A Systematic Process for Assessing Fitness-for-Purpose of Health Outcomes for Computable Phenotyping with Electronic Health Record Data

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Purpose</h4> Information from electronic health records (EHRs) may be incorporated into computable phenotype algorithms in efforts to overcome inaccuracies of algorithms based on administrative claims data alone. However, such efforts can be resource-intensive and unsuccessful. Assessing the feasibility of computable phenotyping for a health outcome of interest (HOI) before proceeding is th...

Topics

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• Algorithms
• Diagnosis, Computer-Assisted
• Electronic Health Records
• International Classification of Diseases
• Machine Learning
• Natural Language Processing
• Outcome Assessment, Health Care
• Phenotype

Identifiers and source

Literature Corpus work

bc6d2596-7f08-55ac-8b2e-59edf47e5b53

DOI

10.1101/2025.08.29.25334394