Introduction: The Intersection of Big Tech and Healthcare

Over the last few years, the boundaries between the technology and healthcare sectors have started to blur, leading to an exciting intersection of Big Tech and healthcare. This fusion is largely driven by technological advancements and increasing consumer demand for personalized, efficient, and accessible healthcare solutions.

Big Tech companies, such as Google, Amazon, Apple, and Microsoft, with their vast resources, technical expertise, and user-centric approach, are uniquely positioned to revolutionize the healthcare sector. The strengths of these companies align with many of the needs of modern healthcare, including data management and analysis, seamless user experience, interoperability, and digital innovation.

Some key areas at the intersection of Big Tech and healthcare

Big Tech’s Motivations: Exploring the Factors Driving Entry into Healthcare

There are several compelling reasons why Big Tech companies like Amazon, Google, Apple, and Microsoft are increasingly venturing into the healthcare sector. The confluence of these motivations is setting the stage for potentially disruptive changes in how healthcare is delivered and managed.

The motivations driving Big Tech’s entry into healthcare are multifaceted, combining financial, technological, consumer, and societal factors. However, this move also presents significant challenges, including regulatory complexities, privacy and security concerns, and the need to build trust with patients and healthcare providers. How well Big Tech companies navigate these challenges will largely determine their success in the healthcare sector.

Transforming Healthcare Through Technological Innovations: Big Tech’s Role in Access, Engagement, and Improved Outcomes

The relentless march of technology has dramatically transformed countless sectors, and healthcare is no exception. Today, the convergence of healthcare and technology is at an unprecedented level, with Big Tech companies such as Google, Apple, Microsoft, and Amazon becoming major players. With their robust technological capabilities, these giants are reshaping access to healthcare, fostering greater patient engagement, and improving health outcomes. In this cection we will focus into how Big Tech’s technological innovations are revolutionizing the healthcare landscape, highlighting their transformative potential and the challenges that lie ahead.

Digital Health Platforms: Revolutionizing Access and Patient Engagement

Digital health platforms are a pivotal innovation brought forth by Big Tech. Google’s health data management tool, Google Health, and Apple’s Health Records are prime examples. These platforms centralize health data from multiple sources, providing patients and healthcare providers with comprehensive health insights. They facilitate patient engagement by allowing individuals to manage their health data, track their wellness, and share information seamlessly with healthcare providers. These platforms also expand access to care, allowing patients to seek health advice, schedule appointments, and manage their medications online.

Data Revolution: Leveraging Big Data and Analytics for Improved Healthcare Outcomes

Big Tech companies are masters of big data and analytics, and their entrance into healthcare brings these capabilities to the sector. With the massive volume of health data generated from electronic health records, wearables, and genomics, there’s an opportunity to extract meaningful insights to improve patient outcomes. Big Tech firms like Google and Amazon use sophisticated analytics and machine learning algorithms to identify patterns, predict disease trajectories, inform treatment decisions, and drive preventive healthcare.

Empowering Patients: Opportunities for Consumer-Centric Healthcare in the Era of Big Tech

Big Tech is instrumental in shifting healthcare towards a more consumer-centric model. Wearable technologies like Apple Watch and Google’s Fitbit provide consumers with tools to monitor their health, promoting preventive care and self-management of chronic conditions. These companies also develop user-friendly apps and platforms that provide personalized health insights, medical resources, and telemedicine services, enhancing patient autonomy and engagement in their healthcare journey.

Enhancing Efficiency and Cost Savings: The Potential Financial Impacts of Big Tech’s Disruption

Big Tech’s entry into healthcare can drive efficiencies and cost savings in several ways. Their expertise in automation and AI can streamline administrative tasks, reduce manual errors, and improve healthcare operations, leading to cost reductions. Cloud-based solutions offered by companies like Amazon and Microsoft enable efficient data storage and interoperability, reducing IT costs. Furthermore, innovations in preventive care, telehealth, and AI-driven diagnosis could potentially lead to early disease detection and management, reducing expensive hospitalizations and treatments.

Artificial Intelligence in Healthcare: Unleashing the Potential of AI for Diagnosis and Treatment

Big Tech is playing a key role in integrating artificial intelligence (AI) into healthcare. AI has immense potential for improving diagnosis and treatment. Google’s DeepMind has developed AI algorithms capable of diagnosing eye diseases and certain types of cancer with high accuracy. AI can also support clinicians in treatment decision-making by predicting patient responses to different therapies. Furthermore, AI can enhance patient care by personalizing health recommendations based on individual health data.

