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Peer-reviewedLicence not statedJournal of the American Medical Informatics Association : JAMIA

Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs

5 affiliations
  1. 1University of Wisconsin-Madison, 53726, WI, USA
  2. 2Loyola University Chicago, 60626, IL, USA
  3. 3Computational Health Informatics Program, Boston Children’s Hospital, MA, USA
  4. 4Department of Pediatrics, Harvard Medical School, MA, USA
  5. 5University of Colorado-Anschutz, CO, USA

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BibTeX
@article{myers2026evaluating,
  title = {{Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs}},
  author = {Skatje Myers and Dmitriy Dligach and Timothy A. Miller and Samantha Barr and James Landefeld and Yanjun Gao and Matthew M. Churpek and Anoop Mayampurath and Majid Afshar},
  journal = {Journal of the American Medical Informatics Association : JAMIA},
  year = {2026},
  month = nov,
  doi = {10.1093/jamia/ocag139},
  url = {https://doi.org/10.1093/jamia/ocag139},
}
RIS
TY  - JOUR
TI  - Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs
AU  - Skatje Myers
AU  - Dmitriy Dligach
AU  - Timothy A. Miller
AU  - Samantha Barr
AU  - James Landefeld
AU  - Yanjun Gao
AU  - Matthew M. Churpek
AU  - Anoop Mayampurath
AU  - Majid Afshar
PY  - 2026
DA  - 2026/11/01
JO  - Journal of the American Medical Informatics Association : JAMIA
DO  - 10.1093/jamia/ocag139
UR  - https://doi.org/10.1093/jamia/ocag139
SN  - 1067-5027
SN  - 1527-974X
ER  -