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dc.contributor.author
Klang, Eyal
dc.contributor.author
Garcia Elorrio, Ezequiel
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dc.contributor.author
Zimlichman, Eyal
dc.date.available
2024-06-06T14:09:49Z
dc.date.issued
2023-07
dc.identifier.citation
Klang, Eyal; Garcia Elorrio, Ezequiel; Zimlichman, Eyal; Revolutionizing patient safety with artificial intelligence: The potential of natural language processing and large language models; Oxford University Press; International Journal for Quality in Health Care; 35; 3; 7-2023; 1-2
dc.identifier.uri
http://hdl.handle.net/11336/237363
dc.description.abstract
Patient safety is a critical aspect of modern health care. Adverse events, half of them preventable, related to unsafe care are among the top ten causes of death and disability worldwide [1, 2]. Insecure care results in significant incremental expenses when, e.g. hospital-acquired infections, account for high rates of morbidity and mortality, as well as considerable costs [3]. Despite efforts to improve safety in the health-care system, issues still persist, and progress has been unsatisfactory over the last 30 years [4]. Artificial intelligence (AI) has the potential to address challenges in health care by providing solutions to predict and prevent harm [1]. In this editorial, we will discuss the potential of advanced AI, specifically natural language processing (NLP) and large language models (LLMs), to improve patient safety while also acknowledging the risks and challenges associated with their implementation...
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Oxford University Press
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dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Humans
dc.subject
Artificial Intelligence
dc.subject
Natural Language Processing
dc.subject
Patient Safety
dc.subject
Language
dc.subject.classification
Otras Ciencias de la Salud
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dc.subject.classification
Ciencias de la Salud
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dc.subject.classification
CIENCIAS MÉDICAS Y DE LA SALUD
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dc.title
Revolutionizing patient safety with artificial intelligence: The potential of natural language processing and large language models
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-06-06T10:46:07Z
dc.identifier.eissn
1464-3677
dc.journal.volume
35
dc.journal.number
3
dc.journal.pagination
1-2
dc.journal.pais
Reino Unido
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dc.journal.ciudad
Oxford
dc.description.fil
Fil: Klang, Eyal. Sheba Medical Center; Israel. Universitat Tel Aviv; Israel
dc.description.fil
Fil: Garcia Elorrio, Ezequiel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto de Efectividad Clínica y Sanitaria; Argentina
dc.description.fil
Fil: Zimlichman, Eyal. Sheba Medical Center; Israel. Universitat Tel Aviv; Israel
dc.journal.title
International Journal for Quality in Health Care
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1093/intqhc/mzad049
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/intqhc/article/35/3/mzad049/7221485
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