Telehealth and Remote Monitoring: Big Tech’s Role in Remote Healthcare Services

The COVID-19 pandemic has underscored the importance of telehealth and remote monitoring, areas where Big Tech is making significant contributions. Amazon Care, for instance, offers virtual medical consultations and home health services. Apple and Google’s wearable technologies enable continuous health monitoring, alerting users, and healthcare providers about potential health issues. These services expand access to care, enable early intervention, and provide convenience for patients, especially those with mobility issues or living in remote areas.

Mental Health Technology: Big Tech’s Contributions to Mental Wellbeing and Support

Big Tech companies are increasingly focusing on mental health, developing tools and platforms for mental health support. For example, Google Search now provides anxiety self-assessment tools, and Apple Watch has integrated features for stress management and mindfulness. These technologies provide accessible mental health resources, support self-care, and could potentially help users identify when professional help may be needed.

Rural and Remote Healthcare: Overcoming Geographical Barriers through Technological Solutions

Big Tech’s technological innovations, particularly in telehealth and remote monitoring, are crucial in addressing healthcare disparities in rural and remote areas. By offering virtual healthcare services and tools for self-monitoring, Big Tech can help ensure people in remote areas have access to quality healthcare. Moreover, data-driven insights could aid in resource allocation and strategic planning to improve healthcare delivery in underserved regions.

Health Education and Empowerment: Big Tech’s Role in Promoting Health Literacy

Big Tech companies, with their wide-reaching platforms and advanced AI capabilities, have the potential to significantly promote health literacy. Through informational websites, health-focused apps, and AI-powered virtual assistants, these companies can provide accurate, easy-to-understand health information to a broad audience. For instance, Google’s search algorithms and health-focused initiatives aim to present users with reliable health information, while Apple’s Health app educates users about various health metrics. Such efforts can empower individuals to make informed decisions about their health.

Virtual Reality and Augmented Reality in Healthcare: Immersive Technologies for Enhanced Care

Big Tech companies like Google, Apple, and Facebook (Meta) are investing heavily in Virtual Reality (VR) and Augmented Reality (AR) technologies. In healthcare, these technologies have a wide range of applications, from medical training and patient education to pain management and mental health therapy. For example, VR can provide immersive experiences for medical students, improving their understanding and skills before they perform real procedures. AR can enhance surgical precision by overlaying digital information onto the surgeon’s field of view.

Social Determinants of Health: Big Tech’s Potential Impact on Addressing Social Factors

Big Tech has the potential to significantly impact social determinants of health, which include factors like socioeconomic status, education, neighbourhood and physical environment, employment, and social support networks. Through data analytics and AI, these companies can help identify patterns and correlations that influence health outcomes at a population level. For instance, Google’s “Project Sunroof” uses AI to map solar potential, indirectly influencing environmental health determinants. Meanwhile, partnerships with community organizations can help address factors like food insecurity or health access.

Bioinformatics and Genomics: Big Tech’s Influence on Advancements in Genetic Research

Big Tech, with its vast data processing capabilities, is playing a significant role in bioinformatics and genomics. These fields require analysing enormous amounts of data to draw meaningful conclusions, something Big Tech companies excel at. For instance, Google’s DeepVariant is an AI tool that uses machine learning to generate accurate genomic data, leading to improved genetic research.

Health Monitoring and Predictive Analytics: Early Detection and Prevention with Big Tech’s Tools

Big Tech companies are developing tools for health monitoring and predictive analytics, helping to identify health risks and prevent adverse outcomes. Wearable devices like Apple Watch and Fitbit (owned by Google) continuously collect health data, enabling early detection of issues like irregular heart rhythms. AI and machine learning algorithms can analyze this data to predict potential health problems, leading to timely interventions.

Remote Monitoring and Wearable Technology: Advancing Healthcare Beyond Traditional Settings

Big Tech companies are transforming healthcare delivery through remote monitoring and wearable technology. These technologies allow for continuous monitoring of patients outside traditional healthcare settings, promoting early detection, chronic disease management, and independent living for older adults. Devices like the Apple Watch provide a range of health tracking features, while Google’s Nest devices support home-based patient monitoring.

