Story Highlight
– Health data is vital for modern economies’ infrastructure.
– India’s health data is fragmented and poorly integrated.
– Interoperability is key to effective health data usage.
– Prevention strategies depend on connected health data systems.
– India needs coordinated action to harness health data.
Full Story
In the contemporary landscape of national infrastructure, the focus often rests on physical elements like highways, energy grids, and connectivity networks. However, a pivotal and often overlooked component is health data, which is increasingly recognised as a crucial element driving economic growth and enhancing societal well-being. In several Western nations, health data has been elevated to the status of a strategic national asset, providing a backbone for research initiatives, informing health policy, and fostering innovations within the insurance sector. This evolving perspective on health data marks a significant departure from traditional models of healthcare management.
In stark contrast, India’s health data landscape remains disjointed. Much of the crucial health information resides in disparate locations—scattered among hospitals, diagnostic centres, insurance providers, and sometimes even kept in paper records at home. Generally accessed primarily during health crises, this fragmented approach limits the potential of health data to contribute to preventive healthcare strategies and research.
The global healthcare paradigm is shifting towards a more proactive approach, emphasising the importance of predicting and preventing illnesses rather than merely addressing them after they occur. To be integrated into future healthcare frameworks, it is imperative to recognise that health data is not solely a repository of medical facts; it has evolved into an essential national infrastructure.
Countries like the United Kingdom and the United States exemplify the strategic utilisation of health data to empower comprehensive research and robust policy frameworks. The UK Biobank serves as a powerful example, containing an extensive database of genetic, lifestyle, and health information collected from over half a million individuals. This resource has been instrumental in facilitating pivotal research advancements in various areas, including dementia, cancer, and chronic disease prevention. Moreover, the UK’s Federated Data Platform harnesses millions of health records, enabling accurate forecasting of disease patterns and efficient healthcare resource planning.
In the United States, the FDA employs the Sentinel System, a sophisticated tool designed to monitor drug safety across the nation in real time. These robust systems excel not merely due to advanced technology, but predominantly because of their interoperability—data-sharing is seamlessly integrated into policies rather than treated as an optional feature. Resources such as APIs and FHIR standards facilitate the effortless transfer of a patient’s data across healthcare platforms, ensuring that information flows efficiently from general practitioners to specialists.
While India has made significant strides in digitising healthcare, the challenge lies in the effective integration of these digital advancements. Platforms like CoWIN and the Ayushman Bharat Digital Mission (ABDM) have demonstrated the potential for national scale technology implementation. Furthermore, the rise of telemedicine highlights an increasing access to healthcare services. Nonetheless, much of the patient data remains isolated within technological silos, with laboratory results confined to diagnostic networks and prescriptions limited to specific hospital systems.
The current portrayal of digital health in India leans heavily towards administrative tasks, primarily focused on documentation like PDFs and billing systems, with standalone databases still prevalent. Although these developments have undoubtedly improved operational efficiency and broadened access to care, a more significant technical evolution towards genuine integration is critical.
The immediate imperative is to connect these fragmented health systems, forging a unified digital infrastructure that supports comprehensive data analytics and fosters preventive healthcare practices. Non-communicable diseases account for approximately 65% of mortality in India, with widespread conditions such as diabetes and cardiovascular diseases increasingly affecting the workforce. These ailments often develop gradually, with early signs discernible through routine health metrics like glucose levels, cholesterol counts, and weight gain. However, within a disjointed healthcare system, these early indicators of risk remain compartmentalised, preventing timely management and intervention.
The consequences of such fragmentation are pronounced: delayed diagnoses, inflated treatment costs, heightened insurance claims, and notable productivity declines among employers. Therefore, adopting a preventive approach is both a strategic necessity and a sound financial decision reliant on the integration of comprehensive health data.
Transitioning health data into a recognised national asset necessitates three fundamental transformations. First, creating an interoperable health data ecosystem is essential. Medical records generated by various entities—hospitals, labs, insurers—must be able to interact seamlessly, ensuring that a patient’s medical history remains intact regardless of where they seek care. This interconnectedness will facilitate continuity and completeness in patient care.
Second, there is a pressing need for citizen-driven, consent-based health records. Individuals must have the autonomy to access their own data, securely share it, and deploy it across multiple healthcare providers as necessary.
Lastly, the development of a preventive, analytics-driven health platform is crucial. Once health data is interconnected and made accessible, advanced analytics can highlight risk trends over time, prompting early interventions and informing employers and insurers about proactive care strategies. This connected data infrastructure could also enable highly personalised health interventions, including tailored screening schedules and customised lifestyle recommendations aimed at enhancing long-term health outcomes.
This shift in focus transitions the inquiry from “How do we manage this disease?” to “How can we proactively identify and lessen this risk?” India possesses the necessary scale, technological capabilities, and emerging digital infrastructure to realise such a transformative system. The groundwork exists—a concerted effort is now needed to effectuate this vision and translate digital healthcare advancements into actionable national health intelligence.
This article has been authored by Kiran Kalakuntla, CEO and co-founder of ekincare.
Our Thoughts
The article highlights the fragmentation of health data in India and suggests improvements for its integration and utilization. In a UK context, several safety lessons arise that relate to health data management under the Health and Safety at Work Act 1974 and the Data Protection Act 2018.
To avoid similar fragmented systems, the UK could enhance interoperability between health records, ensuring seamless communication among healthcare providers. Implementing stringent protocols for data sharing, as seen with the UK Biobank, could mitigate risks of misdiagnosis and improve patient outcomes. Additionally, a consent-driven system where patients control access to their health data would align with data protection regulations and enhance trust in the system.
Key regulations potentially breached in fragmented data systems include GDPR principles, which mandate data accuracy and accessibility. To prevent similar incidents, the NHS could adopt more robust frameworks for data integration, ensuring analytics are employed to monitor health trends and risks proactively. This would contribute not only to individual patient safety but also to public health strategies in preventing diseases before they escalate.
