Editorial 2 : Unlocking Medical Data’s Value
Context: Giving people incentive to digitise medical data can help fill critical gaps in health information
Introduction: Population & Health Data Potential
- India’s 1.4 billion population exceeds the OECD bloc (38 countries).
- Data generated by Indian citizens (adjusted for PPP) could soon match OECD nations’ value.
- Policy Priority: Architects of India’s data governance must prioritize enabling this value creation.
- Policy Challenge: Current policies conflate data as identity (personal/security focus) with data as property (economic asset). This confusion stifles value creation and innovation, especially in healthcare.
Current State of Healthcare Digitization
- Fragmented Systems
- Private Hospitals: Data is digitized but is in siloes (bespoke systems).
- Government Hospitals: Basic digitization via National Health Mission (NHM).
- Small Clinics: Majority lack incentives to digitize, creating gaps in interoperable records.
- Consequences
- No unified digital trail for patients.
- This creates a barrier for health insurers, clinical researchers and AI developers.
Efforts to Address the Gap: Ayushman Bharat Digital Mission (ABDM)
- Framework
- Citizen Ownership: Patients own their health records.
- Interoperability: Accessible across registered facilities.
- Implementation Challenges
- Lack of Incentives: Doctors/patients prioritize immediate care over future data value.
- Adoption Hurdles: Clinics and small providers resist digitization due to costs/complexity.
Western Models & Their Limitations for India
- US: Health Insurance Portability and Accountability Act (HIPAA)
- Key Features
- Patients can access records but cannot share them with third parties.
- Anonymized Data Monetization: Hospitals/insurers profit from de-identified data; patients receive no share.
- Drawback: Corporatized model excludes citizens from economic benefits.
- UK/EU Model: Statist Ownership
- Key Features
- Healthcare institutions (e.g. NHS) own patient records.
- Data usage is governed by institutional policies.
- Drawback: Centralized control clashes with India’s privatized, decentralized healthcare system.
- Western Models Fail in India
- India’s healthcare is 80% private and fragmented.
- Neither corporatist (US) nor statist (UK/EU) models align with India’s structure.
Proposed Solution: Citizen-Centric Data Governance
- Free Market for Data Sharing
- Principles
- Treat health data as citizen-owned property and not just an identity.
- Allow patients to share/sell data to commercial vendors.
- Expected Outcomes
- Patients incentivize ABDM-compliant clinics creating a demand for digitization.
- Emergence of data intermediaries and health information exchanges.
- Innovation in health IT systems leading to better interfaces for doctors/patients.
- Safeguards & Tools
- Privacy Protection
- Digital public goods for removing personally identifiable information (PII).
- Use of tools to preserve privacy.
- Regulatory Framework
- Address information asymmetry via digital forensics tools.
- Ensure transparency in data transactions.
Conclusion and Way Forward
- There is a need to prioritize data as property to unlock economic value and empower citizens to control, monetize, and share health data.
- Incentivize clinics to adopt ABDM through patient demand.
- Invest in privacy-preserving technologies as public infrastructure.
- Avoid importing Western frameworks. Government should tailor policies catering to India’s decentralized reality.