PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
July 1, 2021SHILAP Revista de lepidopterología42 citationsOpen Access

Rebooting consent in the digital age: a governance framework for health data exchange

NSNivedita SaksenaRMRahul MatthanABAnant Bhan

Key Points

Key points are not available for this paper at this time.

Abstract

In August 2020, India announced its vision for the National Digital Health Mission (NDHM), a federated national digital health exchange where digitised data generated by healthcare providers will be exported via application programme interfaces to the patient's electronic personal health record. The NDHM architecture is initially expected to be a claims platform for the national health insurance programme 'Ayushman Bharat' that serves 500 million people. Such large-scale digitisation and mobility of health data will have significant ramifications on care delivery, population health planning, as well as on the rights and privacy of individuals. Traditional mechanisms that seek to protect individual autonomy through patient consent will be inadequate in a digitised ecosystem where processed data can travel near instantaneously across various nodes in the system and be combined, aggregated, or even re-identified.In this paper we explore the limitations of 'informed' consent that is sought either when data are collected or when they are ported across the system. We examine the merits and limitations of proposed alternatives like the fiduciary framework that imposes accountability on those that use the data; privacy by design principles that rely on technological safeguards against abuse; or regulations. Our recommendations combine complementary approaches in light of the evolving jurisprudence in India and provide a generalisable framework for health data exchange that balances individual rights with advances in data science.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Saksena et al. (2021) studied this question.

synapsesocial.com/papers/69d9a2f29a6164e50fa3d26ehttps://doi.org/10.1136/bmjgh-2021-005057
Ask AI
Helpful
Bookmark
Share
View Full Paper