Article

Predicting Annotation Yield in Artificial Intelligence-Ranked Electronic Health Record Cohorts: A Regression-Based Framework for Efficient Manual Review

2025-07-23

Abstract excerpt

<title>Abstract</title> <p>Background Painstaking manual chart review of EHRs is still the chief bottleneck in retrospective studies, especially when rare-disease cohorts demand high specificity. Automated NLP rankers help, yet when trained on dated data they leave teams guessing how long to keep reviewing charts. We therefore present a regression-based ‘screening-saturation’ model that predicts residual yield at...

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Literature Corpus work: af648a36-d363-5e1f-83f6-acecb4ccc1ce
DOI: 10.21203/rs.3.rs-6966149/v1

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