGPT has garnered most of the attention in the last few months, it is neither the first nor the only AI-based chatbot in the market. There are many AI-based writers and AI chatbots in the market. These tools vary in their applications and have their own strengths and weaknesses.

For instance, ChatSonic, first released in 2020, is an AI writing assistant touted as the top ChatGPT alternative. This AI chatbot is supported by Google, has voice dictation capabilities, can generate up-to-date content, and can also generate images based on text prompts. However, ChatSonic has word limits in its free as well as paid versions, which makes it difficult for users who need to generate large pieces of text.

Similarly, Jasper is another AI tool launched in 2021, which works based on the language model (GPT-3) similar to ChatGPT. Jasper can write and generate content for blogs, videos, Twitter threads, etc., in over 50 language templates and can also check for grammar and plagiarism. Jasper AI is specifically built for dealing with business use cases and is also faster and more efficient and generates more accurate results than ChatGPT.

YouChat is another example, developed in 2022 by You.com, and running on OpenAI GPT-3. It performs similar functions as ChatGPT – responding to queries, solving math equations, coding, translating, and writing content. This chatbot cites source links of the information and acts more like an AI-powered search engine. However, YouChat lacks an aesthetic appeal and may generate results that are outdated at times.

ChatGPT-styled chatbots to power search engines

While a lot of buzz has been created about this technology, the impact of AI-based conversational chatbots is yet to be seen on a large scale. Many proclaim that tools such as ChatGPT will replace the traditional search method of using Google to obtain information.

However, experts argue that it is highly unlikely. While AI chatbots can mimic human-like conversation, they need to be trained on massive amounts of data to generate any kind of answers. These tools work on pre-trained models that were fed with large amounts of data sourced from books, articles, websites, and many more resources to generate content. Hence, real-time learning and answering would be cost-intensive in the long run.

Moreover, ChatGPT’s answers may not always be comprehensive or accurate, requiring human supervision. ChatGPT may also not be very good at solving logical questions. For instance, when asked to solve a simple problem – “RQP, ONM, _, IHG, FED, find the missing letters”, ChatGPT answered incorrectly as “LKI”. Similarly, when provided a text prompt, “The odd numbers in the group 17, 32, 3, 15, 82, 9, 1 add up to an even number”, the chatbot affirmed it, which is false. Moreover, the AI chatbot does not cover news after 2021, and when asked, “Who won the 2022 World Cup?” ChatGPT said the event has not taken place.

On the other hand, Google uses several algorithms to rank web pages and gives the most relevant web results and comprehensive information. Google has access to a much larger pool of data and the ability to analyze it in real time. Additionally, Google’s ranking algorithms have been developed over years of research and refinement, making them incredibly efficient and effective at delivering high-quality results. Therefore, while AI chatbots can be useful in certain contexts, they are unlikely to replace traditional search methods, such as Google.

However, leading search engines are looking to incorporate ChatGPT into their search tools. For instance, Microsoft is planning to incorporate ChatGPT 4, a faster version of the current ChatGPT version, into its Bing Search engine. Since 2019, the company has invested about US$13 billion in OpenAI, the parent company of ChatGPT.

In February 2023, Microsoft also incorporated ChatGPT into its popular office software Teams. With this, users with Teams premium accounts will able to generate meeting notes, access recommended tasks, and would be able to see personalized highlights of the meeting using ChatGPT. These add immense value to the user.

In February 2023, China-based e-commerce company Alibaba also announced its plan to launch its own AI chatbot similar to ChatGPT. Similarly, Baidu, a China-based internet service provider, launched a chatbot named “Ernie” in its search engine in March 2023.

Amidst the increasing popularity of ChatGPT, Google has also started working on a chatbot named “Bard” based on its own language model, Lambda. The company is planning to launch more than 20 new AI-based products in 2023. In February 2023, Google invested about US$400 million in Anthropic AI, a US-based artificial intelligence startup, which is testing a new chatbot named Claude. Thus, the race to build an effective AI-enabled search engine has just begun, and things have to unfold a bit to learn more about how chatbots can modify web searches.

On the other hand, AI technologies such as ChatGPT are sure to leave an impact on how businesses operate. With the global economy slowing down, resulting in low business margins, many businesses are looking to cut down costs to increase profitability.

ChatGPT could be extremely beneficial to companies looking to automate various business tasks, such as customer support and content generation. The tool can be integrated into channels, including websites and voice assistants. While this sounds beneficial, there is also a likelihood of the technology displacing some jobs such as customer service representatives, copywriters, research analysts, etc.

However, ChatGPT will not be replacing the human workforce completely since many business tasks require creative and critical thinking skills and other traits such as empathy and emotional intelligence that only humans have. This technology is expected to pave the way for new opportunities in various fields, such as software engineering and data analysis, and allow employees to focus on more value-added tasks instead of routine, mundane tasks, ultimately boosting productivity.

EOS Perspective

With their remarkable ability to generate human-like conversations and high-quality content, generative AI tools, such as ChatGPT, are sure to be touted as a game-changer for many businesses. The advancements in generative AI are expected to have a significant impact on various business tasks such as customer support, content creation, data analysis, marketing and sales, and even decision-making.

Investors are slowly taking note of the immense potential the technology holds. It is estimated that generative AI start-ups received equity funding totaling about US$2.6 billion across 110 deals in 2022, which echoes an increasing interest in the technology.

The adoption of generative AI technologies is poised to increase, especially in business processes where a human-like conversation is desirable. Industries such as e-commerce, retail, and travel are likely to embrace this technology to automate customer service tasks, reduce costs, and increase efficiency. In addition, generative AI is likely to become an indispensable part of industries such as finance and logistics, where high levels of accuracy and precision are required. Media and entertainment companies can also benefit from this technology to quickly generate content such as articles, videos, and audio.

That being said, generative AI is not without its risks, and the technology could be used to create fake and other discriminatory information. Hence, there is an inevitable need to ensure that generative AI models are trained and deployed in an ethical and responsible manner. Despite these challenges, there is increased research and significant activity going on in the field of generative AI, especially with regard to combining the capabilities of chatbots and traditional search engines.

The current chatbots will continue to evolve and will lead to the creation of even more advanced and sophisticated models. The popularity of generative AI tools such as ChatGPT is unlikely to wane, and the technology is here to stay, with the potential to create better prospects for business and a brighter future for society.

07/09/2022by EOS Intelligence EOS Intelligence No Comments

Powering Healthcare Diagnostics with AI: a Pipe Dream or Reality

533views

The growing paucity of radiologists across the globe is alarming. The availability of radiologists is extremely disproportionate globally. To illustrate this, Massachusetts General Hospital in Boston, USA, had 126 radiologists, while the entire country of Liberia had two radiologists, and 14 countries in the African continent did not have a single radiologist, as of 2015. This leads to a crucial question – how to address this global unmet demand for radiologists and diagnostic professionals?

Increasing capital investment signals rising interest in AI in healthcare diagnostics

The global market for Artificial Intelligence (AI) in healthcare diagnostics is forecast to grow at a CAGR of 8.3%, from US$513.3 million in 2019 to US$825.9 million in 2025, according to Frost & Sullivan’s report from 2021. This growth in the healthcare diagnostics AI market is attributed to the increased demand for diagnostic tests due to the rising prevalence of novel diseases and fast-track approvals from regulatory authorities to use AI-powered technologies for preliminary diagnosis.

Imaging Diagnostics, also known as Medical Imaging is one of the key areas of healthcare diagnostics that is most interesting in exploring AI implementation. From 2013 to 2018, over 70 firms in the imaging diagnostics AI sector secured equity funding spanning 119 investment deals and have progressed towards commercial beginnings, thanks to quick approvals from respective regulatory bodies.

Between 2015 and 2021, US$3.5 billion was secured by AI-enabled imaging diagnostics firms (specialized in developing AI-powered solutions) globally for 290 investment deals, as per Signify Research. More than 200 firms (specialized in developing AI-powered solutions) globally were building AI-based solutions for imaging diagnostics, between 2015 and 2021.

The value of global investments in imaging diagnostics AI in 2020 was approximately 8.8% of the global investments in healthcare AI. The corresponding figure in 2019 was 10.2%. The sector is seeing considerable investment at a global level, with Asia-based firms (specialized in developing AI-powered solutions) having secured around US$1.5 billion, Americas-based companies raising US$1.2 billion, and EMEA-based firms securing over US$600 million between 2015 and 2021.

As per a survey conducted by the American College of Radiology in 2020 involving 1,427 US-based radiologists, 30% of respondents said that they used AI in some form in their clinical practice. This might seem like a meager adoption rate of AI amongst US radiologists. However, considering that five years earlier, there were hardly any radiologists in the USA using AI in their clinical practice, the figure illustrates a considerable surge in AI adoption here.

However, the adoption of AI in healthcare diagnostics is faced with several challenges such as high implementation costs, lack of high-quality diagnostic data, data privacy issues, patient safety, cybersecurity concerns, fear of job replacement, and trust issues. The question that remains is whether these challenges are considerable enough to hinder the widespread implementation of AI in healthcare diagnostics.

AI advantages help answer the needs in healthcare diagnostics

Several advantages such as improved correctness in disease detection and diagnosis, reduced scope of medical and diagnosis errors, improved access to diagnosis in areas where radiologists are unavailable, and increased workflow and efficacy drive the surge in the demand for AI-powered solutions in healthcare diagnostics.

One of the biggest benefits of AI in healthcare diagnostics is improved correctness in disease detection and diagnosis. According to a 2017 study conducted by two radiologists from the Thomas Jefferson University Hospital, AI could detect lesions caused by tuberculosis in chest X-rays with an accuracy rate of 96%. Beth Israel Deaconess Medical Center in Boston, Massachusetts uses AI to scan images and detect blood diseases with a 95% accuracy rate. There are numerous similar pieces of evidence supporting the AI’s ability to offer improved levels of correctness in disease detection and diagnosis.

