What question did this study set out to answer?

The study aims to improve the efficiency of chart reviews and validate algorithms in large database studies.

April 10, 2026

An expedited chart review process for large database studies using natural language processing and multi-wave adaptive sampling

SWShirley V WangBrigham and Women's Hospital GHGeorg HahnBrigham and Women's Hospital SSSushama Kattinakere SreedharaBrigham and Women's Hospital

Key Points

The study aims to improve the efficiency of chart reviews and validate algorithms in large database studies.
Developed a natural language processing system for chart review.
Implemented a multi-wave adaptive sampling approach.
Analyzed the reliability of code-based algorithms used in database studies.
Improved validation processes for algorithmic definitions of study parameters.
Enhanced understanding of result reliability in database environments.

Abstract

This approach could facilitate more routine validation of code-based algorithms used to define key study parameters, ultimately enhancing understanding of the reliability of findings derived from database studies.

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