Precision Medicine and Personalized Healthcare: Big Tech’s Impact on Targeted Treatments

Precision medicine is about tailoring healthcare to individual patients based on their genetic, environmental, and lifestyle factors. Big Tech’s prowess in data analysis and AI can greatly enhance this personalization. For example, Google’s DeepMind has made strides in protein folding prediction, a complex problem with implications for personalized medicine and drug discovery.

Population Health Management: Utilizing Data Insights for Public Health Initiatives

Big Tech can play a significant role in population health management through their data analysis capabilities. They can use AI and machine learning to analyze large datasets, identify health trends, predict disease outbreaks, and inform public health strategies. Google’s “Project Baseline” aims to map human health and understand health determinants at a population level.

Chronic Disease Management: Big Tech’s Innovations in Supporting Long-Term Conditions

Through smart devices, AI, and telehealth platforms, Big Tech companies are providing innovative solutions for managing chronic diseases. These technologies can help monitor disease progression, facilitate virtual consultations, and deliver personalized interventions. For example, Amazon’s Alexa can provide medication reminders, while Apple’s Health app can help manage conditions like diabetes.

Blockchain in Healthcare: Revolutionizing Data Security and Interoperability

Blockchain technology, with its potential for secure and transparent data transactions, is being explored by Big Tech for healthcare applications. It can enhance data security, patient privacy, and interoperability of health records. For instance, IBM has been working on blockchain solutions for secure exchange of patient data across different healthcare providers.

Disruptive Technologies: Analysing the Potential Impact of Big Tech on the Healthcare Industry

The entry of Big Tech companies like Amazon, Google, Apple, and Microsoft into healthcare introduces a host of disruptive technologies with the potential to profoundly transform the industry. Here, we explore several key areas where these technologies are likely to have significant impact:

Artificial Intelligence (AI) and Machine Learning (ML)

AI and ML are driving unprecedented advancements in healthcare, with Big Tech at the helm. These technologies allow for sophisticated data analysis, predictive modeling, and automation. For example, Google’s DeepMind has developed AI algorithms that can predict eye disease and protein structures, potentially revolutionizing diagnostics, and drug discovery. Similarly, Amazon’s AWS offers machine learning services to healthcare organizations to accelerate research, improve operational efficiency, and enhance patient experiences.

Cloud Computing

Cloud computing offers healthcare organizations the capability to store, manage, and analyze vast amounts of data securely and cost-effectively. This can significantly improve efficiency, interoperability, and patient care. For instance, Google Cloud and Microsoft Azure provide cloud services that empower healthcare organizations to manage electronic health records, facilitate telemedicine, and perform data analytics on a large scale.

Wearables and Remote Monitoring

Wearable devices, such as the Apple Watch and Google’s Fitbit, enable continuous monitoring of health metrics outside the traditional healthcare setting. These devices can track various health indicators like heart rate, physical activity, sleep patterns, and more, empowering individuals to take proactive control of their health and enabling physicians to monitor patients remotely. This can be especially valuable for managing chronic diseases and preventing health complications.

Telemedicine and Virtual Care

The COVID-19 pandemic has accelerated the adoption of telemedicine, with Big Tech offering solutions to facilitate this. For example, Amazon Care provides telehealth services to its employees and other companies, offering virtual consultations, medication delivery, and home visits. This shift towards virtual care can increase access to healthcare services, reduce healthcare costs, and offer more convenience to patients.

Blockchain

Blockchain technology, known for powering cryptocurrencies, is being explored for its potential in healthcare, primarily for securing patient data and enhancing interoperability. For example, IBM’s blockchain technology provides a secure, consent-driven way to share health data across different providers, ensuring privacy and fostering cooperation in the healthcare sector.

Genomics and Precision Medicine

Big Tech is also stepping into genomics and precision medicine. By harnessing their computational power, these companies can process and analyze large genomic datasets, contributing to advancements in personalized medicine. Google’s DeepVariant is an AI tool that applies machine learning to genomic data to create a more accurate picture of an individual’s genetic makeup, with significant implications for disease diagnosis and treatment.

In conclusion, the disruptive technologies introduced by Big Tech have the potential to significantly impact the healthcare industry. While these changes present promising opportunities for enhanced patient care, they also introduce new challenges, particularly around data privacy, ethical considerations, and regulatory compliance. As Big Tech’s presence in healthcare continues to grow, these technologies will play a critical role in shaping the future of the industry.

How Big Tech Could Transform Healthcare Delivery?

