Will Generative Artificial Intelligence Deliver on Its Promise in Health Care?
Top Cited Papers
Open Access
- 2 January 2024
- journal article
- review article
- Published by American Medical Association (AMA) in JAMA
- Vol. 331 (1) , 65-69
Abstract
Since they became publicly available in late 2022, generative artificial intelligence (genAI) tools such as ChatGPT have elicited enormous enthusiasm, as well as concern, in all sectors of the economy. But the potential impact of genAI in health care seems particularly noteworthy. In a field in which an estimated 30% of the $4.3 trillion spent each year in the US adds little to no value,1 in which many tens of thousands of people die yearly from preventable mistakes,2,3 and in which access to care is fragmented and inequities are commonplace, it is natural to be enthusiastic about the potential for genAI to improve quality, efficiency, equity, and patient experience.Keywords
This publication has 22 references indexed in Scilit:
- IEEE Spectrum2023
- The impact of electronic health record systems on clinical documentation times: A systematic reviewHealth Policy, 2018
- Electronic Health Record Logs Indicate That Physicians Split Time Evenly Between Seeing Patients And Desktop MedicineHealth Affairs, 2017
- Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 SpecialtiesAnnals of Internal Medicine, 2016
- The impact of electronic health records on healthcare quality: a systematic review and meta-analysisEuropean Journal of Public Health, 2015
- Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness ResearchMedical Care, 2013
- Eliminating Waste in US Health CareJAMA, 2012
- Wiring the Health System — Origins and Provisions of a New Federal ProgramNew England Journal of Medicine, 2011
- Beyond the productivity paradoxCommunications of the ACM, 1998
- The productivity paradox of information technologyCommunications of the ACM, 1993