Nature Health analysis maps 31 US AI healthcare lawsuits
TL;DR
- A Nature Health analysis of 31 US legal cases finds AI harms to patients emerging across insurers, care facilities and state agencies, not only clinicians.
- Authors Gennie Mansi and Mark Riedl of Georgia Tech argue liability structures should shift 'from physician-centred to patient-centred accountability approaches.'
- The sample was drawn from three open databases as of February 2025: DAIL (GW Law), Georgetown's Health Litigation Tracker and the AIAAIC incidents database.
A Nature Health analysis of 31 US legal cases argues the medical-AI accountability conversation has been aimed at the wrong party. Georgia Tech researchers Gennie Mansi and Mark Riedl find that patients' care depends on 'a complex web of stakeholders—physicians, state health departments, health insurers and care facilities, among others—and many AI tools deployed across their healthcare delivery negatively impact their care.'
The authors are blunt about where that leaves patients. They 'have had no option but to seek legal recourse for harms,' the paper states, drawing its case sample from three public databases as of February 2025: the Database of AI Litigation at George Washington University Law, Georgetown Law's Health Litigation Tracker, and the AIAAIC incidents database.
The pitch is a shift 'from physician-centred to patient-centred accountability approaches,' with two paths: rewriting liability structures to reflect the multi-stakeholder reality of how AI tools reach a patient, and building tools that let patients' lawyers 'provide critical legal expertise and practically support recourse for patients.'
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Originally reported by nature.com
Read the original article →Original headline: Implications of current litigation on the design of AI tools for healthcare delivery and related legal frameworks - Nature Health