Privacy and Security Concerns: Addressing Challenges in Big Tech’s Healthcare Ventures

As Big Tech companies further infiltrate the healthcare industry, concerns around privacy and security become increasingly significant. These companies are privy to vast amounts of sensitive health data, raising critical questions about how this information is stored, used, and shared. Here are the key challenges and how they are being addressed:

Data Privacy: Healthcare data contains sensitive information, and there are legitimate concerns about how Big Tech companies handle this data. They must ensure compliance with regulations like the Health Insurance Portability and Accountability Act (HIPAA) in the U.S., and the General Data Protection Regulation (GDPR) in the EU. These laws stipulate stringent requirements for the protection of personal health information. Companies must also be transparent about their data practices, informing users about what data is collected, how it’s used, and with whom it’s shared.

Data Security: As custodians of vast amounts of health data, Big Tech companies face significant data security challenges. They must protect against data breaches, which can have severe consequences given the sensitivity of the information involved. To counter this, companies invest heavily in security measures, including encryption, secure data storage, and advanced threat detection systems. For instance, Google Cloud offers several layers of security, including data encryption at rest and in transit, identity and access management, and network security controls.

Blockchain for Health Data: Blockchain technology is being explored as a potential solution to the security and privacy challenges of health data. Its decentralized, tamper-proof nature makes it well-suited for securely storing and sharing health data. IBM, for example, has developed a blockchain-based system for managing consent and sharing of health data, which offers enhanced security and patient control over their information.

AI and Privacy Concerns: The use of AI in analyzing health data can also raise privacy concerns. Techniques like differential privacy and federated learning are being developed to enable data analysis while preserving privacy. For example, Google’s Federated Learning of Cohorts (FLoC) allows the company to analyze trends across large groups of users without accessing individual browsing data.

Trust and Transparency: Trust is a critical aspect of healthcare, and Big Tech companies must work to earn the trust of users. This involves being transparent about data practices and engaging with users, healthcare providers, and regulators in an open dialogue about privacy and security issues.

In conclusion, while Big Tech’s entry into healthcare brings significant potential for improved health outcomes, it also introduces substantial privacy and security challenges. Addressing these effectively will be critical to the success of Big Tech’s healthcare ventures and to ensure the benefits of these technologies can be realized without compromising privacy and security.

Ethical Implications: Balancing Innovation, Profit, and Patient Welfare in Big Tech’s Healthcare Ventures

As Big Tech firms make significant strides into healthcare, their actions intersect with numerous ethical implications. While technological innovation in healthcare carries the promise of improved patient outcomes and operational efficiencies, these advancements must be balanced with ethical considerations related to patient welfare, data privacy, equitable access, and more. Here are the critical ethical implications:

Patient Welfare: Patient welfare should always be at the forefront of any healthcare initiative. While tech companies strive to innovate, the safety and efficacy of their solutions must be thoroughly evaluated. Rigorous clinical testing and adherence to regulatory standards is critical to ensure the technologies do not harm patients or provide ineffective treatment.

Data Privacy and Consent: Healthcare data is sensitive, and the handling of such information should respect patients’ rights to privacy. Clear communication about data usage, potential risks, and data rights, as well as obtaining informed consent, is essential. Big Tech companies need to ensure they are transparent about their data usage policies and provide patients with control over their data.

Profit vs. Patient Care: As profit-driven entities, Big Tech firms could face conflicts between their financial interests and the best interests of patients. Companies must navigate this carefully, ensuring profit motives do not compromise patient care. Robust ethical guidelines and oversight mechanisms can help balance these interests.

Equitable Access: The use of advanced technologies in healthcare can exacerbate health disparities if not managed carefully. Big Tech must consider equitable access when developing and implementing their healthcare solutions. This means ensuring their products are affordable, accessible to people with different abilities and digital literacy levels, and available to people in different geographical locations.

Impact on Healthcare Professionals: AI and automation in healthcare could potentially replace certain roles performed by healthcare professionals. Companies need to consider the ethical implications of job displacement and work towards solutions that aim to augment, rather than replace, human roles.

Data Bias and Fairness: AI models are only as good as the data they are trained on. If the training data lacks diversity or contains biased information, the AI models could perpetuate these biases, leading to unfair or inaccurate outcomes. It’s crucial to ensure that AI models are trained on diverse and representative data sets.

Transparency and Trust: As Big Tech moves into the healthcare space, they need to build trust with patients, healthcare providers, and society at large. This involves being transparent about their intentions, operations, and outcomes, and demonstrating commitment to ethical principles.

