Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces.

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第一作者： Nathaniel R,Greenbaum

第一单位： Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, United States; Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.

作者： Nathaniel R,Greenbaum ^[1] ; Yacine,Jernite ^[2] ; Yoni,Halpern ^[2] ; Shelley,Calder ^[3] ; Larry A,Nathanson ^[1] ; David A,Sontag ^[4] ; Steven,Horng ^[5]

作者单位： Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, United States; Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States. ^[1] New York University, New York, NY, United States. ^[2] Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States. ^[3] Massachusetts Institute of Technology, Cambridge, MA, United States. ^[4] Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, United States; Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States; Center for Healthcare Delivery Science, Beth Israel Deaconess Medical Center, Boston, MA, United States. Electronic address: shorng@bidmc.harvard.edu. ^[5]

关键词 Artificial intelligence Contextual autocomplete Machine learning Ontology User-computer interface