Magdalena Cerdá, Daniel B Neill, Ellicott C Matthay, Johnathan A Jenkins, Brandon D L Marshall, Katherine M Keyes
{"title":"Stemming the Tide of the US Overdose Crisis: How Can We Leverage the Power of Data Science and Artificial Intelligence?","authors":"Magdalena Cerdá, Daniel B Neill, Ellicott C Matthay, Johnathan A Jenkins, Brandon D L Marshall, Katherine M Keyes","doi":"10.1111/1468-0009.70025","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":49810,"journal":{"name":"Milbank Quarterly","volume":" ","pages":""},"PeriodicalIF":4.8000,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Milbank Quarterly","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/1468-0009.70025","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.