A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews

Many health care systems now allow patients to access their electronic health record (EHR) notes online through patient portals. Medical jargon in EHR notes can confuse patients, which may interfere with potential benefits of patient access to EHR notes. The aim of this study was to develop and eval...

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Veröffentlicht in:	Journal of medical Internet research Jg. 20; H. 1; S. e26
Hauptverfasser:	Chen, Jinying, Druhl, Emily, Polepalli Ramesh, Balaji, Houston, Thomas K, Brandt, Cynthia A, Zulman, Donna M, Vimalananda, Varsha G, Malkani, Samir, Yu, Hong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Canada Gunther Eysenbach MD MPH, Associate Professor 22.01.2018 JMIR Publications
Schlagworte:	Access Algorithms Ambiguity Blood pressure Candidates Comprehension Content analysis Drugs Electronic health records Evaluation Feedback Health Health care Health education Health literacy Health services Human-computer interaction Influenza Innovations Internet Jargon Lay people Medical language Medical records Medical terminology Natural language processing Original Paper Patient satisfaction Patients Personal health Physicians Practitioner patient relationship Relevance feedback Subject specialists Supervision Systems development Usability Validity Veterans Vocabularies & taxonomies Web portals United States > US Pittsburgh Pennsylvania usability testing computer software electronic health records natural language processing consumer health informatics
ISSN:	1438-8871, 1439-4456, 1438-8871
Online-Zugang:	Volltext
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