Identifying Goals of Care Conversations in the Electronic Health Record Using Natural Language Processing and Machine Learning

Goals-of-care discussions are an important quality metric in palliative care. However, goals-of-care discussions are often documented as free text in diverse locations. It is difficult to identify these discussions in the electronic health record (EHR) efficiently. To develop, train, and test an aut...

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Veröffentlicht in:	Journal of pain and symptom management Jg. 61; H. 1; S. 136 - 142.e2
Hauptverfasser:	Lee, Robert Y., Brumback, Lyndia C., Lober, William B., Sibley, James, Nielsen, Elizabeth L., Treece, Patsy D., Kross, Erin K., Loggers, Elizabeth T., Fausto, James A., Lindvall, Charlotta, Engelberg, Ruth A., Curtis, J. Randall
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 01.01.2021 Elsevier Limited
Schlagworte:	Anesthesia Computerized medical records Documentation electronic health record Electronic Health Records goals of care Health Health records Health services Humans Inpatient care Language acquisition Learning environment Machine Learning medical informatics Medical records Natural Language Processing Objectives Pain Medicine Palliative Care Patient Care Planning Patients quality improvement Quality of care Subsets goals of care Natural language processing medical informatics machine learning electronic health record quality improvement
ISSN:	0885-3924, 1873-6513, 1873-6513
Online-Zugang:	Volltext
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