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

ABSTRACT:

Objective

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).

Materials and methods

We split 3 decades of allergy entries in the EHR of a large Massachusetts healthcare system into development and validation datasets. We consolidated duplicate allergens and those with the same ingredients or allergen groups. We created a reaction value set via expert review of a previously developed value set and then applied natural language processing to reconcile reactions from structured and free-text entries. Three associ

SUBMITTER: Wang L 

PROVIDER: S-EPMC7309236 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature