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Artificial Intelligence and Liability in Medicine: Balancing Safety and Innovation.
- Source :
- Milbank Quarterly; Sep2021, Vol. 99 Issue 3, p629-647, 19p, 1 Chart, 1 Graph
- Publication Year :
- 2021
-
Abstract
- Policy PointsWith increasing integration of artificial intelligence and machine learning in medicine, there are concerns that algorithm inaccuracy could lead to patient injury and medical liability.While prior work has focused on medical malpractice, the artificial intelligence ecosystem consists of multiple stakeholders beyond clinicians. Current liability frameworks are inadequate to encourage both safe clinical implementation and disruptive innovation of artificial intelligence.Several policy options could ensure a more balanced liability system, including altering the standard of care, insurance, indemnification, special/no‐fault adjudication systems, and regulation. Such liability frameworks could facilitate safe and expedient implementation of artificial intelligence and machine learning in clinical care. [ABSTRACT FROM AUTHOR]
- Subjects :
- ARTIFICIAL intelligence laws
COMPUTER software
PRODUCT liability
ARTIFICIAL intelligence
LEGAL liability
MACHINE learning
MEDICAL care
PATIENTS
HEALTH insurance reimbursement
MALPRACTICE
DECISION making
NEGLIGENCE
GOVERNMENT agencies
PHYSICIANS
PATIENT safety
ALGORITHMS
INDUSTRIAL relations
DIFFUSION of innovations
Subjects
Details
- Language :
- English
- ISSN :
- 0887378X
- Volume :
- 99
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Milbank Quarterly
- Publication Type :
- Academic Journal
- Accession number :
- 152539846
- Full Text :
- https://doi.org/10.1111/1468-0009.12504