A major benefit offered by AI in healthcare diagnostics is the reduced scope of medical and diagnosis errors. Medical and diagnosis errors are among the top 10 causes of death globally, according to WHO. Taking this into consideration, minimizing medical errors with the help of AI is one of the most promising benefits of diagnostics AI. AI is capable of cutting medical and diagnosis errors by 30% to 40% (trimming down the treatment costs by 50%), according to Frost & Sullivan’s report from 2016. With the implementation of AI, diagnostic errors can be reduced by 50% in the next five years starting from 2021, according to Suchi Saria, Founder and CEO, Bayesian Health and Director, Machine Learning and Healthcare Lab, Johns Hopkins University.

Another benefit that has been noticed is improved access to diagnosis in areas where there is a shortage of radiologists and other diagnostic professionals. The paucity of radiologists is a global trend. To cite a few examples, there is one radiologist for: 31,707 people in Mexico (2017), 14,634 people in Japan (2012), 130,000 people in India (2014), 6,827 people in the USA (2021), 15,665 people in the UK (2020).

AI has the ability to modify the way radiologists operate. It could change their active approach toward diagnosis to a proactive approach. To elucidate this, instead of just examining the particular condition for which the patient requested medical intervention, AI is likely to enable radiologists to find other conditions that remain undiagnosed or even conditions the patient is unaware of. In a post-COVID-19 era, AI is likely to reduce the backlogs in low-emergency situations. Thus, the technology can help bridge the gap created due to radiologist shortage and improve the access to diagnosis of patients to a drastic extent.

Further, AI helps in improving the workflow and efficacy of healthcare diagnostic processes. On average at any point in time, more than 300,000 medical images are waiting to be read by a radiologist in the UK for more than 30 days. The use of AI will enable radiologists to focus on identifying dangerous conditions rather than spend more time verifying non-disease conditions. Thus, the use of AI will help minimize such delays in anomaly detection in medical images and improve workflow and efficacy levels. To illustrate this, an AI algorithm named CheXNeXt, developed in a Stanford University study in 2018 could read chest X-rays for 14 distinct pathologies. Not only could the algorithm achieve the same level of precision as the radiologists, but it could also read the images in less than two minutes while the radiologists could read them in an average of four hours.

Black-box AI: A source of challenges to AI implementation in healthcare diagnostics

The black-box nature of AI means that with most AI-powered tools, only the input and output are visible but the innards between them are not visible or knowable. The root cause of many challenges for AI implementation in healthcare diagnostics is AI’s innate character of the black box.

One of the primary impediments is tracking and evaluating the decision-making process of the AI system in case of a negative result or outcome of AI algorithms. That is to say, it is not possible to detect the fundamental cause of the negative outcome within the AI system because of the black-box nature of AI. Therefore, it becomes difficult to avoid such occurrences of negative outcomes in the future.

The second encumbrance caused by the black-box nature of AI is the trust issues of clinicians that are hesitant to use AI applications because they do not completely comprehend the technology. Patients are also expected to not have faith in the AI tools because they are less forgiving of machine errors as opposed to human errors.

Further, several financial, technological, and psychological challenges while implementing AI in healthcare diagnostics are also associated with the black-box nature of the technology.

Financial challenges

High implementation costs

According to a 2020 survey conducted by Definitive Healthcare, a leading player in healthcare commercial intelligence, cost continues to be the most prominent encumbrance in AI implementation in diagnostics. Approximately 55% of the respondents who do not use AI pointed out that cost is the biggest challenge in AI implementation.

The cost of a bespoke AI system can be between US$20,000 to US$1 million, as per Analytics Insights, while the cost of the minimum viable product (a product with sufficient features to lure early adopters and verify a product idea ahead of time in the product development cycle) can be between US$8,000 and US$15,000. Other factors that also decide the total cost of AI are the costs of hiring and training skilled labor. The cost of data scientists and engineers ranges from US$550 to US$1,100 per day depending on their skills and experience levels, while the cost of a software engineer (to develop applications, dashboards, etc.) ranges between US$600 and US$1,500 per day.

It can be gauged from these figures that the total cost of AI implementation is high enough for the stakeholders to ponder upon the decision of whether to adopt the technology, especially if they are not fully aware of the benefits it might bring and if they are working with ongoing budget constraints, not infrequent in healthcare institutions.

Technological challenges

Overall paucity of availability of high-quality diagnostic data

High-quality diagnostic and medical datasets are a prerequisite for the testing of AI models. Because of the highly disintegrated nature of medical and diagnostic data, it becomes extremely difficult for data scientists to procure the data for testing AI algorithms. To put it in simple terms, patient records and diagnostic images are fragmented across myriad electronic health records (EHRs) and software platforms which makes it hard for the AI developer to use the data.

Data privacy concerns

AI developers must be open about the quality of the data used and any limitations of the software being employed, without risking cybersecurity and without breaching intellectual property concerns. Large-scale implementation of AI will lead to higher vulnerability of the existing cloud or on-premise infrastructure to both physical and cyber attacks leading to security breaches of critical healthcare diagnostic information. Targets in this space such as diagnostic tools and medical devices can be compromised by malware or software viruses. Compromised data and algorithms will result in errors in diagnosis and consequently inaccurate recommendations of treatment thereby causing stakeholders to refrain from using AI in healthcare diagnostics.

Patient safety

One of the foremost challenges for AI in healthcare diagnostics is patient safety. To achieve better patient safety, developers of AI algorithms must ensure the credibility, rationality, and transparency of the underlying datasets. Patient safety depends on the performance of AI which in turn depends on the quality of the training data. The better the quality of the data, the better will be the performance of the AI algorithms resulting in higher patient safety.

Mental and psychological challenges

Fear of job substitution

A survey published in March 2021 by European Radiology, the official journal of the European Society of Radiology, involving 1,041 respondents (83% of them were based in European countries) found that 38% of residents and radiologists are worried about their jobs being cut by AI. However, 48% of the respondents were more enterprising and unbiased towards AI. The fear of substitution could be attributed to the fact that those having restricted knowledge of AI are not completely educated about its shortcomings and consider their skillset to be less up-to-date than the technology. Because of this lack of awareness, they fail to realize that radiologists are instrumental in developing, testing, and implementing AI into clinical practice.

Trust issues

Trusting AI systems is crucial for the profitable implementation of AI into diagnostic practice. It is of foremost importance that the patient is made aware of the data processing and open dialogues must be encouraged to foster trust. Openness or transparency that forges confidence and reliability among patients and clinicians is instrumental in the success of AI in clinical practice.

EOS Perspective

With trust in AI amongst clinicians and patients, its adoption in healthcare diagnostics can be achieved at a more rapid pace. Lack of it breeds fear of job replacement by the technology amongst clinicians. Further, scarcity of awareness of AI’s true potential as well as its limitations also threatens diagnostic professionals from getting replaced by the technology. Therefore, to fully understand the capabilities of AI in healthcare diagnostics, clinicians and patients must learn about and trust the technology.

With the multitude and variety of challenges for AI implementation in healthcare diagnostics, its importance in technology becomes all the more critical. The benefits of AI are likely to accelerate the pace of adoption and thereby realize the true potential of AI in terms of saving clinicians’ time by streamlining how they operate, improving diagnosis, minimizing errors, maximizing efficacy, reducing redundancies, and delivering reliable diagnostic results. To power healthcare diagnostics with AI, it is important to view AI as an opportunity rather than a threat. This in turn will set AI in diagnostics on its path from pipe dream to reality.

22/02/2022by EOS Intelligence EOS Intelligence No Comments

Diagnostics Gain Spotlight amid Coronavirus Outbreak

It took 60 days for global COVID-19 infections to reach 100,000, but this figure doubled in the following 12-14 days, and the addition of next 100,000 cases took only 3 more days. Because of highly contagious nature of the novel coronavirus, testing became essential to keep the epidemic under control. As a result, there was a spike in global demand for coronavirus testing kits. As per McKinsey’s estimates, in May 2020, global demand for coronavirus testing was 14 million to 16 million per week, but less than 10 million tests were being conducted.

Industry was quick to respond to the rise in demand

The widespread outbreak of coronavirus required the manufacturers to develop and launch new testing kits in large volumes in a short duration of time. Diagnostics kit suppliers responded promptly to this spike in demand by developing new coronavirus testing kits. Roche Diagnostics, for instance, developed coronavirus test in about six weeks – such diagnostic tests generally take 18 months or more to reach regulatory review stage. In 2020, Roche developed a total of 15 solutions for coronavirus diagnosis.

Governments across the world eased up regulatory procedures for manufacturers in order to allow rapid development and commercialization of the coronavirus testing kits. This paved way for many companies to quickly launch new products to the market. For instance, a Korean firm, Seegene, developed coronavirus testing kit in two weeks and got approval from Korea Centers for Disease Control and Prevention (KCDC) in another two weeks’ time. Such approvals generally take more than six months in Korea.

Furthermore, standard regulatory process for approval of diagnostic kits in the USA typically take several months, but considering the public health emergency in the event of pandemic, the FDA issued emergency use authorizations to expedite the process of bringing coronavirus test kits to the market. Emergency use authorizations are like interim approvals provided on the basis of sufficient evidence to suggest a diagnostics test is effective and the benefits outweighs potential risks.

By the end of 2020, the FDA granted emergency use authorization to 225 diagnostic tests for coronavirus detection, including test kits developed by Abbott Laboratories, Roche, Cepheid, Clinomics, Princeton BioMeditech, UPenn, Inno Diagnostics, Ipsum Diagnostics, Co-Diagnostics, QIAGEN, DiaSorin, BioMérieux, and Humanigen.

Leading companies with adequate resources quickly ramped up their production capacity by multifold in line with the rising demand. For instance, a US-based firm, Thermo Fisher Scientific, increased the global production of coronavirus test kits from 50,000 per week in January 2020 to 10 million per week by June 2020. In 2020, Roche spent CHF 137 million (~US$149 million) to ramp up production capacity and supply chain for all COVID-19-related testing products.

Some companies also received government grants and private investment to scale up their production capacity. For instance, in July 2020, BD (Becton, Dickinson and Company) received a US$24 million investment from the US government to scale up production of coronavirus test kits by 50%, thereby, enabling the company to produce 12 million test kits per month by the end of February 2021.

The pandemic encouraged the shift towards decentralizing diagnostics

While the test kit manufacturers were trying to achieve round the clock production to meet the demand, they struggled with global supply chain disruptions which were also induced by the pandemic.

