Identifying Patterns of Clinical Interest in Clinicians’ Treatment Preferences: Hypothesis-free Data Science Approach to Prioritizing Prescribing Outliers for Clinical Review

Identifying Patterns of Clinical Interest in Clinicians’ Treatment Preferences: Hypothesis-free Data Science Approach to Prioritizing Prescribing Outliers for Clinical Review

BackgroundData analysis is used to identify signals suggestive of variation in treatment choice or clinical outcome. Analyses to date have generally focused on a hypothesis-driven approach. ObjectiveThis study aimed to develop a hypothesis-free approach to identif...

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Bibliographic Details
Main Authors: Brian MacKenna, Helen J Curtis, Lisa E M Hopcroft, Alex J Walker, Richard Croker, Orla Macdonald, Stephen J W Evans, Peter Inglesby, David Evans, Jessica Morley, Sebastian C J Bacon, Ben Goldacre
Format: Article
Language:English
Published: JMIR Publications 2022-12-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2022/12/e41200

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https://medinform.jmir.org/2022/12/e41200

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