Machine Learning and Health Care: Potential Benefits and Issues. Issue 2 (18th April 2023)

• Record Type: Journal Article
• Authors: Atkinson, J. Graham; Atkinson, Elizabeth G.
• Is Part Of: Journal of ambulatory care management. Volume 46:Issue 2(2023)
• Page Start: 114
• Page End: 120
• Publication Date: 2023-04-18
• Subjects: artificial intelligence -- big data -- biobanks -- electronic health records -- machine learning; Ambulatory medical care -- Administration -- Periodicals; Ambulatory medical care -- United States -- Administration -- Periodicals; Community health services -- Administration -- Periodicals; Community health services -- United States -- Administration -- Periodicals; Health planning -- Periodicals; Health planning -- United States -- Periodicals; 362.12
• DOI: 10.1097/JAC.0000000000000453
• Languages: English
• ISSNs: 0148-9917

Abstract

Abstract : We discuss the potential for machine learning (ML) and artificial intelligence (AI) to improve health care, while detailing caveats and important considerations to ensure unbiased and equitable implementation. If disparities exist in the data used to train ML algorithms, they must be recognized and accounted for, so they do not bias performance accuracy or are not interpreted by the algorithm as simply a lack of need. We pay particular attention to an area in which bias in data composition is particularly striking, that is in large-scale genetics databases, as people of European descent are vastly overrepresented in the existing resources.