Coronavirus testing requires several components including specialized chemicals and laboratory testing equipment. Roche, for example, manufactures coronavirus tests in the USA but procures components of the test kit from different countries. One of the important components of test kits is reagent, a specialized liquid used for the identification of coronavirus. Roche produces these reagents mainly in Germany and few other production sites located across the world.

Further, the test kits are often compatible only with company’s own testing equipment and systems. For instance, the Roche cobas SARS-CoV-2 test kit runs on the cobas 6800 or 8800 systems. The cobas 8800 system includes approximately 23,000 components which are procured from different parts of the world. In addition to this, the production involves 101 sub-assemblies and accumulated assembly time of about 450 hours each. Final production of these instruments from Roche takes place in Switzerland.

Manufacturing of a coronavirus testing kit involves complex supply chain. Spread of coronavirus forced countries to implement extreme measures including lockdowns and trade restrictions which impacted the supply chain of test kit manufacturers. Producing all the testing components and equipment at one place is near to impossible. For instance, the production of reagents involves highly sophisticated and sensitive processes, and thus, setting up a new production site to manufacture reagents on a large scale would take several months. Setting up a new production site and streamlining the procurement for such testing equipment and systems would take several years. Hence, the diagnostics firms upped their R&D activities in an effort to develop tests that could be conducted without sophisticated laboratory systems and equipment.

Moreover, the high demand for testing compelled the diagnostics practices to evolve far beyond the traditional laboratory-based business model. The need for community testing during the pandemic that challenged the operational capabilities of hospitals and diagnostics labs dictated the importance of decentralizing diagnostics for improved patient care. This gave rise to increased demand for point-of-care testing.

The two most widely used diagnostic tests for coronavirus detection are Reverse Transcription Polymerase Chain Reaction (RT-PCR) and Antigen tests. RT-PCR test detect viral RNA in samples from the upper and lower respiratory tract, while antigen test is used to detect viral proteins in samples.

RT-PCR test is considered gold standard for coronavirus detection since the accuracy and reliability is high compared to Antigen test. However, RT-PCR test needs to be processed in a laboratory-setting and had turnaround time of several hours. Hence, there was a need for development of RT-PCR tests that could give faster results without the support of laboratory equipment.

On March 18, 2020, Abbott announced the launch of their first coronavirus test kit that was compatible with their system ‘m2000 RealTime’ which processed 470 tests in 24 hours and another ‘Alinity m’ system with capacity to run 1,080 tests in a 24-hour period. Since there was demand for more portable and fast testing solution, on March 30, 2020, Abbott launched a RT-PCR point-of-care test that ran on ID NOW system, which is the size of a small toaster. The test delivers results in 13 minutes or less. The test price is in the range of ~US$100.

Further, despite the limitations of accuracy and reliability, in some cases antigen test is preferred because there is no requirement of a lab specialist to conduct this test, thus making it less expensive, and the result is available in a few minutes. The industry saw an opportunity here and quickly developed rapid antigen tests that can be conducted at home without any assistance. For instance, in December 2020, the US FDA granted emergency use authorization to an Australia-based firm Ellume’s antigen test (priced at ~US$30) as first over-the-counter at-home diagnostic test for coronavirus detection. Soon after, Abbott also received emergency use authorization from FDA for its at-home rapid antigen test (priced at US$25) giving results in 15 minutes.

Other countries around the world also followed the suit by extending official authorization to the home-based tests for coronavirus detection. For instance, in February 2021, Germany’s Federal Institute for Drugs and Medical Devices (BfArM) granted special approval for the first time to antigen home-test kits developed by US-based Healgen Scientific as well as China-based firms Xiamen Boson Biotech and Hangzhou Laihe Biotech.

Coronavirus crisis accelerated innovation in the field of diagnostics

In a united fight against the pandemic, governments, private sector, as well as NGOs and philanthropists across the world stepped forward to raise funds to bolster R&D efforts in coronavirus diagnostics. As per data compiled by Policy Cures Research (an Australian firm engaged in global health R&D data collection and analysis), from January 2020 to September 2020, funds worth over US$800 million were committed for coronavirus diagnostics R&D. The firm also indicated that 450+ coronavirus diagnostics products were in R&D pipeline since January 2020 to December 2020.

With firms looking to capitalize on exponentially rising demand for coronavirus testing, the development of new diagnostics technologies beyond conventionally used tests (i.e., RT-PCR and antigen tests) picked up significantly.

For instance, in May 2020, the FDA granted an emergency use authorization to first ever CRISPR-based rapid test kit developed by Sherlock Biosciences. CRISPR, an acronym for Clustered Regularly Interspaced Short Palindromic Repeats, is a gene editing technology which allows to alter the DNA. Sherlock’s rapid test is a paper-strip test (like a pregnancy test) which can be conducted at point-of-care and does not require any additional equipment for processing of the test. The test works by programming a CRISPR enzyme to release a detectable signal in presence of genetic signature for coronavirus.

In March 2020, US-based Surgisphere launched a smartphone app using Artificial Intelligence algorithms to detect coronavirus infection. This app confirms diagnosis by integrating the findings of chest CT scan and laboratory tests with clinical symptoms and exposure history. Preliminary studies found that the tool can detect coronavirus infection with 95.5% accuracy.

Further, application of nanotechnology for diagnosis of coronavirus infection is also underway. Canada-based Sona Nanotech developed a rapid antigen test using gold nanoparticles. This is a strip test that can be conducted at point-of-care and gives result in 15 minutes. Research is in progress to develop wearable sensors using nanoparticles for detection of coronavirus. In January 2021, University of California San Diego received US$1.3 million from the National Institutes of Health to develop a test strip containing nanoparticle that change color in presence of coronavirus. This test strip can be attached on a mask and used to detect coronavirus in a user’s breath or saliva.

Innovation wave was not limited to development of different types of tests but also expanded to consumables. For instance, in March 2020, HP (a company manufacturing 3D printers) teamed up with Beth Israel Deaconess Medical Center (a teaching hospital of Harvard Medical School) to develop 3D printed nasopharyngeal swab (typically used to collect sample for coronavirus testing) and within 35 days the clinically validated swab was ready for use. By May 2020, these swabs were commercially available for the US market following the FDA approval. In June 2020, a Belgium-based 3D printing service provider, ZiggZagg, began to plan large-scale production of swabs on their fleet of HP 3D printers. By October 2020, the company had 3D-printed over 700,000 swabs for the Belgian market.

EOS Perspective

A market research firm, The Business Research Company, estimated that the global COVID-19 rapid test kits market was expected to reach a value of US$14.94 billion in 2020. Due to worldwide vaccination drive, the market is expected to decline at a rate of -54.9%, to reach US$1.37 billion in 2023.

Though the demand for coronavirus tests is expected to diminish eventually, it has supported rapid development of diagnostics infrastructure which will remain. In India, for example, only one laboratory was performing molecular assays for COVID-19 in January 2020. The COVID-19 pandemic has shifted that balance. By May 2020, some 600 Indian RT-PCR laboratories had been set up in an effort to help manage the pandemic, thousand-fold increasing testing capacity. The additional capacity will likely remain in place as the pandemic subsides, leaving the RT-PCR assay as the dominant method for diagnosing most viral infections in India in the future.

Furthermore, with surge in demand for the coronavirus testing, the provision of diagnostic services expanded beyond the purview of hospitals and laboratories. Mobile testing facilities and drive-through testing sites propped up with development of point-of-care diagnostics. For instance, Walgreens, one of the largest pharmacy chains in the USA, offer coronavirus drive-thru testing at 6,000+ locations across the country. Further, there is high-demand for home-based testing.

Diagnostics firms riding high on the COVID-19 gains have been actively scouting opportunities to strengthen their positioning in the market and prepare for the post-pandemic world. High demand for COVID-19 test kits boosted the revenues of diagnostic companies, with Roche, Thermo Fisher, PerkinElmer, Hologic, and DiaSorin among the companies benefiting. With strong balance sheet, these companies went on with M&A flurry to advance their diagnostic portfolio and other core business verticals.

As the virus originated in China, the country was better prepared and first to develop relevant detection mechanisms. By the time the virus spread to the other parts of the world, Chinese companies were ready to export detection kits globally. Coronavirus outbreak helped China to penetrate major markets such as EU and the USA in which the indigenous diagnostics companies traditionally had a stronger hold. China was a net importer of diagnostic reagents and test kits in 2019. But in 2020, after the outbreak of coronavirus, China ramped up its production capacity of diagnostic reagents and test kits, and as a result its export growth increased by more than 500% and the country became a net exporter of diagnostic reagents and test kits by the end of 2020.

This indicates that the outbreak of the pandemic has shifted the market dynamics on many fronts. As the pandemic slowly subsides, some of these shifts might partially revert, however, the way testing is performed is likely to remain.

16/09/2021by EOS Intelligence EOS Intelligence No Comments

Indian Pharma Needs to Reinforce Supply Chain Capabilities

985views

COVID-19 has emphasized the importance of a strong healthcare and pharmaceutical ecosystem for India. The constant demand for drugs and the expectation to deliver them in time put a lot of pressure on pharma supply chains, highlighting several challenges and shortcomings. At the same time, the Indian pharma sector seems to have benefited from the situation as well, as the pandemic unlocked new avenues of growth. To seize new opportunities, the Indian pharma sector should now focus on increasing manufacturing capacity, investing in R&D capabilities, developing world-class infrastructure, and strengthening its supply chain network.

Challenging times for the Indian pharma sector

With the coronavirus wreaking havoc, the Indian pharmaceutical sector was shaken, and the pandemic inflicted several challenges on the industry.

The key challenge faced by pharmaceutical companies has been the shortage of key raw materials for manufacturing drugs. India imports 60% of APIs (Active Pharmaceutical Ingredients) and DIs (Drug Intermediates), and nearly 70% of this demand is met by Chinese companies (as of July 2020). This reliance on importing cheaper raw materials from countries such as China is a result of a lack of tax incentives, the high cost of utilities, and low import duties in India.

