Using natural language processing to identify acute care patients who lack advance directives, decisional capacity, and surrogate decision makers

The prevalence of patients who are Incapacitated with No Evident Advance Directives or Surrogates (INEADS) remains unknown because such data are not routinely captured in structured electronic health records. This study sought to develop and validate a natural language processing (NLP) algorithm to...

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Veröffentlicht in:	PloS one 2022-07, Vol.17 (7), p.e0270220-e0270220
Hauptverfasser:	Song, Jiyoun, Topaz, Maxim, Landau, Aviv Y, Klitzman, Robert, Shang, Jingjing, Stone, Patricia, McDonald, Margaret, Cohen, Bevin
Format:	Artikel
Sprache:	eng
Schlagworte:	Advance directives Algorithms Bioethics Computational linguistics Computer and Information Sciences Decision-making Documentation Electronic health records Electronic medical records Emergency medical services Evaluation Government programs Health aspects Health care facilities Hospitals Informatics Intensive care Language Language processing Medicaid Medical decision making Medical records Medicine Medicine and Health Sciences Natural language interfaces Natural language processing Nursing Palliative care Patient admissions Patients People and Places Physical Sciences Public health Research and Analysis Methods Social interactions Social support Social work Surrogate motherhood Teams Vocabulary
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