A game theoretic approach reveals that discretizing clinical information can reduce antibiotic misuse.

作者: Uri Obolski , Moshe Leshno , Dov Samet , Eias Kassem , Khitam Muhsen

DOI: 10.1038/S41467-021-21088-5

关键词:

摘要: The overuse of antibiotics is exacerbating the antibiotic resistance crisis. Since this problem a classic common-goods dilemma, it naturally lends itself to game-theoretic analysis. Hence, we designed model wherein physicians weigh whether should be prescribed, given that usage depletes its future effectiveness. physicians' decisions rely on probability bacterial infection before definitive laboratory results are available. We show equilibrium decision rule prescription not socially optimal. However, prove discretizing information provided can mitigate gap between their and social optimum prescription. Despite problem's complexity, effectiveness discretization solely depends type available physician determine nature infection. This demonstrated theoretic distributions clinical dataset. Our provide game-theory based guide for optimal output current support systems

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