Revolutionizing patient safety with artificial intelligence: the potential of natural language processing and large language models
Int J Qual Health Care
.
2023 Jul 7;35(3):mzad049.
doi: 10.1093/intqhc/mzad049.
Authors
Eyal Klang
1
2
3
4
,
Ezequiel García-Elorrio
5
,
Eyal Zimlichman
3
4
6
Affiliations
1
Sami Sagol AI Hub, ARC, Sheba Medical Center, Ramat Gan, Israel.
2
Department of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel.
3
Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
4
Sheba Medical Center, The Sheba Talpiot Medical Leadership Program, Ramat Gan, Israel.
5
Department of Health Care Quality and Patient Safety, Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.
6
Hospital Management, Sheba Medical Center, Ramat Gan, Israel.
PMID:
37421312
DOI:
10.1093/intqhc/mzad049
No abstract available
MeSH terms
Artificial Intelligence*
Humans
Language
Natural Language Processing*
Patient Safety