Large Language Models for Clinical Data Extraction in Workplace Injury Rehabilitation: Protocol for a Retrospective Pilot Study of Accuracy, Fairness, and Methodological Considerations in Workers’ Compensation Medical Chart Review
- DOI
- 10.2196/99807
- Published
- 2026-09-22
- Container
- JMIR Research Protocols
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/99807,
title = {Large Language Models for Clinical Data Extraction in Workplace Injury Rehabilitation: Protocol for a Retrospective Pilot Study of Accuracy, Fairness, and Methodological Considerations in Workers’ Compensation Medical Chart Review},
author = {Armaan Rehman Shah and Barbara Gorczyca Abel and Majid Komeili and Basem Gohar and Behdin Nowrouzi-Kia},
year = {2026},
journal = {JMIR Research Protocols},
doi = {10.2196/99807},
url = {https://doi.org/10.2196/99807}
}RIS
TY - JOUR TI - Large Language Models for Clinical Data Extraction in Workplace Injury Rehabilitation: Protocol for a Retrospective Pilot Study of Accuracy, Fairness, and Methodological Considerations in Workers’ Compensation Medical Chart Review AU - Armaan Rehman Shah AU - Barbara Gorczyca Abel AU - Majid Komeili AU - Basem Gohar AU - Behdin Nowrouzi-Kia PY - 2026 JO - JMIR Research Protocols DO - 10.2196/99807 UR - https://doi.org/10.2196/99807 ER -
APA
Shah, A. R., Abel, B. G., Komeili, M., Gohar, B., & Nowrouzi-Kia, B. (2026). Large Language Models for Clinical Data Extraction in Workplace Injury Rehabilitation: Protocol for a Retrospective Pilot Study of Accuracy, Fairness, and Methodological Considerations in Workers’ Compensation Medical Chart Review. JMIR Research Protocols. https://doi.org/10.2196/99807
Source records
- crossref · retrieved 2026-09-24T22:11:18.640Z