Electronic health record-based prediction models for in-hospital adverse drug event diagnosis or prognosis: a systematic review.

ABSTRACT:

Objective

We conducted a systematic review to characterize and critically appraise developed prediction models based on structured electronic health record (EHR) data for adverse drug event (ADE) diagnosis and prognosis in adult hospitalized patients.

Materials and methods

We searched the Embase and Medline databases (from January 1, 1999, to July 4, 2022) for articles utilizing structured EHR data to develop ADE prediction models for adult inpatients. For our systematic evidence synthesis and critical appraisal, we applied the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS).

Results

Twenty-five articles were included. Studies often did not report crucial information such as patient characteristics o

SUBMITTER: Yasrebi-de Kom IAR 

PROVIDER: S-EPMC10114128 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature