India has released a national strategy for advanced computational systems in healthcare, focusing on integration into the health system architecture rather than mere add-ons. The approach prioritizes infrastructure like interoperable records and ongoing oversight to ensure equity. This contrasts with global trends where regulation often lags behind innovation.
India's national strategy for the use of advanced computational systems in healthcare marks a shift from incremental adoption seen in most countries. There, regulation has followed innovation, resulting in uneven standards, unclear accountability, and uncertainty about responsibility when harm occurs. In contrast, India's framework begins with foundational elements such as interoperable health records, consent-based data exchange, and nationally aligned standards.
The strategy recognizes that computational systems mirror the data and institutions they rely on. If these are fragmented or inequitable, the technology can amplify those issues at scale. It calls for governance extending across the system's lifecycle, including monitoring, reassessment, and potential withdrawal, as performance may vary between urban hospitals and rural clinics or degrade over time.
Fairness is embedded as a core design principle. In diverse settings, data often underrepresents marginalized or rural groups, risking reinforcement of structural inequities. The plan mandates representativeness and equity impact assessments to address this. Additionally, it stresses building human capacity through structured training, dedicated oversight units, and incorporating digital literacy into professional education.
Public procurement and interoperability requirements are positioned as tools for stewardship, aiming to avoid lock-in to proprietary platforms that impede integration. Success hinges on implementation details like transparent risk classification, audit mechanisms, sustained data quality investments, and federal coordination.
As medicine regulates devices and medicines, it must now govern decision-support systems influencing diagnosis, treatment, and resource allocation. The authors, a Mumbai-based endocrinologist and a Kolkata-based clinical pharmacologist, argue that stewarding these as infrastructure demands humility and commitment to protect vulnerable populations and build trust.
