A framework for the governance of AI in healthcare for India: An exploratory model

AI-enabled healthcare presents exciting opportunities for better healthcare outcomes in India. The governance of any emerging technology can take multiple forms; mitigating risks while incentivising applications will require various policy instruments. Understanding public interest and market failures, such as the under-provision of goods with positive externalities like vaccines, helps identify broad governance priorities. Further, analysing AI’s impact on specific tasks across different time horizons clarifies its risks and opportunities. Such an analysis reveals governance opportunities — creating better datasets, building accountability in healthcare systems, and upskilling medical personnel to achieve enhanced healthcare outcomes. As AI develops alongside other technologies in the healthcare space, periodic reviews will be necessary to assess their holistic, rather than individual, impacts. A short-, medium-, and long-term outlook for integrating AI in India is essential to understand its underlying ethical concerns and unintended consequences, and to effectively manage potential risks.

Authors

Publication Details

Journal
Indian Journal of Medical Ethics
Published
2025-05-08
DOI
https://doi.org/10.20529/ijme.2025.037
Citations
2
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
5.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A framework for the governance of AI in healthcare for India: An exploratory model

S. Hari Singh Naik, Bharath Reddy
2 citations
Indian Journal of Medical Ethics
Artificial Intelligence in Healthcare
5.88
article

A framework for the governance of AI in healthcare for India: An exploratory model

S. Hari Singh Naik, Bharath Reddy
article en
2 citations

Abstract

AI-enabled healthcare presents exciting opportunities for better healthcare outcomes in India. The governance of any emerging technology can take multiple forms; mitigating risks while incentivising applications will require various policy instruments. Understanding public interest and market failures, such as the under-provision of goods with positive externalities like vaccines, helps identify broad governance priorities. Further, analysing AI’s impact on specific tasks across different time horizons clarifies its risks and opportunities. Such an analysis reveals governance opportunities — creating better datasets, building accountability in healthcare systems, and upskilling medical personnel to achieve enhanced healthcare outcomes. As AI develops alongside other technologies in the healthcare space, periodic reviews will be necessary to assess their holistic, rather than individual, impacts. A short-, medium-, and long-term outlook for integrating AI in India is essential to understand its underlying ethical concerns and unintended consequences, and to effectively manage potential risks.

Indian Journal of Medical Ethics
Openalex Percentile: Top 4%
Artificial Intelligence in Healthcare
5.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A framework for the governance of AI in healthcare for India: An exploratory model — S. Hari Singh Naik, Bharath Reddy · Indian Journal of Medical Ethics (2025) | TGRS Research Map | TGRS