Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health.

IF 4.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES Milbank Quarterly Pub Date : 2024-08-08 DOI:10.1111/1468-0009.12712
Thelma C Hurd, Fay Cobb Payton, Darryl B Hood
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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.

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在医疗保健中瞄准机器学习和人工智能算法,以减少偏差并改善人群健康。
政策要点 人工智能(AI)正在对医疗保健进行颠覆性创新,并超越了我们界定其在医疗保健中的界限和作用以及以合法和合乎道德的方式规范其应用的能力。美国和欧盟在治理方面已取得重大进展。开发者、最终用户、公众、医疗服务提供者、医疗保健系统和政策制定者有责任通力合作,确保我们通过一项国家人工智能健康战略,实现 "五重目标"(Quintuple Aim);最大限度地减少基于种族的医疗;优先考虑透明度、公平性和算法警惕性;并在人工智能开发和部署的所有方面融入患者和社区的声音。
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来源期刊
Milbank Quarterly
Milbank Quarterly 医学-卫生保健
CiteScore
9.60
自引率
3.00%
发文量
37
审稿时长
>12 weeks
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.
期刊最新文献
A Mixed-Methods Exploration of the Implementation of Policies That Earmarked Taxes for Behavioral Health. Reforming Physician Licensure in the United States to Improve Access to Telehealth: State, Regional, and Federal Initiatives. Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health. Policy Recommendations for Coordinated and Sustainable Growth of the Behavioral Health Workforce. State-Level Education Quality and Trajectories of Cognitive Function by Race and Educational Attainment.
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