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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Evaluation–Diagnosis–Treatment. This is the traditional and generally accepted method of a medical procedure. However, the healthcare sector has evolved over the last couple of years. Today’s healthcare is using a new, digital companion to determine how patients feel based on much more than their present medical condition. Healthcare information technology or healthcare IT is widely used by doctors, surgeons, and pharmacists to understand the medical information of patients and improve communication between doctors and patients.

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Business Models of Successful IOMT in India and Challenges

The IoT healthcare business strategy is not yet robust because it involves a set of elements with new requirements such as new operational processes and policies, new infrastructure systems, distributed target customers and transformed organizational structures. Therefore, there is a need for a new business model. The IoT technology opens a new dimension of business opportunities for healthcare companies and the IoT platform becomes a key artifact in this transformation. Early movers who are taking a proactive approach to establishing their IoT healthcare ecosystem will tap into new business models. In this part of the business model, the panel discussed the basis of pricing and the way of charging for a product or service. Besides this, the panel also discussed the ways of revenue generation.

While there are many benefits of the Internet of things in healthcare, it isn’t without its challenges. As with any new technology in healthcare, hospital and IT executives are concerned about data security and IoT device management. What are the potential barriers to IoT adoption and how healthcare IT can overcome those obstacles?

AI and IoT change the way healthcare is delivered and we obviously are on the cusp of a revolution. This definitely poses a fair amount of concerns but also huge possibilities. The panel also discussed how Medicare is 100th the cost per person when compared to Obama care. So clearly, there must be more innovations coming from IoT and AI; they are going to help us reduce the cost.

In the past, how people tried to use the data for the benefit of both patients and providers, starting from the patient side faced huge failures, as nobody was willing to pay. And that’s where the thinking came from that; how do we really make this work? How do we really turn this data into a business model? And that’s where they pivoted the model, working with providers and using their data sets. But then the question comes up, “Why the providers would share their data?”. Thus, the first pitching that started was to use the provider’s data for their patient care. And it didn’t work well. The whole narrative was, “What’s in it for providers?”.Therefore, the business model turned out to be, as we kept on talking to people, we realized that the data is going to be useful for provider’s revenue success, and then the same datasets will help the patients. A solution that they projected is to help retain the provider with patients’ data, grow their revenues and help in patient care.

The MedTech certainly seems more complex. Where they are trying to come out with a dermatology solution and oral health solution for serious diseases where a cell phone image taken from an off the shelf mobile phone camera is sent to an AI backend and it gives a diagnosis and possible treatment options for a variety of skin diseases, particularly oral cancer. Such cases are very prevalent. What the panelist found is a landscape extremely complex in terms of the business model because when someone comes out with something like this, then figuring out who would it be paying is difficult. And suddenly the AI and IoT thing comes up and say that it can perform this diagnosis at par the level and in certain cases better than certain trained specialists. This does not support their case.

One of the panelists shared her thoughts on important factors to concentrate and realize why health care has not moved digitally as compared to other industries like banking, insurance and how a lot of digital interventions can happen in healthcare. There are a whole lot of opportunities.

The main thing to focus on is What is the problem? What is the solution? And who’s going to pay you? Because that’s where the panelists believe that lots of startups have a scope.

The customer is one, the doctor is another and hospital, the other spectrum. So how to manage this change and address the change management. If you give a thought on what to overcome, it gives you a kind of value that you try and achieve success and how do we overcome the quality assurance issues, change issues, challenges that one sees in terms of adoption. Let’s say for the doctors, it took a hundred years to the doctor to adopt stethoscope. Today, it’s widely accepted. IoMT is something that is obviously very innovative, very useful. But then not every doctor will accept it right away. How does one plan to overcome that barrier? So, they might just want one to focus on change management issues.

There are three components of the IT embedment in a hospital. One is the business side of it, which gets adopted immediately. There’s just no resistance to it. The second side is the paramedical side of it; it has pathology, radiology, and other such things. They take a little time but they come on board. The learning curve is much shorter over there. The third one is the clinical side, which is the most difficult, as in a hospital system there are doctors who are most resistant to changes and the reason being their upbringing and learning of clinical practices in a certain way.

The question arises “How does one change their practices?” Changed management is already happening at the college level. The medical students who are coming out now are more hands-on and are accepting the new technological changes. We will have to wait a little while, but they will accept it. When we talk about a change in the management, the problem that arises is not specific to India only. In the USA, George Bush had said that he wanted EMR to be adopted by everyone within the next ten years. Surprisingly, he didn’t even get 15% conversion in those ten years.

It is important to secure the data and look over the cost implications of data security issues in connected health work moving forward. There is a need for appropriate interventions at the transition level of doctors and patients, as well as the importance of advocacy and awareness‐raising at community level about connected health. There is also a need for financial support for encouraging the tech enthusiasts of the country to address health issues in India with connected health solutions. One needs to understand customer value as well. How do we speak the right language in terms of what would appeal to that particular user or customer or doctor or hospital for that matter only then we will see more IoMT adoption happening. Yes, there is a need to understand the regulatory framework. Startups needs to adopt a lean structure in collaboration with the medical partners and come up with innovative solutions. India has a fantastic opportunity, but clearly it does need elements to come together and work together.

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