{"title":"Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health.","authors":"Thelma C Hurd, Fay Cobb Payton, Darryl B Hood","doi":"10.1111/1468-0009.12712","DOIUrl":null,"url":null,"abstract":"<p><p>Policy Points Artificial intelligence (AI) is disruptively innovating health care and surpassing our ability to define its boundaries and roles in health care and regulate its application in legal and ethical ways. Significant progress has been made in governance in the United States and the European Union. It is incumbent on developers, end users, the public, providers, health care systems, and policymakers to collaboratively ensure that we adopt a national AI health strategy that realizes the Quintuple Aim; minimizes race-based medicine; prioritizes transparency, equity, and algorithmic vigilance; and integrates the patient and community voices throughout all aspects of AI development and deployment.</p>","PeriodicalId":49810,"journal":{"name":"Milbank Quarterly","volume":" ","pages":"577-604"},"PeriodicalIF":4.8000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11576591/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Milbank Quarterly","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/1468-0009.12712","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Policy Points Artificial intelligence (AI) is disruptively innovating health care and surpassing our ability to define its boundaries and roles in health care and regulate its application in legal and ethical ways. Significant progress has been made in governance in the United States and the European Union. It is incumbent on developers, end users, the public, providers, health care systems, and policymakers to collaboratively ensure that we adopt a national AI health strategy that realizes the Quintuple Aim; minimizes race-based medicine; prioritizes transparency, equity, and algorithmic vigilance; and integrates the patient and community voices throughout all aspects of AI development and deployment.
期刊介绍:
The Milbank Quarterly is devoted to scholarly analysis of significant issues in health and health care policy. It presents original research, policy analysis, and commentary from academics, clinicians, and policymakers. The in-depth, multidisciplinary approach of the journal permits contributors to explore fully the social origins of health in our society and to examine in detail the implications of different health policies. Topics addressed in The Milbank Quarterly include the impact of social factors on health, prevention, allocation of health care resources, legal and ethical issues in health policy, health and health care administration, and the organization and financing of health care.