Literature DB >> 33871009

Public vs physician views of liability for artificial intelligence in health care.

Dhruv Khullar1,2, Lawrence P Casalino1, Yuting Qian1, Yuan Lu3, Enoch Chang4, Sanjay Aneja3,4.   

Abstract

The growing use of artificial intelligence (AI) in health care has raised questions about who should be held liable for medical errors that result from care delivered jointly by physicians and algorithms. In this survey study comparing views of physicians and the U.S. public, we find that the public is significantly more likely to believe that physicians should be held responsible when an error occurs during care delivered with medical AI, though the majority of both physicians and the public hold this view (66.0% vs 57.3%; P = .020). Physicians are more likely than the public to believe that vendors (43.8% vs 32.9%; P = .004) and healthcare organizations should be liable for AI-related medical errors (29.2% vs 22.6%; P = .05). Views of medical liability did not differ by clinical specialty. Among the general public, younger people are more likely to hold nearly all parties liable.
© The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association.All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Artificial intelligence; medical errors; medical liability; regulatory policy

Mesh:

Year:  2021        PMID: 33871009      PMCID: PMC8279784          DOI: 10.1093/jamia/ocab055

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  12 in total

1.  Physician and public opinions on quality of health care and the problem of medical errors.

Authors:  Andrew R Robinson; Kirsten B Hohmann; Julie I Rifkin; Daniel Topp; Christine M Gilroy; Jeffrey A Pickard; Robert J Anderson
Journal:  Arch Intern Med       Date:  2002-10-28

2.  Deep Learning in Medicine-Promise, Progress, and Challenges.

Authors:  Fei Wang; Lawrence Peter Casalino; Dhruv Khullar
Journal:  JAMA Intern Med       Date:  2019-03-01       Impact factor: 21.873

3.  Potential Liability for Physicians Using Artificial Intelligence.

Authors:  W Nicholson Price; Sara Gerke; I Glenn Cohen
Journal:  JAMA       Date:  2019-11-12       Impact factor: 56.272

4.  Patients' and physicians' attitudes regarding the disclosure of medical errors.

Authors:  Thomas H Gallagher; Amy D Waterman; Alison G Ebers; Victoria J Fraser; Wendy Levinson
Journal:  JAMA       Date:  2003-02-26       Impact factor: 56.272

5.  The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database.

Authors:  Stan Benjamens; Pranavsingh Dhunnoo; Bertalan Meskó
Journal:  NPJ Digit Med       Date:  2020-09-11

6.  Malpractice Liability and Quality of Care: Clear Answer, Remaining Questions.

Authors:  William M Sage; Kristen Underhill
Journal:  JAMA       Date:  2020-01-28       Impact factor: 56.272

7.  Artificial Intelligence and the Future of Primary Care: Exploratory Qualitative Study of UK General Practitioners' Views.

Authors:  Charlotte Blease; Ted J Kaptchuk; Michael H Bernstein; Kenneth D Mandl; John D Halamka; Catherine M DesRoches
Journal:  J Med Internet Res       Date:  2019-03-20       Impact factor: 5.428

8.  Scalable and accurate deep learning with electronic health records.

Authors:  Alvin Rajkomar; Eyal Oren; Kai Chen; Andrew M Dai; Nissan Hajaj; Michaela Hardt; Peter J Liu; Xiaobing Liu; Jake Marcus; Mimi Sun; Patrik Sundberg; Hector Yee; Kun Zhang; Yi Zhang; Gerardo Flores; Gavin E Duggan; Jamie Irvine; Quoc Le; Kurt Litsch; Alexander Mossin; Justin Tansuwan; James Wexler; Jimbo Wilson; Dana Ludwig; Samuel L Volchenboum; Katherine Chou; Michael Pearson; Srinivasan Madabushi; Nigam H Shah; Atul J Butte; Michael D Howell; Claire Cui; Greg S Corrado; Jeffrey Dean
Journal:  NPJ Digit Med       Date:  2018-05-08

9.  Conditionally positive: a qualitative study of public perceptions about using health data for artificial intelligence research.

Authors:  Melissa D McCradden; Tasmie Sarker; P Alison Paprica
Journal:  BMJ Open       Date:  2020-10-28       Impact factor: 2.692

10.  When Does Physician Use of AI Increase Liability?

Authors:  Kevin Tobia; Aileen Nielsen; Alexander Stremitzer
Journal:  J Nucl Med       Date:  2020-09-25       Impact factor: 10.057

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  3 in total

Review 1.  Exploring stakeholder attitudes towards AI in clinical practice.

Authors:  Ian A Scott; Stacy M Carter; Enrico Coiera
Journal:  BMJ Health Care Inform       Date:  2021-12

2.  General Practitioners' Attitudes Toward Artificial Intelligence-Enabled Systems: Interview Study.

Authors:  Christoph Buck; Eileen Doctor; Jasmin Hennrich; Jan Jöhnk; Torsten Eymann
Journal:  J Med Internet Res       Date:  2022-01-27       Impact factor: 5.428

3.  Perspectives of Patients About Artificial Intelligence in Health Care.

Authors:  Dhruv Khullar; Lawrence P Casalino; Yuting Qian; Yuan Lu; Harlan M Krumholz; Sanjay Aneja
Journal:  JAMA Netw Open       Date:  2022-05-02
  3 in total

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