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AI for Healthcare: Understanding Data Supply Chain and Auditability in India
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by
Amrita Sengupta (PI), Shweta Mohandas (Co-PI), (In alphabetical order) Abhineet Nayyar, Chetna VM, Puthiya Purayil Sneha, Yatharth
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published
Nov 29, 2024
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last modified
Nov 30, 2024 08:17 AM
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filed under:
Health Tech,
RAW Publications,
Researchers at Work,
Featured,
Healthcare,
Homepage,
Artificial Intelligence
This report aims to understand the prevalence and use of AI auditing practices in the healthcare sector. By mapping the data supply chain underlying AI technologies, the study aims to unpack i) how AI systems are developed and deployed to achieve healthcare outcomes and, ii) how AI audits are perceived and implemented by key stakeholders in the healthcare ecosystem.
Located in
Internet Governance
/
Blog
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Unpacking Algorithmic Infrastructures: Mapping the Data Supply Chain in the Healthcare Industry in India
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by
Amrita Sengupta, Chetna V. M., Pallavi Bedi, Puthiya Purayil Sneha, Shweta Mohandas and Yatharth
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published
Dec 22, 2023
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last modified
Jan 05, 2024 02:38 AM
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filed under:
Health Tech,
RAW Blog,
Research,
Data Protection,
Healthcare,
Researchers at Work,
Artificial Intelligence
The Unpacking Algorithmic Infrastructures project, supported by a grant from the Notre Dame-IBM Tech Ethics Lab, aims to study the Al data supply chain infrastructure in healthcare in India, and aims to critically analyse auditing frameworks that are utilised to develop and deploy AI systems in healthcare. It will map the prevalence of Al auditing practices within the sector to arrive at an understanding of frameworks that may be developed to check for ethical considerations - such as algorithmic bias and harm within healthcare systems, especially against marginalised and vulnerable populations.
Located in
RAW
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Civil Society’s second opinion on a UHI prescription
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by
Pallavi Bedi and Shweta Mohandas
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published
Feb 15, 2023
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filed under:
Health Tech,
Health Management,
Internet Governance,
Healthcare
On January 13, Pallavi Bedi and Shweta Mohandas from CIS participated in an online collaboration organised by Internet Freedom Foundation for a joint submission to the Consultation Paper on Operationalising Unified Health Interface (UHI) in India released by the National Health Authority.
Located in
Internet Governance
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Blog
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Comments to the Draft National Health Data Management Policy 2.0
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by
Anamika Kundu, Shweta Mohandas and Pallavi Bedi
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published
May 24, 2022
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filed under:
Health Tech,
Health Management,
Internet Governance,
Healthcare
Anamika Kundu, Shweta Mohandas and Pallavi Bedi along with 9 other organizations / individuals drafted comments to the Draft National Health Data Management Policy 2.0.
Located in
Internet Governance
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Blog
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Recommendations for the Covid Vaccine Intelligence Network (Co-Win) platform
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by
Pallavi Bedi
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published
Mar 25, 2021
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last modified
Mar 25, 2021 01:14 PM
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filed under:
Aarogya Setu,
Health Tech,
Piracy,
internet governance,
Healthcare,
e-Governance
Located in
Internet Governance
/
Blog
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Pandemic Technology takes its Toll on Data Privacy
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by
Aman Nair and Pallavi Bedi
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published
Dec 31, 2020
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last modified
Jun 26, 2021 06:52 AM
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filed under:
Health Tech,
Privacy,
Internet Governance,
Technological Protection Measures,
Covid19,
Healthcare
The absence of any legal framework has meant these tools are now being used for purposes beyond managing the pandemic.
Located in
Internet Governance
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Blog
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Comments to National Digital Health Mission: Health Data Management Policy
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by
Shweta Mohandas, Pallavi Bedi, Shweta Reddy, and Saumyaa Naidu
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published
Oct 05, 2020
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filed under:
Data Governance,
internet governance,
Internet Governance,
Healthcare
CIS has submitted comments to the National Health Data Management Policy. We welcome the opportunity provided to our comments on the Policy and we hope that the final Policy will consider the interests of all the stakeholders to ensure that it protects the privacy of the individual while encouraging a digital health ecosystem.
Located in
Internet Governance
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Blog
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Is India's Digital Health System Foolproof?
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by
Aayush Rathi
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published
Dec 30, 2019
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filed under:
EHR,
Big Data,
Big Data for Development,
Research,
BD4D,
Healthcare,
Researchers at Work
This contribution by Aayush Rathi builds on "Data Infrastructures and Inequities: Why Does Reproductive Health Surveillance in India Need Our Urgent Attention?" (by Aayush Rathi and Ambika Tandon, EPW Engage, Vol. 54, Issue No. 6, 09 Feb, 2019) and seeks to understand the role that state-run reproductive health portals such as the Mother and Child Tracking System (MCTS) and the Reproductive and Child Health will play going forward. The article critically outlines the overall digitised health information ecosystem being envisioned by the Indian state.
Located in
RAW
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The Mother and Child Tracking System - understanding data trail in the Indian healthcare systems
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by
Ambika Tandon
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published
Oct 18, 2019
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last modified
Dec 30, 2019 05:18 PM
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filed under:
Big Data,
Data Systems,
Privacy,
Researchers at Work,
Internet Governance,
Research,
BD4D,
Healthcare,
Big Data for Development
Reproductive health programmes in India have been digitising extensive data about pregnant women for over a decade, as part of multiple health information systems. These can be seen as precursors to current conceptions of big data systems within health informatics. In this article, published by Privacy International, Ambika Tandon presents some findings from a recently concluded case study of the MCTS as an example of public data-driven initiatives in reproductive health in India.
Located in
Internet Governance
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Blog
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Big Data and Reproductive Health in India: A Case Study of the Mother and Child Tracking System
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by
Ambika Tandon
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published
Oct 17, 2019
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last modified
Dec 06, 2019 04:57 AM
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filed under:
Big Data,
Data Systems,
Researchers at Work,
Reproductive and Child Health,
Research,
Featured,
Publications,
BD4D,
Healthcare,
Big Data for Development
In this case study undertaken as part of the Big Data for Development (BD4D) network, Ambika Tandon evaluates the Mother and Child Tracking System (MCTS) as data-driven initiative in reproductive health at the national level in India. The study also assesses the potential of MCTS to contribute towards the big data landscape on reproductive health in the country, as the Indian state’s imagination of health informatics moves towards big data.
Located in
RAW