India’s dependence on China has affected the supply of essential APIs. The recent pandemic has magnified this problem, and in order to meet the increasing demand, Indian pharma manufacturers need to strengthen their supply chain strategies by working with multiple API suppliers, both domestic as well as international.

Another concern has been the increased raw materials and logistics costs. Between January and June 2020, the production costs at the Chinese suppliers increased due to the implementation of safety and hygiene measures thus increasing the overall cost of APIs and other materials imported by India by an average of 25%. Logistics prices also went up during the same period, with the cost of shipping a container from China to India increasing to an average of US$ 1,250, up from US$ 750. Additionally, air freight charges also went up from US$ 2/kg to US$ 5-6/kg.

Furthermore, restrictions on movement of products and other goods also posed a problem for pharma supply chain. Even though the sector was exempted from these restrictions, delays in the delivery of drugs were registered. These delays have been largely contributed to by the complexity of various processes and their elements (from raw material procurement to procuring casing and other packaging material – all of which come from different locations to the final assembly point, and their delivery can be exposed to delays at each stage). While logistics companies tried to make product deliveries on time, they were restrained by limited workforce and movement restrictions (that required clearance at every step).

Moreover, due to panic buying, scarcity of OTC and generic drugs was also observed.

Government’s push to make India self-reliant

The government has undertaken steps to strengthen the pharma sector and announced several schemes and policies to boost domestic pharma manufacturing.

To reduce import dependence on APIs and boost domestic manufacturing, the government approved a US$ 971.6 million (INR 69.4 billion) Production Linked Incentive (PLI) Scheme in March 2020 to promote domestic manufacturing of APIs and KSMs (Key Starting Materials)/DIs. Under the scheme, financial incentives ranging from 5% to 20% of incremental sales will be given to selected manufacturers of 41 critical bulk drugs (of the identified 53 APIs for which the country is heavily dependent on imports). This includes aid for fermentation-based products from FY2023–2024 to FY2028–2029 and for chemical-synthesis-based products from FY2022–2023 to FY2027–2028. It is expected that the scheme will result in incremental sales of US$ 649.6 million (INR 464 billion) and generate a large number of employment opportunities.

Moreover, in November 2020, a new PLI Scheme (referred to as PLI 2.0) for the promotion of domestic manufacturing of pharmaceutical products was announced, wherein US$ 210 million (INR 150 billion) were allotted for pharma goods manufacturers based on their Global Manufacturing Revenue (GMR). Financial incentives ranging from 3% to 10% of incremental sales will be given to manufacturers (classified under Group A – having GMR of pharmaceutical goods of at least US$ 700 million (INR 50 billion), Group B – having GMR between US$ 70 million (INR 5 billion) and US$ 700 million (INR 50 billion), and Group C – having GMR less than US$ 70 million (INR 5 billion). The objective of the scheme is to promote production of high-value products, increase the value addition in exports, and improve the availability of a wider range of affordable medicines for local consumers. The initiative is likely to create 100,000 (20,000 direct and 80,000 indirect) jobs while generating total incremental sales of US$ 41,160 million (INR 2,940 billion) and total incremental exports of US$ 27,440 million (INR 1,960 billion) during six years from FY2022-2023 to FY2027-2028.

Another scheme, named Promotion of Bulk Drug Parks, was announced by the government in March 2020 to attain self-reliance. Under the plan, funds worth US$ 420 million (INR 30 billion) were allotted for setting up three bulk drug parks between 2020 and 2025. This initiative aims at reducing the manufacturing cost as well as the dependency on importing bulk drugs from other countries. Financial assistance will be given to selected bulk drug parks to the extent of 70% of the project cost of common infrastructure facilities (for north-eastern regions and states in the mountainous areas, the assistance will be 90%). The aid per bulk Drug Park will be limited to US$ 140 million (INR 10 billion).

Furthermore, to end reliance on China, Indian pharma companies are also taking steps to strengthen their operations and manufacturing capabilities with regard to pharmaceutical ingredients. For instance, Cipla Ltd. (Mumbai-based pharmaceutical company) launched the “API re-imagination” program in 2020 to expand its manufacturing capacity by using government incentive schemes.

The announcement of the above schemes is a show of intent by the government towards building a self-sufficient pharma sector in India. It will be interesting to see how much pharma players stand to gain from these potentially game-changing initiatives. However, only time will tell if these policies are good enough for the industry stakeholders or will these schemes not be plentiful enough to truly help the manufacturers.

Investment in API and intermediaries’ sub-sectors on the rise

Since the outbreak of COVID-19, Indian pharmaceutical companies (that deal particularly with the manufacturing of APIs, vaccine-related products, and bulk pharma chemicals) have been attracting huge investment from private equity firms. This is happening mainly because of two reasons. Firstly, the occurrence of the second wave of COVID-19 in India has increased the demand for medicines (including demand for self-care, nutritional, and preventive pharma products to boost immunity), and secondly, pharma companies across North America and Europe are shifting their manufacturing sites from China to India (to reduce dependency on a single source). Indian companies received an investment worth US$ 1.5 billion from private equity firms during FY2020-2021 (since the coronavirus outbreak), and the investment is expected to reach US$ 3-4 billion in FY2021-2022.

Some of the major deals that happened in this space included Carlyle Group (US-based private equity firm) buying a 20% stake in Piramal Pharma (Mumbai-based pharma company) for US$ 490 million in June 2020 and a 74% stake in SeQuent Scientific (India-based pharmaceutical company) for US$ 210 million in May 2020. Further, KKR & Co. (US-based global investment company) purchased a 54% controlling stake in J.B. Chemicals & Pharmaceuticals Ltd. (Mumbai-based pharmaceutical company) for nearly US$ 410 million in July 2020. Another example is Advent International (US-based private equity firm) acquiring stakes in RA Chem Pharma (Hyderabad-based pharmaceutical company) for US$ 128 million in July 2020.

From a capital perspective, COVID-19 acted as an investment accelerant that will keep the market open for opportunistic deals for many years to come. In the current scenario, investment firms are re-evaluating the pharma landscape and looking to invest in innovative ideas and products that help them grow. It is highly likely that in the coming months if the right opportunity strikes, the investment firms will not be deterred from going ahead with novel deal structures. This could include arrangements such as both parties sharing equal risk and rewards, a for-profit partnership wherein the investor specifically focuses on enhancing the digital-marketing capabilities of the pharma company (rather than sticking to just acquiring a certain share or merging with an existing company) and being open to taking more risk if needed.

Partnerships expected to increase

The pandemic has led pharma companies to rethink their operational and business strategies. For long-term sustainability, players analyze their market position, partnering with other industry stakeholders for better market penetration and value creation for their customers.

In November 2020, Indian Immunologicals Ltd. (Hyderabad-based vaccine company) announced that the company would invest US$ 10.5 million (INR 0.75 billion) in a new viral antigen manufacturing plant based in Telangana that would cater to the need for vaccines for diseases such as dengue, zika, varicella, and COVID-19 (in April 2021, the company announced a research collaboration agreement with the Griffith University, Australia to develop a vaccine for the coronavirus).

Furthermore, Jubilant Life Sciences Ltd. (Noida-based pharma company) entered into a non-exclusive licensing agreement with Gilead Sciences (a US-based biopharmaceutical company), granting it the right to register, manufacture, and sell Remdesivir (Gilead Sciences’ drug currently used as a potential therapy for COVID-19) in India (along with other 126 countries).

In February 2021, to scale up the biopharma ecosystem, the state government of Telangana partnered with Cytiva (earlier GE Healthcare Life Sciences) to open a new Fast Trak lab in Hyderabad. This facility will enable the biopharma companies in the region to improve and increase production efficiency, reduce operational costs, and make products available in the market quicker.

Future ripe for new opportunities

The pandemic has opened a stream of opportunities for India’s pharma sector which are expected to drive the growth of the sector in the long term.

China’s supply disruption and increased raw material costs have forced global pharma companies to reduce dependence on China. As an alternative, the companies either set up new API manufacturing plants (which is time-consuming) or turn to existing European or US drug manufacturers to help them meet their requirements. However, both options are capitally draining, and there is a need to find a cost-efficient solution. This presents a huge opportunity for the Indian API sector, which is also a key earnings growth driver for pharma manufacturers.

India is among the leading global producers of cost-effective generic medicines. Now, there is a need to diversify the product offerings by focusing on complex generics and biosimilars. With the guidance of the United States Food & Drug Administration (USFDA) in identifying the most appropriate methodology for developing complex generic drugs, Indian pharma companies such as Dr. Reddy’s, Zydus, Glenmark, Aurobindo, Torrent, Lupin, Cipla, Sun, and Cadila are working on their product pipeline of complex generics. Currently, the space has limited competition and offers higher margins (in comparison to generic drugs), thus presenting a lucrative opportunity for Indian players to explore and grow.

Similarly, biosimilars (referred to as similar biologics in India) are another area where Indian companies have not been faring too well in international markets, mainly due to the non-alignment of Indian regulatory guidelines with the guidelines in other markets (mainly in Europe and the USA). The government had already revised the guidelines of similar biologics (done in 2016, which provided an efficient regulatory pathway for manufacturing processes assuring safety and efficacy with quality as per cGMP (Current Good Manufacturing Practice regulations enforced by the FDA)) and introduced industry-institute initiatives (such as ‘National Bio-Pharma Mission’, launched in 2017 to accelerate biopharmaceutical development, including biosimilars, among others) to improve the situation. But now, with the intensified need for improved healthcare systems and more effective medicines, COVID-19 has presented Indian companies with an opportunity to shape their biosimilar landscape.

India holds a strong position as a key destination for outsourcing research activities. While it has been a preferred location for global pharma companies to set up R&D plants for a number of years now, becoming an outsourcing hub for pharma research is another growth area that is yet to be explored to its full potential.

EOS Perspective

Currently, the Indian pharma industry is at an interesting crossroads wherein the industry responded to the unprecedented situation with agility and persistence. The pandemic presented several opportunities and challenges for the industry and unsurprisingly, had a positive impact on the sector. The pandemic acted as a catalyst for change and investment for the pharma sector, which also responded to the challenges by adjusting to the new normal that furthered new opportunities.