Navigating these ethical implications is a complex task, requiring ongoing dialogue with stakeholders, robust ethical frameworks, and a commitment to doing what is right. Balancing innovation, profit, and patient welfare is a significant challenge, but it’s crucial for ensuring that Big Tech’s entry into healthcare delivers true benefits for patients and society.

Future Outlook: Predicting the Long-Term Disruptions and Transformations in Healthcare

The entry of Big Tech into healthcare signals the dawn of a transformative era for the industry. Their disruptive technologies, substantial resources, and innovative mindset are setting the stage for significant changes. Here are some potential long-term disruptions and transformations we might expect:

Holistic Health Management: Big Tech’s integration of AI, wearables, and personalized data analysis will empower patients to manage their health more proactively. This could lead to a shift from the current reactive model to a more preventative and personalized one. With constant health tracking, early disease detection and intervention become possible, possibly reducing the burden of chronic diseases.

Redefinition of Healthcare Delivery: The rise of telemedicine and remote monitoring technologies will likely redefine traditional healthcare delivery models. This shift will make healthcare more accessible, especially for rural communities and individuals with mobility issues. The notion of ‘going to the doctor’ might change significantly, with virtual consultations becoming the norm for many health concerns.

Data-Driven Decision Making: As Big Tech companies amass vast amounts of health data, decision-making in healthcare will increasingly become data-driven. This will enhance the precision of diagnoses, improve the efficacy of treatments, and potentially lead to breakthroughs in medical research. Furthermore, data-driven insights could inform policymaking, leading to more effective health strategies
on a population level.

Empowered Patients: The influx of reliable health information and transparency around health data will likely lead to more empowered patients. Individuals will have more agency over their health, with tools to track their wellness, access to their health records, and resources to understand their conditions. This shift could transform the patient-provider relationship into a more collaborative one.

Interdisciplinary Collaboration: The intersection of healthcare and technology will necessitate increased interdisciplinary collaboration. We can expect to see more partnerships between tech companies, healthcare providers, researchers, and policymakers. Such collaborations can drive innovation and ensure the effective and ethical implementation of new technologies.

Ethical and Regulatory Challenges: As healthcare becomes more intertwined with technology, ethical and regulatory challenges will become more prominent. Issues around data privacy, equity of access to digital health technologies, and the impact of AI on healthcare jobs will need to be addressed. This could result in new regulations and policy frameworks for digital health.

In conclusion, while the path ahead is filled with potential, it also brings unprecedented challenges. It will be crucial for Big Tech, healthcare providers, and regulators to navigate this terrain carefully, always prioritizing the health and wellbeing of individuals and communities.

Composed by: “Varsha, proficient as a Business Analyst, has an educational foundation in healthcare IT, acquired through a PGDHM from IIHMR Delhi. Her primary interest rests at the intersection of healthcare and technology, with a specific focus on harnessing cutting-edge tech solutions to revolutionize patient care and enhance healthcare systems. Her work areas comprise optimizing healthcare data flow and improving operational efficiency, driving enhanced patient care and system robustness.”

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Artificial Intelligence (AI) is a hot topic, simply put – it’s a way of making a computer think intelligently, in a way human think and over a decade now it has managed to be fairly successful. It has found application in several domains, from consumer electronics like smartphones and smart home devices like Amazon’s Alexa to very niche applications in academic research. What began as a nascent academic pursuit to enable computers to think and solve problems using human-like cognitive capabilities has now invaded most aspects of human life, medicine and healthcare is no exception.

Modern medicine has discovered around 60,000 ways things can go wrong with the human body and over thousands of years have probed these illnesses and disorders to better understand and treat them, one drug, one technique at a time. In recent years, however, there has been a dramatic shift in the pace of innovation in healthcare, especially with the advent of artificial intelligence. Artificial Intelligence is an umbrella term used to cover a wide array of algorithms which mimic human cognitive functions and are self-correcting, and can ‘learn’ from a dataset.

