Impact of a problem-oriented view on clinical data retrieval | Zendy

Michael G. Semanik | Zendy; Peter Kleinschmidt | Zendy; Adam Wright | Zendy; DuWayne L. Willett | Zendy; Shan M. Dean | Zendy; Sameh N. Saleh | Zendy; Zoe Co | Zendy; Emmanuel Sampene | Zendy; Joel R Buchanan | Zendy

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Impact of a problem-oriented view on clinical data retrieval

Author(s) -

Michael G. Semanik,

Peter Kleinschmidt,

Adam Wright,

DuWayne L. Willett,

Shan M. Dean,

Sameh N. Saleh,

Zoe Co,

Emmanuel Sampene,

Joel R Buchanan

Publication year - 2021

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocaa332

Subject(s) - computer science , information retrieval

The electronic health record (EHR) data deluge makes data retrieval more difficult, escalating cognitive load and exacerbating clinician burnout. New auto-summarization techniques are needed. The study goal was to determine if problem-oriented view (POV) auto-summaries improve data retrieval workflows. We hypothesized that POV users would perform tasks faster, make fewer errors, be more satisfied with EHR use, and experience less cognitive load as compared with users of the standard view (SV).

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