Operationalizing Large Language Models for Clinical Research Data Extraction: Methods, Quality Control, and Governance.
- DOI
- 10.1007/s10916-026-02353-w
- Published
- 2026 Feb 25
- Container
- Journal of medical systems
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s10916-026-02353-w,
title = {Operationalizing Large Language Models for Clinical Research Data Extraction: Methods, Quality Control, and Governance.},
author = {Chen L and He R and Lu P and Jin Y and Zhou L and Li N and Wu P and Hu B},
year = {2026},
journal = {Journal of medical systems},
doi = {10.1007/s10916-026-02353-w},
url = {https://doi.org/10.1007/s10916-026-02353-w}
}RIS
TY - JOUR TI - Operationalizing Large Language Models for Clinical Research Data Extraction: Methods, Quality Control, and Governance. AU - Chen L AU - He R AU - Lu P AU - Jin Y AU - Zhou L AU - Li N AU - Wu P AU - Hu B PY - 2026 JO - Journal of medical systems DO - 10.1007/s10916-026-02353-w UR - https://doi.org/10.1007/s10916-026-02353-w ER -
APA
L, C., R, H., P, L., Y, J., L, Z., N, L., P, W., & B, H. (2026). Operationalizing Large Language Models for Clinical Research Data Extraction: Methods, Quality Control, and Governance.. Journal of medical systems. https://doi.org/10.1007/s10916-026-02353-w
Source records
- pubmed · retrieved 2026-09-27T10:28:31.759Z