遏制美国药物过量危机：我们如何利用数据科学和人工智能的力量？

IF 4.8 2区医学 Q1 HEALTH CARE SCIENCES & SERVICES

Milbank Quarterly Pub Date : 2025-06-04 DOI:10.1111/1468-0009.70025

Magdalena Cerdá, Daniel B Neill, Ellicott C Matthay, Johnathan A Jenkins, Brandon D L Marshall, Katherine M Keyes

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引用次数: 0

摘要

我们可以利用数据科学和人工智能为州和地方资源分配提供信息，以预防药物过量。数据科学和人工智能可以帮助我们回答四个问题：(1)法律对获得干预措施和过量用药风险的影响是什么？(2)干预措施应针对哪些方面？(3)哪些类型的人口亚群从干预中受益最多，哪些受益最少？(4)针对每种环境和人群，他们应该投资于哪种干预措施？数据科学和人工智能的进步可以加快我们回答这些关键问题的速度，并帮助我们制定有效的过量预防措施。

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Stemming the Tide of the US Overdose Crisis: How Can We Leverage the Power of Data Science and Artificial Intelligence?

Policy Points We can leverage data science and artificial intelligence to inform state and local resource allocation for overdose prevention. Data science and artificial intelligence can help us answer four questions: (1) What is the impact of laws on access to interventions and overdose risk? (2) Where should interventions be targeted? (3) Which types of demographic subgroups benefit the most and the least from interventions? and (4) Which types of interventions should they invest in for each setting and population? Advances in data science and artificial intelligence can accelerate the pace at which we can answer these critical questions and help inform an effective overdose prevention response.

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来源期刊

Milbank Quarterly 医学-卫生保健

CiteScore

9.60

自引率

3.00%

发文量

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.