The need to develop health data transaction disclosure requirements to balance transparency, privacy, and progressive use

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Authors: Matthew Gordon Crowson, Jade Z H Tan, Jessilyn Dunn, Jay Bhatt, Zachary D. Schneider, Daniel B. Forger, Leo A Celi, Matilda Dorotić, Bradley Malin
Cited by: 1
References: 20

Abstract

This Viewpoint critically evaluates the impact of commodifying health data in the era of electronic health records and the ethical challenges this practice raises. Additionally, the Viewpoint explores the complex interplay between the advancement of health-care artificial intelligence (AI) and the imperative for transparency in data practices, scrutinising the insufficiency of existing regulations in addressing the nuances of health data transactions. The January, 2025 US executive order on AI further emphasises the need for stringent data management and privacy measures, supporting our call for a patient-centric approach to data handling. Moreover, we advocate for comprehensive regulatory frameworks that promote transparency, protect patient data, and maintain trust in health technologies. Such efforts contribute to a health-care environment where data stewardship is synonymous with integrity and respect for patient rights.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education COVID-19 Digital Contact Tracing Ethics and Social Impacts of AI

Publication details

Journal / source
The Lancet Digital Health
Publisher
Elsevier BV
Volume
8
Issue
2
Pages
100947–100947
Publication date
1 February 2026
Language
EN