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

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

doi:10.1111/1468-0009.70025

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

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

Research output: Contribution to journal › Article › peer-review

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.

Original language	English (US)
Journal	Milbank Quarterly
DOIs	https://doi.org/10.1111/1468-0009.70025
State	Accepted/In press - 2025

Keywords

artificial intelligence
data science
epidemiology
overdose
population health
prevention

ASJC Scopus subject areas

Health Policy
Public Health, Environmental and Occupational Health

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10.1111/1468-0009.70025

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

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.",

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AU - Marshall, Brandon D.L.

AU - Keyes, Katherine M.

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AB - 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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KW - data science

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KW - population health

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

Abstract

Keywords

ASJC Scopus subject areas

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