A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record | Zendy

Liqin Wang | Zendy; Suzanne V. Blackley | Zendy; Kimberly G. Blumenthal | Zendy; Sharmitha Yerneni | Zendy; Foster R. Goss | Zendy; Ying-Chih Lo | Zendy; Sonam N. Shah | Zendy; Carlos A. Ortega | Zendy; Zfania Tom Korach | Zendy; Diane L. Seger | Zendy; Li Zhou | Zendy

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A dynamic reaction picklist for improving allergy reaction documentation in the electronic health record

Author(s) -

Liqin Wang,

Suzanne V. Blackley,

Kimberly G. Blumenthal,

Sharmitha Yerneni,

Foster R. Goss,

Ying-Chih Lo,

Sonam N. Shah,

Carlos A. Ortega,

Zfania Tom Korach,

Diane L. Seger,

Li Zhou

Publication year - 2020

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/ocaa042

Subject(s) - documentation , computer science , usability , set (abstract data type) , ranking (information retrieval) , electronic health record , value (mathematics) , drug reaction , data mining , medicine , information retrieval , machine learning , health care , programming language , drug , human–computer interaction , psychiatry , economics , economic growth

Incomplete and static reaction picklists in the allergy module led to free-text and missing entries that inhibit the clinical decision support intended to prevent adverse drug reactions. We developed a novel, data-driven, "dynamic" reaction picklist to improve allergy documentation in the electronic health record (EHR).

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