In the past few months, COVID-19 has led the government to reassess the country’s pharmaceutical manufacturing capabilities and led them to take steps to make India self-sufficient. As an immediate measure, the country has been reviewing its business policies (for the ease of doing business and to attract more investment) and pharma companies recalibrating their business models, and some success has been achieved. The government should also be mindful that, in the long run, success will only be achieved when industry stakeholders are presented with a business environment (in the form of incentives, tax subsidies, low rates of interest on bank loans, utilities such as electricity and water at discounted rates, and transparent business policies, etc.) that is conducive for growth.

Moving forward, the Indian pharma companies need to be adaptive and flexible. While the sector has been resilient to the effects of the coronavirus pandemic, companies need to focus on risk management as well. Moreover, with continuous capital flowing into the sector, there is an opportunity for firms to not just broaden their scope of innovation but also to invest in critical therapeutic areas.

To emerge as a winner post-pandemic, the Indian pharma industry needs to focus on its strengths and propel full steam in the direction of opportunities presented by COVID-19.

*All currency conversions as on 20^th May, 2021, 1 INR = 0.014 US$

01/07/2021by EOS Intelligence EOS Intelligence No Comments

COVID-19 Outbreak Boosts the Use of Telehealth Services

Telehealth is one of the few sectors that have benefited from the coronavirus outbreak. Telehealth services have been around since 1950s, however, they were perceived as a nice-to-have alternative to conventional delivery of healthcare services and thus largely underutilized. COVID-19 pandemic has proved to be a game changer for the industry. Since social distancing became a necessary measure to curb the risk of COVID-19 transmission, telehealth emerged as a viable option to offer uninterrupted healthcare without physical contact. Towards the end of 2020, Deloitte predicted that virtual consultations would account for 5% of total visits to doctor in the world in 2021, up from 1% in 2019. To put this into perspective, in 2019, doctor’s visits in OECD-36 countries totaled 8.5 billion, worth approximately US$500 billion. 5% of this would result in about 400 million teleconsultations and over US$25 billion in value (if doctors earn the same for teleconsultations as for in-person visits).

Telehealth services uptake during the pandemic varied by region

While the adoption of telehealth services has increased across the globe, the growth rate varied by region depending upon factors such as technology and infrastructure, consumer awareness and willingness, government regulations, insurance policies, etc.

In the USA, world’s largest telehealth market which accounted for 40% of the global share in 2019, the growth over the years was steady but incremental mainly because of regulatory constraints and stringent insurance policies.

In response to the pandemic, the US government health insurance plans (Medicare, Medicaid, etc.) as well as private insurers expanded their coverage for telehealth services. As a result, telehealth accounted for 43.5% of all US Medicare primary care visits in April 2020, compared with just 0.1% before the pandemic. US Centers for Disease Control and Prevention indicated that the number of telehealth visits increased by 154% during the last week of March 2020, compared with the same period in 2019, primarily due to policy changes and public health guidance on telehealth during the pandemic. Considering unprecedented rise in demand for telehealth services during the times of pandemic, in April 2020, Forrester (a research and consulting firm) revised their estimation for virtual general medical care visits in the USA from 36 million to 200 million for the year 2020.

UK and France have been the dominating countries in the European telehealth market. Telehealth services’ growth momentum due to COVID-19 pandemic in these countries is likely to continue because of conducive environmental factors such as established ecosystem, favorable regulatory framework, reimbursement policies, and consumer readiness. UK’s National Health Service revealed that 48% of GP consultations in May 2020 were carried out remotely over the telephone, compared with 14% in February of the same year. Teleconsultations in France increased from 40,000 in February 2020 to 611,000 in March 2020.

Growth of telehealth market in Switzerland, Germany, and Austria has been comparatively slow as these countries have more decentralized healthcare systems in contrast to UK or France. For instance, McKinsey’s survey of over 1,000 consumers from Germany, conducted in November 2020, showed that only 2% respondents started or increased usage of telehealth services since COVID-19 outbreak.

In countries such as Greece and Czech Republic, telehealth platforms were launched for the first time during the pandemic. Ireland had telehealth platforms before COVID-19, but the adoption of the telehealth services even after pandemic remains moderate because of lack of favorable regulatory framework.

China and India are among the fastest growing telehealth markets in Asia. The number of telehealth providers in China increased from less than 150 to nearly 600 between late 2019 and early 2020. Telehealth platforms in India are witnessing increased interest from both patients as well as doctors. India’s leading health-tech firm, Practo, reported that 50 million people opted for teleconsultations through its platform between March 2020 and May 2020, representing 500% growth in teleconsultations during this time. 1mg Technologies, another telehealth service provider in India, indicated that between March 2020 and July 2020 nearly 10,000 doctors showed interest in signing up with the platform to offer teleconsultations. The company had only 150 doctors onboard until March 2020.

Japan, which is one of the largest healthcare markets, lagged in remote healthcare services because of stringent legislative policies. Remote consultations were allowed only for recurring patients and for limited number of ailments. Following the spike in COVID-19 cases, Japan temporarily eased restrictions on telehealth by allowing doctors to conduct first-time consultation online. Japan health ministry indicated that about 15% or 16,100 Japanese medical institutions (excluding dentists), offered telehealth services by July 2020. This shows phenomenal growth as in July 2018 only 970 of such Japanese healthcare institutions offered telehealth services.

In South Korea, telehealth was banned before COVID-19. This ban was lifted temporarily during the pandemic, but the long-term growth of telehealth in South Korea will depend on how the regulatory framework is shaped in the post-COVID era.

Vietnam also joined the telehealth upsurge as the country’s first telehealth app (developed by the Vietnamese multinational telecommunications company, Viettel) was launched amidst corona virus outbreak in April 2020.

Industry stakeholders seek to capitalize on telehealth boom

Healthcare providers have turned to telehealth to compensate for cancelled in-person consultations due to COVID-19 outbreak. This has encouraged providers to scale up their telehealth capabilities. For instance, over 56,000 doctors in France started teleconsultations by July 2020, as compared with only a few thousands at the beginning of the year.

Healthcare providers are not the only players looking to capitalize on the increase in demand for telehealth services. Other industry participants such as insurers and pharmacies are also exploring this segment.

In the USA, leading insurers such as Cigna, United Health, Aetna, Anthem, and Humana are partnering with telehealth providers to capitalize on the spurt in virtual healthcare demand. For instance, in February 2021, Cigna announced plans to acquire MDLive, Florida-based telehealth firm serving 60 million people across the USA, with a view to bring telehealth services in-house and reduce the patient-provider accessibility gap. Pharmacy giants Walgreens and CVS also extended access to telehealth services during COVID-19 crisis. In March 2021, a US-based digital retail pharmacy NowRx expanded into telehealth to provide care for HIV patients in California.

Since telehealth primarily encompasses delivery of healthcare services through digital and telecommunications platforms, telecoms and cable operators are uniquely positioned to organically expand in to telehealth space. Telecoms have the opportunity to expand in healthcare space by delivering telehealth as a value-added service. In October 2020, CommScope, an infrastructure solutions provider for communications networks, estimated that telehealth has the potential to create US$50 billion per year revenue opportunity for internet and telecom service providers in the USA.

Moreover, leading technology firms including Amazon, Microsoft, Salesforce, Tencent, Alibaba, and Alphabet are also investing in or considering to invest in telehealth. For instance, in January 2020, Alibaba launched an online coronavirus clinic, to offer remote assistance to patients across China.

Telehealth startups are mushrooming across the world and raking in millions in investment. Mercom Capital Group indicated that, in 2020, telehealth attracted nearly US$4.3 billion in venture funding. This represents 139% year-on-year increase compared to US$1.8 billion in 2019 implying that COVID-19 outbreak was the key driver behind the increased investment in telehealth.

Since everyone is trying to grab a piece of the growing telehealth market cake, this has led to flurry of M&A deals. Mercom Capital Group recorded 23 M&A transactions in telehealth space in 2020, up from 14 transactions in 2019.

EOS Perspective

COVID-19 outbreak worked as a catalyst resulting in dramatic increase in telehealth services utilization; whether this growth will continue in the long term, remains a question. This growth of telehealth market is primarily demand-driven. Thus, to sustain the growth momentum it would be imperative to overcome the challenges faced by the industry before the pandemic.

Ambiguous and often changing regulatory framework remains one of the biggest hindrances to telehealth. In order to tackle the spread of coronavirus, many countries temporarily relaxed their regulations for telehealth. However, it remains unknown whether countries will pull back the relaxations once the pandemic is over. Moreover, telehealth opens up doors for cross-border provision of healthcare services. This calls for development for a universal law for telehealth which is acceptable worldwide.

Further, the market will also largely depend on how the reimbursement policies evolve in the future. Historically, in many countries, reimbursement for teleconsultations has been lower than for in-person consultations. During the pandemic, the reimbursement amount was leveled in order to encourage adoption of telehealth. This proved to be a strong incentive driving the surge in telehealth. Post the pandemic, if the policies are changed again offering lower reimbursement for teleconsultations as compared with in-person visits, this could impact the growth momentum.

Data security and privacy concerns have long been debated as some of the biggest barriers for telehealth worldwide. Development of more secure platforms using technologies such as blockchain, AI, and Secure Access Service Edge (SASE) networks could potentially address these issues in future. Further applications of blockchain are being explored to improve operational transparency, increase protection of health records, and detect fraud related to patients’ insurance claims as well as physician credentials.

It is believed that the risk of misdiagnosis increases with telehealth as compared to in-person visits. This risk can be significantly reduced by integration of remote patient monitoring technologies with teleconsultations. IoT-enabled remote care monitoring technologies have been evolving by leaps and bounds. Teleconsultations carried out in conjunction with data collated from smart wearable devices can potentially help to cut down misdiagnoses.

Telehealth has become the new normal amidst coronavirus outbreak. While the telehealth market growth in the next 2-3 years could be attributed to pandemic crisis, the future will depend on how the regulatory framework will shape up and whether the industry will be able to tackle the challenges related to the technology implementation.

