Generative artificial intelligence for inpatient documentation summarization: mixed-methods quality assessment and early real-world experience.
- DOI
- 10.1093/jamia/ocag076
- Published
- 2026 Aug 1
- Container
- Journal of the American Medical Informatics Association : JAMIA
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1093/jamia/ocag076,
title = {Generative artificial intelligence for inpatient documentation summarization: mixed-methods quality assessment and early real-world experience.},
author = {Peters SG and Boyum JP and Legler SR and Heise KJ and Griffin A and Heaton HA},
year = {2026},
journal = {Journal of the American Medical Informatics Association : JAMIA},
doi = {10.1093/jamia/ocag076},
url = {https://doi.org/10.1093/jamia/ocag076}
}RIS
TY - JOUR TI - Generative artificial intelligence for inpatient documentation summarization: mixed-methods quality assessment and early real-world experience. AU - Peters SG AU - Boyum JP AU - Legler SR AU - Heise KJ AU - Griffin A AU - Heaton HA PY - 2026 JO - Journal of the American Medical Informatics Association : JAMIA DO - 10.1093/jamia/ocag076 UR - https://doi.org/10.1093/jamia/ocag076 ER -
APA
SG, P., JP, B., SR, L., KJ, H., A, G., & HA, H. (2026). Generative artificial intelligence for inpatient documentation summarization: mixed-methods quality assessment and early real-world experience.. Journal of the American Medical Informatics Association : JAMIA. https://doi.org/10.1093/jamia/ocag076
Source records
- pubmed · retrieved 2026-09-25T03:02:15.383Z