Reimagining Health Data Exchange: An Application Programming Interface-Enabled Roadmap for India.

In February 2018, the Government of India announced a massive public health insurance scheme extending coverage to 500 million citizens, in effect making it the world's largest insurance program. To meet this target, the government will rely on technology to effectively scale services, monitor quality, and ensure accountability. While India has seen great strides in informational technology development and outsourcing, cellular phone penetration, cloud computing, and financial technology, the digital health ecosystem is in its nascent stages and has been waiting for a catalyst to seed the system. This National Health Protection Scheme is expected to provide just this impetus for widespread adoption. However, health data in India are mostly not digitized. In the few instances that they are, the data are not standardized, not interoperable, and not readily accessible to clinicians, researchers, or policymakers. While such barriers to easy health information exchange are hardly unique to India, the greenfield nature of India's digital health infrastructure presents an excellent opportunity to avoid the pitfalls of complex, restrictive, digital health systems that have evolved elsewhere. We propose here a federated, patient-centric, application programming interface (API)-enabled health information ecosystem that leverages India's near-universal mobile phone penetration, universal availability of unique ID systems, and evolving privacy and data protection laws. It builds on global best practices and promotes the adoption of human-centered design principles, data minimization, and open standard APIs. The recommendations are the result of 18 months of deliberations with multiple stakeholders in India and the United States, including from academia, industry, and government.
(©Satchit Balsari, Alexander Fortenko, Joaquín A. Blaya, Adrian Gropper, Malavika Jayaram, Rahul Matthan, Ram Sahasranam, Mark Shankar, Suptendra N Sarbadhikari, Barbara E Bierer, Kenneth D Mandl, Sanjay Mehendale, Tarun Khanna. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 13.07.2018.)