Blockchain a Frontline Warrior in Battling Coronavirus Pandemic by EOS Intelligence

09/07/2020by EOS Intelligence EOS Intelligence No Comments

Blockchain: a Frontline Warrior in Battling COVID-19 Pandemic

349views

SARS-COV-2 has brought the world to a standstill. Technology and its creative uses have been playing a pivotal role in sustaining lives during the pandemic as well as combating the crisis. One such technology that has been at the forefront of the pandemic is blockchain. From mitigating supply chain issues with medicines and protection gear to facilitating transparency in donations to effectively tracking the spread of the virus and protecting patient privacy, blockchain technology is being applied across the spectrum to contain and manage the outbreak.

The current pandemic has brought to light many inefficiencies and limitations of the existing global healthcare systems, wherein governments across the globe are grappling to control the outbreak, challenged by the lack of a unified, interconnected, and trusted network to share data and track cases. Blockchain has several inherent properties, such as decentralized ledger, transparency, and immutability, that make it suitable for handling and managing various aspects of containing the pandemic.

Outbreak tracking

Global health authorities and governments across the globe are having a hard time gathering authentic data regarding tests and patient numbers, hospital beds, recoveries, etc. Currently, most of the data circulating is disparate and comes from multiple sources, such as hospitals, labs, the public, and media, instead of one authorized source. This is extremely damaging since it results in the creation of a great amount of inaccurate and duplicate data, which, if trusted, makes the process of tracking and containment both time-consuming and ineffective. This is counter-productive to the management of a disease that is as fast-spreading as COVID-19.

Blockchain technology can come into play in effectively tackling this issue. Owing to its distributed and immutable nature, blockchain can provide a feasible solution for tracking the outbreak. Blockchain-based apps facilitate organizations across the globe to form a single connected network where data can be shared in real time and securely. Moreover, since data stored in the blockchain is immutable, it is protected against unauthorized changes, and its distributed nature ensures protection against fraudulent data (since each entry requires consensus algorithms and smart contracts). Lastly, blockchain efficiently manages high volumes of data (as in the cases of the COVID-19 pandemic) on a real-time basis, which cannot be managed using human resources.

However, in addition to these factors, the aspect that stands out the most and makes the blockchain technology ideal for monitoring and managing outbreak-related information is the level of privacy it offers. People do not wish for their information to be shared publicly or be used for other purposes. Thus, it is a challenge to get patients to collaborate with governments and healthcare institutions to share information regarding their condition and wellness. For instance, the Israeli government recently permitted healthcare institutions to track citizens’ mobile phones to control the spread of coronavirus. This has raised concerns from human rights organizations as citizens are not comfortable with sharing their personal information.

Since blockchain uses a distributed ledger, which ensures accountability and transparency with regard to access to its stored data, the information shared through blockchain cannot be extracted or misused. Moreover, information stored in a blockchain cannot be hacked. This encourages patients to share information regarding their condition, symptoms, location, and underlying health conditions without fear of the information being misused or shared with any third party.

Furthermore, information shared by patients in a blockchain network may not only be used for tracking the outbreak but also facilitate health centers’ study of the disease characteristics and patterns to develop treatment and solutions.

For instance, WHO has been using a blockchain-based data streaming platform, called MiPasa, which facilitates the sharing of information amongst need-to-know organizations such as state authorities and health officials. The platform is built on top of Hyperledger Fabric and partners with IBM for blockchain and cloud platforms. The application cross-references siloed location data with health information to track and prevent the spread of the outbreak, all while protecting patient privacy.

In another example, an Atlanta-based developer of blockchain-enabled healthcare applications, Acoer, developed an application called HashLog, which allows real-time logging and data visualization of the spread of the infection. HashLog provides real-time updates on the spread of the disease by tracking the movement of infected people to identify potential outbreaks and prevent further spread. The application uses the Hedera Hashgraph distributed ledger technology, and each entry is recorded through a verified hash reference on the ledger, ensuring that the data is correct.

Donations

In addition to tracking and preventing outbreaks, blockchain also plays an important role in securing donations. From hospitals and state authorities with insufficient funds for medical supplies to economically weaker sections of the population losing sources of income due to lockdown, the current pandemic has displaced a huge number of people across the globe. Thus, in such times, donations play a critical role in sustaining livelihoods and providing healthcare supplies to the affected people. However, given the fraud associated with donations in recent times, lack of trust is a common factor affecting the success of donations. Several individuals want to help and donate, however, are discouraged due to fear of their money being misused.

For instance in India, the government and police warned citizens against several fake relief schemes that have been floating in the name of COVID-19 relief, some even mirroring the Prime Ministers Relief Fund. These kinds of activities deter willing people from donating.

Blockchain technology can be used to effectively combat this issue. Since all transactions in the blockchain are secure, transparent, and traceable, donors can track their funds and see where they are utilized. This gives confidence to donors that their funds are being used for the exact purpose that they intended.

One such example is Hangzhou-based blockchain startup Hyperchain, which built a blockchain-based donation tracking platform for supporting government and hospitals (such as Tangshan People’s Hospital, Jiayu People’s Hospital, and Xiantao No. 1 People’s Hospital) in the donation process. The platform has attracted more than US$2 million in donations.

Supply chain tracking

Blockchain technology has been deemed extremely useful in managing and tracing the supply chain in several sectors as retail (for more insights on this, read our article Blockchain Paving Its Way into Retail Industry). However, given the current pandemic, the technology can also utilize similar functionalities and play a significant role in tracking of medical supplies.

Given the pace of the spread of COVID-19, authorities and healthcare organizations across the globe have faced a shortage of medical supplies, such as masks, sanitizers, PPE kits, ventilators, testing equipment, as well as some medicines. This drastic increase in demand has resulted in the distribution of a large number of counterfeit and faulty products. Blockchain technology can play a significant role to combat this. Given the data provenance in blockchain and its immutable nature, it is possible to identify and trace back every touchpoint of the medical supplies to ensure its authenticity.

In addition to filtering counterfeit products, blockchain also helps streamline the supply chain process to ensure hospitals and doctors secure timely supplies to treat patients. Blockchain can provide real-time updates regarding demand so that medical manufacturers can adjust production levels accordingly. In addition, it can help fast-track supply chain contracts through the use of smart contracts and facilitate faster payments, thereby improving overall efficiency.

In February 2020, China-based AliPay, along with the Zhejiang Provincial Health Commission and the Economy and Information Technology Department, launched a blockchain-based platform to facilitate the tracking of medical supplies required for fighting SARS-COV-2. The platform has improved trust within the medical supply chain since it records and tracks the entire provenance of preventive supplies, including masks, gloves, and PPE kits.

Apart from the medical supply chain, blockchain can also help limit supply chain disruptions faced by several other industries due to lockdowns in several parts of the world. However, companies that are using blockchain for managing their supply chain have an advantage as they have better visibility into their complete supply chain and thereby can identify points of disruption in a timely manner.

Avoiding future pandemics

Blockchain is on the front line for fighting the current pandemic, but it also has the potential to prevent future disease outbreaks. Most of the current healthcare surveillance systems across the globe are outdated and lack the required timeliness and efficiency in sharing information with local as well as international health enforcement organizations. Moreover, sometimes there is a question of deliberate delay in the sharing of critical information.

To this effect, blockchain-based health surveillance systems can help mitigate future outbreaks. Since they operate on a decentralized ledger, the surveillance data is transparently available to health organizations across the globe in a real-time manner, without the fear of any political disruptions. Timely knowledge of a potential outbreak is the first and most critical step in preventing a similar situation in the future.

In addition to the above-mentioned applications, blockchain companies, along with institutions, are developing creative solutions that help reduce challenges faced by people due to COVID-19 in their day-to-day lives. For instance, Toronto-based blockchain company Emerge launched a public safety app called Civitas, which assists citizens and local authorities across Latin America. This app matches one’s official ID to confidential medical records stored in the blockchain to identify whether the person is allowed to leave the house or not. Thus, the app allows police to verify if the person has travel permission just on the basis of their government ID and without gaining access to the person’s medical records. The app also determines the safest time and day for going out for essentials for people who are experiencing COVID-like symptoms.

Moreover, as discussed in our previous article (Blockchain Scores Well in the Education Sector), blockchain is also extremely useful in the virtual education scenario, which is now the new way of schooling for a large part of students across the globe.

EOS Perspective

Blockchain technology has several inherent properties that make it ideal for helping to manage and combat the current pandemic. Its decentralized, traceable, and immutable properties make it especially desirable for managing contact tracing and outbreak tracking, which are critical in handling a pandemic efficiently. Moreover, the benefits of blockchain are further amplified when used alongside other technologies, such as artificial intelligence, cloud computing, and big data.

However, despite its several uses, the issue of scalability plagues blockchain adaption at a larger scale. Blockchain is still a nascent technology and lacks high-level scalability. With COVID-19 affecting most of the world, the current blockchain companies do not have the level of scalability to provide all-encompassing global-level solutions.

Furthermore, blockchain technology does not operate alone, and it needs to be configured with the operating legacy system of companies and other stakeholders. However, most legacy systems are relatively old and, therefore, do not support blockchain technology. Updating or reconfiguring a legacy system is a tedious process (both in terms of time and money), and companies may not want to tie up resources for that at the current time.

Given these drawbacks, blockchain may not be deployed at a global-scale level during this pandemic, however, its inherent benefits have made companies, authorities, and global health organizations ponder, explore, and evaluate its potential in managing such situations in the future. While the COVID-19 pandemic has caught the world largely unprepared, organizations and companies across the globe are gearing up to ensure this history is not repeated, and blockchain technology has emerged as a critical part of the solution.

23/03/2020by EOS Intelligence EOS Intelligence No Comments

Global Economy Bound to Suffer from Coronavirus Fever

Global economy has slowed down in response to coronavirus. Factories in China and many parts of Europe have been forced to halt production temporarily as some of the largest manufacturing hubs in the world battle with the virus. While the heaviest impact of the virus has been (so far) observed in China, global economy too is impacted as most industries’ global supply chains are highly dependent on China for small components and cheaper production rates.

China is considered to be the manufacturing and exporting hub of the world. Lower labor costs and advanced production capabilities make manufacturing in China attractive to international businesses. World Bank estimated China’s GDP in 2018 to be US$13.6 trillion, making it the second largest economy after the USA (US$20.58 trillion). Since 1952, China’s economy has grown 450 fold as compared with the growth rate of the USA economy. International trade and investment have been the primary reason for the economic growth of the country. This shows China’s strong position in the world and indicates that any disturbances in the country’s businesses could have a global effect.