The issues mentioned above are all pertaining to the AI system and its functioning, but there are vital concerns about AI’s effect on people involved in care. Several studies have shown that patients prefer AI chatbots and virtual nurses over humans when learning about their diagnosis as they can proceed to learn at their own pace without the embarrassment of not keeping up with the doctor’s speed. Patients are also more open to conversation with a computer than a human being, part of the reason being the diminished shame and fear associated with being vulnerable. But Allison Pugh, a Professor of Sociology at the University of Virginia and a writer for the New Yorker, thinks that virtual nurses and AI bots offer nothing more than the thinnest veil of care. She writes, “[…] automating or using AI to deliver care would be the same as relying on a “cloth monkey”—a reference to a cruel experiment, carried out in 1959, in which infant monkeys were given a choice between two surrogate mothers, one made from welded wire, the other from terry cloth. (The infants preferred the cloth mother, even when only the wire mother gave them milk.) AI-driven care was a sorry version of the real thing.”

As demonstrated by several research groups, deep learning algorithms have achieved human-level accuracy and then some more. It can look for patterns which are invisible to the human eye. Thus, sooner or later, displacing and relegating doctors from their positions, at least in certain areas of healthcare. This can lead to massive burnouts in doctors as their roles shift drastically and may even lead to a gradual attrition of their skills. But there’s more to care than just interpreting blood reports and imaging data of a patient, it has much more to do about understanding the needs of patients, their mental state, etc. The secret of healthcare is not in reading out objective reports, but in the assurance and the warmth, a doctor’s cadence can provide. “Caring is expressed in listening, in the time-honored ritual of the skilled bedside exam – reading the body – in touching and looking at where it hurts and ultimately in localizing the disease for patients not on a screen, not on an image, not on a biopsy report, but on their bodies.”, writes Abraham Verghese, an author and a physician at Stanford.

Employing AI to most healthcare activities might also have a negative effect on how knowledge is generated. Most medical knowledge generated in the past has been curiosity driven. AI systems can tell us whether the lesion is a benign mole or a tumor, but it can’t provide answers to why the tumor has a corrugated surface or white patches etc.

Artificial intelligence is going to be pervasive across the spectrum of healthcare. From routine lab tests to offering a clinical decision, AI algorithms will play a major role in the future of healthcare. As deep learning algorithms get stronger and as the workings of the black box are revealed, AI technology will make further strides in healthcare. But advancements in AI-based healthcare doesn’t mean the downfall of human doctors. Healthcare is a highly emotional and human-centric field and the “human touch” will always play a pivotal role in the delivery of healthcare. Humans, even highly skilled doctors are fallible beings with inherent limitations and artificial intelligence will not sideline these practitioners but augment their abilities, in making an objectively better yet humane decision.

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Boarding a wobbly roadways bus, a dhoti-kurta clad young man, with protuberant vermillion dash on forehead, used to head for mythological twin city of Mathura and Vrindavan in Uttar Pradesh, clutching tightly his voluminous bag, stuffed with Ayurvedic medicines in tiny folded paper pouches for distribution to patients at ISKON center every weekend in early nineties.

But, recently, sporting a brick colored shirt and creamy Nehru jacket and matching black tight trousers, Ayurveda medicines practitioner Dr. Partap Chauhan unveiled world’s first Artificial Intelligence (AI) powered protocols modeled on the basis of a mind-boggling database of patients and their successful cure.

Moved by the protocols’ apparent efficacy, India’s AYUSH Secretary, Dr. Vaidya Rajesh Kotecha, has minced no words for exploration of a possibility to have a link of the protocols with the Ministry’s recently floated grid for the popularization of India’s traditional medicines at international fora.

Dr. Gawande is a globally-renowned surgeon, writer, and public health innovator. He practices general and endocrine surgery at Brigham and Women’s Hospital and is a Professor at the Harvard T.H. Chan School of Public Health and Harvard Medical School.

“I’m thrilled to be named CEO of this healthcare initiative,” said Dr. Gawande, “I have devoted my public health career to building scalable solutions for better healthcare delivery that are saving lives, reducing suffering, and eliminating wasteful spending both in the US and across the world”. This work will take time but must be done. The system is broken, and better is possible.”

He is the Founding Executive Director of the health systems innovation center, Ariadne Labs. He also is a staff writer for the New Yorker magazine, has written four New York Times bestsellers: Complications, Better, The Checklist Manifesto, and Being Mortal, and has received numerous awards for his contributions to science and healthcare.

“Medicine has triumphed in modern times, transforming the dangers of childbirth, injury, and disease from harrowing to manageable. But when it comes to the inescapable realities of aging and death, what medicine can do often runs counter to what it should”. Says Dr. Gawande in his book “Being Mortal”.

Dr. Kotecha envisions Indian traditional medicines’ colossal potential in ensuring cheap and best treatment and country’s values, coupled with such medicines, have answers of all these emerging challenges. He spoke briefly about the “Being Mortal” book and the newly formed company.

