AI Rules in India → A Healthcare Perspective

AI Rules in India → A Healthcare Perspective | Zenodo Skip to main Communities My dashboard Log in Sign up Published April 16, 2026 | Version 02 Publication Open AI Rules in India → A Healthcare Perspective Authors/Creators Sonu, Monika (Researcher) 1 Chakraborty, Kingshuk (Researcher) 1 Show affiliations 1.

Healthinnovation Toolbox Description This guide provides a structured, system-level understanding of how artificial intelligence is being governed in India’s healthcare ecosystem. Rather than focusing on a single regulation, it brings together the evolving landscape of laws, guidelines, and frameworks that collectively shape how AI is built, tested, deployed, and used in real-world healthcare settings. The guide organizes this landscape into six key layers, guidance, validation, data protection, data exchange, ethics, and regulation, covering frameworks such as SAHI, BODH, DPDP, ABDM, ICMR, and CDSCO. Each layer is examined in terms of its role across the AI lifecycle, its impact on different stakeholders, and how it influences safety, accountability, transparency, and deployment in practice. Moving beyond legal interpretation, the guide adopts a practical lens to decode how these frameworks interact within healthcare systems, where infrastructure variability, data fragmentation, and diverse patient populations shape real-world outcomes. It highlights that governance in healthcare AI is not defined by individual rules, but by how multiple layers work together across workflows, institutions, and decision-making contexts. Designed for clinicians, healthcare leaders, policymakers, product teams, and researchers, this resource simplifies a complex regulatory environment into an accessible and actionable structure. Part of the HealthInnovation Toolbox Innovation Series, it aims to support more responsible, transparent, and system-aware adoption of AI in India’s healthcare ecosystem. Files AI Rules in India → A Healthcare Perspective.pdf Files (33.8 MB) Name Size Download all AI Rules in India → A Healthcare Perspective.pdf md5:bb9fd0670757900dace54a4bdf5e9130 33.8 MB Preview Download 428 Views 94 Downloads Show more details All versions This version Views Total views 428 295 Downloads Total downloads 94 63 Data volume Total data volume 5.0 GB 2.8 GB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords SAHI AI healthcare BODH AI validation DPDP Act healthcare ABDM digital health India ICMR AI guidelines CDSCO AI regulation India AI healthcare policy healthcare AI regulation India AI compliance healthcare India Details DOI DOI Badge DOI 10.5281/zenodo.19605256 Markdown [](https://doi.org/10.5281/zenodo.19605256) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19605256.svg :target: https://doi.org/10.5281/zenodo.19605256 HTML <a href="https://doi.org/10.5281/zenodo.19605256"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19605256.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19605256.svg Target URL https://doi.org/10.5281/zenodo.19605256 Resource type Publication Publisher Zenodo Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Copyright © 2025 Health Innovation Toolbox (Digital Machina). This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. Citation Export Technical metadata Created April 16, 2026 Modified April 22, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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