On New Years’ Eve 2019, an outbreak of a virus known as coronavirus (COVID-19) was reported in Wuhan, China to the WHO. Coronavirus is known to cause respiratory illness that ranges from cough and cold to critical infections. As the virus spreads fast and has a relatively high mortality rate, the Chinese government responded by quarantining Wuhan city and its nearby areas on January 23, 2020. However, this did not contain the situation. In January 2020, WHO designated coronavirus a “public health emergency of international concern” (PHEIC), indicating that measures need to be taken to contain the outbreak. On March 11, 2020, WHO called coronavirus a pandemic with the outbreak spreading across about 164 countries, infecting more than 190,000 people and claiming 7,800+ lives (as of March 18, 2020).

Coronavirus threatening businesses in China and beyond

Businesses globally (and especially in China) are feeling the impact of coronavirus. Workers are stuck in their homes due to the outbreak. Factories and work places remain dormant or are running slower than usual. Also, the effects of coronavirus are spreading across the globe. Initially, all factory shutdowns happened in China, however, the ripple effects of the outbreak can now be seen in other parts of the world as well, especially Italy.

Automotive industry

Global automobile manufacturers, such as General Motors, Volkswagen, Toyota, Daimler, Renault, Honda, Hyundai, and Ford Motors, who have invested heavily in China (for instance, Ford Motor joined ventured with China’s state-owned Chongqing Changan Automobile Company, Ltd., one of China’s biggest auto manufacturers) have shut down their factories and production units in the country. According to a London-based global information provider IHS Markit, Chinese auto industry is likely to lose approximately 1.7 million units of production till March 2020, since Wuhan and the rest of Hubei province, where the outbreak originated, account for 9% of total Chinese auto production. While the factories are reopening slowly (at least outside the Wuhan city) and production is expected to ramp up again, it all depends on how well the outbreak is contained. If the situation drags on for few months, the auto manufacturers might face significant losses which in turn may result in limited supply and price hikes.

American, European, and Japanese automobile manufacturers, among others, are heavily dependent on components supplied from China. Low production of car parts and components in China are resulting in supply shortages for the automakers globally. UN estimates that China shipped close to US$35 billion worth of auto parts in 2018. Also, according to the US Commerce Department’s International Trade Administration, about US$20 billion of Chinese parts were exported to the USA alone in 2018. A large percentage of parts are used in assembly lines that are used to build cars while remaining are supplied to retail stores. Supply chain is crucial in a connected global economy.

Coronavirus outbreak poses a risk to the global automotive supply chain.

South Korea’s Hyundai held off operations at its Ulsan complex in Korea due to lack of parts that were supposed to be imported from China. The plant manufactures 1.4 million vehicles annually and the shutdown has cost approximately US$500 million within just five days of shutting down. However, Hyundai is not the only such case. Nissan’s plant in Kyushu, Japan adjusted its production due to shortage of Chinese parts. French automaker Renault also suspended its production at a plant in Busan, South Korea due to similar reasons. Fiat Chrysler predicts the company’s European plant could be at risk of shutting down due to lack of supply of Chinese parts.

However, very recently, automobile factories in China have started reopening as the virus is slowly getting contained in the region. While Volkswagen has slowly started producing in all its locations in China, Nissan has managed to restart three of its five plants in the country.

That being said, auto factories are facing shutdowns across the world as coronavirus becomes a pandemic. Ford Chrysler has temporarily shut down four of its plants in Italy as the country becomes the second largest affected nation after China.

Automobile supply chains are highly integrated and complex, and require significant investments as well as a long term commitment from automobile manufacturers. A sudden shift in suppliers is not easy. The virus is spreading uncontrollably across Europe now and if France and Germany are forced to follow Italy’s footsteps of shutting down factories to contain its spread, this will spell doom for the auto sector as the two countries are home to some of the biggest automobile manufacturers in the world.

Technology industry

China is the largest manufacturer of phones, television sets, and computers. Much of the consumer technologies from smartphones to LED televisions are manufactured in China. One of the important sectors in the technology industry is smartphones.

The outbreak of coronavirus is bad news for the technology sector, especially at the verge of the 5G technology roll-out. Consumers were eagerly waiting for smartphone launches supporting 5G but with the outbreak, the demand for smartphones has seen a decline. According to the China Academy of Information and Communications Technology, overall smartphone shipments in China fell 37% year over year in January 2020.

Foxconn, which is a China-based manufacturing partner of Apple, has iPhone assembling plants in Zhengzhou and Shenzhen. These plants, which make up a large part for the Apple’s global iPhone assembly line, are currently facing a shortage of workers that will ultimately affect the production levels of iPhone in these factories. According to Reuters, only 10% of workers resumed work after the Lunar New Year holiday in China. As per TrendForce, a Taiwanese technology forecasting firm, Apple’s iPhone production is expected to drop by 10% in the first quarter of 2020.

Moreover, Apple closed down all its retail stores and corporate offices in the first week of February 2020 in China in response to the outbreak. On March 13, 2020, it reopened all of its stores in China as the outbreak seems to be under control. However, while Apple seems to recover from the outbreak in China, it is equally affected by store shutdowns in other parts of the world (especially Europe). On March 11, Apple announced that all stores in Italy will be closed until further notice. Italy has been hit by the virus hard after China. The Italian government imposed a nationwide lockdown on the first week of March 2020.

On the other hand other multinational smartphone giants such as LG, Sony Mobile, Oppo, Motorola, Nokia, and many others have delayed their smartphone launches in the first quarter of 2020 due to the outbreak.

The coronavirus outbreak is more likely to be a disaster for smartphone manufacturers relying on China.

Other sectors such as LCD panels for TVs, laptops, and computer monitors are mostly manufactured in China. According to IHS Markit, there are five LCD factories located in the city of Wuhan and the capacity at these factories is likely to be affected due to the quarantine placed by the Chinese government. This is likely to force Chinese manufacturers to raise prices to deal with the shortage.

According to Upload VR, an American virtual reality-focused technology and media company, Facebook has stopped taking new orders for the standalone VR headset and also said the coronavirus will impact production of its Oculus Quest headset.

Shipping industry

In addition to these sectors, the new coronavirus has also hit shipping industry hard. All shipping segments from container lines to oil tanks have been affected by trade restrictions and factory shutdowns in China and other countries. Shipyards have been deserted and vessels are idle awaiting services since the outbreak.

According to a February 2020 survey conducted by Shanghai International Shipping Institute, a Beijing based think-tank, capacity utilization at major Chinese ports has been 20%-50% lower than normal and one-third of the storage facilities were more than 90% full since goods are not moving out. Terminal operations have also been slow since the outbreak in China. The outbreak is costing container shipping lines US$350 million per week, as per Sea-Intelligence, a Danish maritime data specialist.

According to Sea-Intelligence, by February 2020, 21 sailings between China and America and 10 sailings in the Asia-Europe trade loop had been cancelled since the outbreak. In terms of containers, these cancellations encompass 198,500 containers for the China-America route and 151,500 boxes for the Asia-Europe route.

Moreover, shutting down of factories in China has resulted in a manufacturing slowdown, which in turn is expected to impact the Asian shipping markets. European and American trade is also getting affected as the virus spreads to those continents. US retailers depend heavily on imports from China but the outbreak has caused the shipping volumes to diminish over the first quarter.

The USA is already in the middle of a trade war with China that has put a dent in the imports from China. National Retail Federation (world’s largest retail trade association) and Hackett Associates (US based consultancy and research firm) projects imported container volumes at US seaports is likely to be down by 9.5% in March 2020 from 2019. The outbreak is heavily impacting the supply chains globally and if factory shutdowns continue the impact is more likely to be grave.

Read our other Perspectives on US-China tensions: Sino-US Trade War to Cause Ripple Effect of Implications in Auto Industry and Decoding the USA-China 5G War

Other businesses

In addition to the auto, technology, and shipping industries, other sectors are also feeling the heat from the outbreak. Under Armour, an American sports clothing and accessories manufacturer, estimated that its revenues are likely to decline by US$50-60 million in 2020 owing to the outbreak.

Disney’s theme parks in California, Shanghai, Tokyo, and Hong Kong have been shut down due to the outbreak and this is expected to reduce its operating income by more than US$175 million by second quarter 2020.

Further, IMAX, a Canadian film company, has postponed the release of five films in January 2020, due to the outbreak.

Several fast food chains have been temporarily shut down across China and Italy, however, most of them have opened or are in the process of reopening in China as the outbreak is slowly coming under control there. While the global fast food and retail players have limited exposure in China, they are suffering huge losses in Europe, especially Italy. The restaurant sector is severely impacted there, where all restaurants, fast food chains, and bars have been shut down temporarily till April 3 in an attempt to contain the outbreak.

Another significantly affected industry is the American semiconductor industry as it is heavily connected to the Chinese market. Intel’s (a US-based semiconductor company) Chinese customers account for approximately US$20 billion in revenue in 2019. Another American multinational semiconductor and telecommunications equipment company, Qualcomm draws approximately 47% of its revenue from China sales annually. The outbreak is making its way through various industries and global manufacturers could now see how much they have become dependent on China. Although the virus seems to be getting under control as days pass, the businesses are not yet fully operational. Losses could ramp up if the virus is not contained soon.

Housebound consumers dealing with coronavirus

Since the virus outbreak, people across many countries are increasingly housebound. Road traffic in China, Italy, Iran, and other severely affected countries has been minimized and public places have been isolated. People are scared to go out and mostly remain at home. This has led local businesses such as shopping malls, restaurants, cinemas, and department stores to witness a considerable slowdown, while in some countries being forced to shut down.

TV viewing and mobile internet consumption on various apps have increased after the outbreak. According to QuestMobile, a research and consultancy firm, daily time spent with mobile internet rose from 6.1 hours in early January 2020 to 6.8 hours during Lunar New Year (February 2020).

