Evaluating retrieval-augmented generation versus long-context input for clinical reasoning over electronic health records.
- DOI
- 10.1093/jamia/ocag139
- Published
- 2026 Sep 8
- Container
- Journal of the American Medical Informatics Association : JAMIA
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/jamia/ocag139,
title = {Evaluating retrieval-augmented generation versus long-context input for clinical reasoning over electronic health records.},
author = {Myers S and Dligach D and Miller TA and Barr S and Landefeld J and Gao Y and Churpek MM and Mayampurath A and Afshar M},
year = {2026},
journal = {Journal of the American Medical Informatics Association : JAMIA},
doi = {10.1093/jamia/ocag139},
url = {https://doi.org/10.1093/jamia/ocag139}
}RIS
TY - JOUR TI - Evaluating retrieval-augmented generation versus long-context input for clinical reasoning over electronic health records. AU - Myers S AU - Dligach D AU - Miller TA AU - Barr S AU - Landefeld J AU - Gao Y AU - Churpek MM AU - Mayampurath A AU - Afshar M PY - 2026 JO - Journal of the American Medical Informatics Association : JAMIA DO - 10.1093/jamia/ocag139 UR - https://doi.org/10.1093/jamia/ocag139 ER -
APA
S, M., D, D., TA, M., S, B., J, L., Y, G., MM, C., A, M., & M, A. (2026). Evaluating retrieval-augmented generation versus long-context input for clinical reasoning over electronic health records.. Journal of the American Medical Informatics Association : JAMIA. https://doi.org/10.1093/jamia/ocag139
Source records
- pubmed · retrieved 2026-09-25T00:21:01.160Z