The AYUSH Secretary was of the view that Indian traditional medicines should be included in ICD -11 as Chinese medicines have entered the classification already. The International Classification of Diseases (ICD) is the international “standard diagnostic tool for epidemiology, health management, and clinical purposes.” Its full official name is International Statistical Classification of Diseases and Related Health Problems and is maintained by WHO.

Amid these developments, the protocols have been framed. Dr. Partap Chauhan, Director Jiva Ayurveda, narrated his arduous journey and said India’s traditional medicines efficacy was being recognized the world over, and his protocol would help according to it a scientific explanation on various parameters.

He had started his journey from a small dispensary in a garage in Haryana in 1992, and now a globetrotter is interacting with world-famous universities for deeper scientific researches on country’s 5000 years old traditional medicines.

The personalized treatment syndrome is catching up and researchers are underway on how to promote personalized treatment for more accuracy. He said the World’s first Diagnostic Protocols for Ayurveda would turn this ancient healing tradition into a data-and evidence-driven system of medicine and JIVA Health App.

These protocols, meant to standardize the practice of Ayurveda, have taken four years to develop after analyzing the consultation records of more than two lakh patients; the protocols have been successfully run on 20,000 patients till now, with dramatic results. This system will create a wealth of data and evidence that will go on to validate Ayurveda as a legitimate science of treatment, boosting its acceptability worldwide. The JIVA health app will provide authentic and actionable health and wellness information with content exclusively curated by Dr. Partap Chauhan.

JIVA group President Rishi Pal Chauhan has said the JIVA’s unique protocols are like an operating system for Ayurveda practice that structures the practice of Ayurveda and creates the wealth of data. It is well known that unlike Allopathy, which is focused on symptoms and standardized drug choices, Ayurveda is fundamentally a personalized system of medicine.

Even though thousands of years old, this traditional system of healing, conceptually, is a far more evolved science. For instance, personalized medicine (based on genomics) and the “systems view” of human health is only now beginning to come into fashion in allopathy, when Ayurveda has been built around these very concepts.

The reason is that the scientific community asks for data and evidence – on what basis are the medicines given and how is their effect proven? This data and evidence Ayurveda does not have. The big question is: “How do you standardize a system of medicine that is fundamentally personalized, with patients being given different treatment based on the root cause, even if the symptoms are the same?”

This is the challenge of mapping intuitive Eastern systems of medicine over objective Western frameworks. Data Analysis of Consultation Records of two lakh patients four years ago, Jiva Ayurveda began a huge data analytics project, reviewing the consultation records of two lakh patients that its doctors had treated over the decades.

After analysis, running into thousands of hours using artificial intelligence, machine learning, and computer modeling, the Jiva analysts concluded that while the Ayurveda treatment cannot be standardized for every patient, Ayurveda practice can surely be standardized. In other words, the way Ayurveda practitioners diagnose patients can be standardized by laying down definite protocols. This methodology currently exists only in the mind of the Ayurveda practitioner and each arrives at the diagnosis in his own way. The result of this is that no consistent data can be generated, and the methodology cannot be validated. And so began at JIVA the painstaking process of writing diagnostic protocols around the practice of Ayurveda by scanning the consultation records of lakhs of patients.

India’s first-ever Protocols for Ayurveda: the protocols that have been created over the last four years by Jiva. These protocols, and the decision support system built over them, help Ayurveda practitioners anywhere in the world arrive at the correct diagnosis in a data-driven way. The system also categorizes the diseases in terms of severity, which has a direct bearing on prognosis. As the consultation protocol flows, based on patient answers, the system starts assigning weights to different diagnostic possibilities and makes calculations to arrive at an authoritative diagnosis. It helps avoid judgmental errors and the cost of the wrong diagnosis. It also suggests diagnostic clues that the doctor may have missed which may lead to a possible different line of treatment.

Narrating all these, Dr. Chauhan says these protocols to standardize the practice of Ayurveda, the first-ever to be attempted in India, signal a revolutionary shift. They are akin to Ayurveda’s operating system that is accessible to everybody. This system will create a wealth of data and evidence that will eventually go on to validate Ayurveda as a legitimate science of treatment, boosting its acceptability worldwide. The protocols have been run successfully on 20,000 patients so far, with dramatic results. Three international universities are collaborating with JIVA to validate this data.

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