While retail outlets and other businesses are slower, people have turned to ordering products online. JD.com, a Chinese online retailer, reported that its online grocery sales grew 215% (year on year) to 15,000 tons between late January and early February 2020. Further, DingTalk, a communication platform developed by Alibaba in 2014, was recorded as the most downloaded app in China in early February 2020.

EOS Perspective

International businesses depend heavily on Chinese factories to make their products, from auto parts to computer and smartphone accessories. The country has emerged as an important part in the global supply chain, manufacturing components required by companies globally. The coronavirus outbreak has shaken the Chinese economy and global supply chains, which in turn has hurt the global economy, the extent of which is to be seen in the months to come. Oxford Economics, a global forecasting and analysis firm, projected China’s economic growth to slip down to 5.6% in 2020 from 6.1% in 2019, which might in turn reduce the global economic growth by 0.2% to an annual rate of 2.3%.

A similar kind of outbreak was seen in China in late 2002 and 2003, with SARS (Severe Acute Respiratory Syndrome) virus. China was just coming out of recession in 2003 and joined the World Trade Organization, attaining entrance to global markets with its low cost labor and production of cheaper goods. The Chinese market was at its infancy at that time. As per 2004 estimates by economists Jong-Wha Lee and Warwick J. McKibbin, SARS had cost the global economy a total of about US$40 billion. After SARS, China suffered several months of economic retrenchment.

The impact of coronavirus on Chinese as well as global economy seems to be much higher than the impact of SARS, since COVID-19 has spread globally, while China has also grown to be the hub for manufacturing parts for almost every industry since the SARS outbreak. In 2003, China accounted for only 4% of the global GDP, whereas in 2020, its share in the global GDP is close to 17%.

Currently, the key challenge for businesses would be to deal with and recover from the outbreak. On the one hand, they need to protect their workers safety and abide by their respective governments’ regulations, and on other hand they need to safeguard their operations under a strained supply chain and shrunken demand.

In the current landscape, many businesses in China have reopened operations but the outbreak is rapidly spreading to other parts of the world (especially Europe and the USA), where it is impacting several business as well as everyday lives. The best thing for manufacturing companies in this scenario is to re-evaluate their inventory levels vs revised demand levels (which may differ from industry to industry), and consider a short-term re-strategizing of their global supply chains to ensure that raw materials/components or their alternates are available and accessible – bearing in mind their existing production capability with less workers and customer needs during this pandemic period.

With the rapid spread of the virus, it seems that the outbreak is likely to cause considerable damage to the global economy (both in terms of production levels as well as psychological reaction on stock markets), at least in the short term, i.e. next 6 months. However, many experts believe that the situation should soon start coming under control at a global level. For instance, some experts at Goldman Sachs, one of the world’s largest financial services companies, believe that while this pandemic will bring the lowest growth rate of the global GDP in the last 30 years (expected at 2% in 2020), it does not pose any systematic risks to the world’s financial system (as was the case during the 2008 economic crisis).

Having said that, it is difficult to estimate what real impact the coronavirus will have on the global economy yet, and if opinions such as Goldman Sachs’ are just a way to downplay the situation to keep the investors calm. It is more likely to depend on how long the virus continues to spread and linger and how effectively do governments around the world are able to contain it.

19/03/2020by EOS Intelligence EOS Intelligence No Comments

Indian Medical Device Rules: Prospects among Ordeals for Manufacturers

India’s recent notification on regulating medical devices is another step on the government’s behalf to raise healthcare standards in the country. These regulations have implications for all stakeholders in the medical device industry, including medical device manufacturers and importers. The actual impact of these regulations will only be felt in next four to five years, once the regulatory regime comes into effect. However, based on some of the specific regulatory requirements, it is not difficult to ascertain what lies ahead for manufacturers and importers.

In 2019, Indian medical device industry was worth US$9 billion and is expected to reach US$14 billion by 2025. India imports nearly 70% of its medical devices, particularly high-end medical equipment including cancer diagnostics, medical imaging, ultrasonic scans, and PCR technologies, among others, the demand for which is met by multinational companies. The key medical devices that India imports include electronics and equipment – 53%, consumables – 14%, surgical instruments – 10%, IVD reagents – 9%, implants – 7%, and disposables – 7%. Domestic medical device market comprises mainly of small and medium medical device manufacturers with a large portion with turnover of less than US$ 1.3 million.

For many years, Indian medical device industry has dealt with a lot of challenges owing to lack of regulations. However, with the new medical device regulatory system, the scenario is expected to improve and reduce concerns among the device manufacturers around the lack of standardization and best practices. We discussed the new regulations of medical devices and their impact on various stakeholders in the healthcare sector in our article Indian Medical Device Rules: a Step towards a Better Future in February 2020.

Impact of new regulations on device manufacturers

Once the new regulations come into play, all manufacturers will have to maintain quality standards to avoid any punitive action by the regulator, as compromise on quality could result in suspension or cancellation of their license disabling them for doing business in the Indian market.

In order to assure quality, manufacturers will have to focus on quality management best practices to meet the quality objectives. This would mean creation of quality manual, documentation and execution of the quality-related procedures, and maintenance of quality-related records. Establishment of a quality assurance unit and installation of IT system to support quality-related processes will be the two key steps towards achieving quality objectives.

However, all this will not be easy to achieve from a financial viewpoint for manufacturers, considering majority of players are small and medium-sized. As an indicator, the average cost per year of having a five member quality assurance team in place can be anything between US$ 27,000 to US$ 34,000, which would account for about 2% of the annual turnover for a medical device company reporting US$ 1.3 million in sales (65% of the Indian medical device companies earn less than that). This would be a significantly high expense and, if incurred, is likely to be passed on to consumers.

The amount of expenditure on IT-related infrastructure for implementation on QA would depend primarily on two things. Firstly – the kind of medical device being manufactured (while some medical devices work on the principle of embedded software others do not require software-related quality checks, such as syringes, masks, head covers, etc.). Secondly – the extent to which a manufacturer wants to invest in IT (based on global standards, it would come to around 15-20% of annual IT budget).

Spending on IT infrastructure should be considered as a long-term investment, considering this would be required not only to ensure compliance on quality assurance but also to be done if the company wants to compete in export markets. In any case, the manufacturer would spend less than 1% of its annual revenue on IT for achieving quality objectives.

The government also wants all the device manufacturers to be compliant with Good Manufacturing Practices (GMP), laid down under the Drugs and Cosmetics Act of 1940, and currently introduced as a self-audit or self-assessment activity.

Getting a GMP certification (that confirms a firm uses quality assurance approach to ensure that products are consistently produced and controlled to the quality standards appropriate to their intended use and as required by the marketing authorization) for a single device is likely to cost less than US$ 135 for the manufacturer. Considering a manufacturer produces a range of devices, most of the small device manufacturing units do not follow the voluntary practice of attaining a GMP certificate citing certification costs (for the entire range of devices manufactured) and renewal fees (for each device after a certain number of years) to be adding to their overall expenses, but not significant enough to be passed on to customers. However, on the positive side, if companies were to get GMP certification, it would make their products compliant as per international standards making them more competent in the export market.

Road ahead for importers

Imports constitute a sizeable part of the medical device market in India. It is easier for importers now to place their products in the Indian market considering that there is a streamlined regulatory standard in place highlighting regulatory approval procedures to be followed in India, as against only the FDA (US Food and Drug Administration) or CE (Conformity Europé) approved products that were allowed to enter the market earlier. This will limit the importers’ cost required for approvals to market in India, rather than requiring marketing approval from international agencies.

Registration fees, license fees, and all duties levied for importing devices in India have been explained paving a clearer pathway for importers to operate in the market. Additionally, a list of forms specific for import purposes, required to apply for medical device approval has also been revealed.

All these practices and clarifications from the regulatory bodies have made it more convenient for manufacturers to import products. Clarity on import-related regulations is expected to make it easier for the importers to bring products to India thereby creating more challenges for the domestic players; however, it is too early to say how the market will evolve and which product segments will witness intensified competition in the next four to five years.

EOS Perspective

From the healthcare industry’s standpoint, governments’ step to ensure that medical devices available in the market meet quality standards in the future is positive and welcomed as it brings assurance of superior quality products for the people using them.

It is the small and medium sized enterprises that make up the low priced, high volume market segment of the medical device industry in India, that will need to make major operational changes and keep a close watch on the cost of compliance on quality aspect. The added cost aspect, if encountered, for developing high-quality products is most likely to hit them the hardest (especially the micro units and small-scale manufacturers) leaving them with no option but to pass on the increased cost onto the consumers. Larger players (5% manufacturers) are likely to remain practically unaffected. Nevertheless, it will be interesting to watch how these regulations shape the operations of device manufacturing companies functioning in India.

Who We Are

Connect With Us

Work With EOS

Who We Are

Connect With Us

Work With EOS

How could ChatGPT help businesses?

ChatGPT’s output may not be always accurate

ChatGPT is not the first or only AI chatbot

ChatGPT-styled chatbots to power search engines

EOS Perspective

Increasing capital investment signals rising interest in AI in healthcare diagnostics

AI advantages help answer the needs in healthcare diagnostics

Black-box AI: A source of challenges to AI implementation in healthcare diagnostics

Financial challenges

Technological challenges

Mental and psychological challenges

EOS Perspective

Industry was quick to respond to the rise in demand

The pandemic encouraged the shift towards decentralizing diagnostics

Coronavirus crisis accelerated innovation in the field of diagnostics

EOS Perspective

Challenging times for the Indian pharma sector

Government’s push to make India self-reliant

Investment in API and intermediaries’ sub-sectors on the rise

Partnerships expected to increase

Future ripe for new opportunities

EOS Perspective

Telehealth services uptake during the pandemic varied by region

Industry stakeholders seek to capitalize on telehealth boom

EOS Perspective

Outbreak tracking

Donations

Supply chain tracking

Avoiding future pandemics

EOS Perspective

Coronavirus threatening businesses in China and beyond

Automotive industry

Coronavirus outbreak poses a risk to the global automotive supply chain.

Technology industry

The coronavirus outbreak is more likely to be a disaster for smartphone manufacturers relying on China.

Shipping industry

Other businesses

Housebound consumers dealing with coronavirus

EOS Perspective

Impact of new regulations on device manufacturers

Road ahead for importers

EOS Perspective