Ontology highlight
ABSTRACT: Objective
To assess novel dynamic reaction picklists for improving allergy reaction documentation compared to a static reaction picklist.Materials and methods
We developed three web-based user interfaces (UIs) mimicking the Mass General Brigham's EHR allergy module: the first and second UIs (i.e., UI-1D, UI-2D) implemented two dynamic reaction picklists with different ranking algorithms and the third UI (UI-3S) implemented a static reaction picklist like the one used in the current EHR. We recruited 18 clinicians to perform allergy entry for 10 test cases each via UI-1D and UI-3S, and another 18 clinicians via UI-2D and UI-3S. Primary measures were the number of free-text entries and time to complete the allergy entry. Clinicians were also interviewed using 30 questions bef
SUBMITTER: Wang L
PROVIDER: S-EPMC10167939 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature