Development and retrospective evaluation of a clinical decision support system for the efficient detection of drug-related problems by clinical pharmacists.

ABSTRACT:

Background

Clinical decision support systems (CDSS) can help identify drug-related problems (DRPs). However, the alert specificity remains variable. Defining more relevant alerts for detecting DRPs would improve CDSS.

Aim

Develop electronic queries that assist pharmacists in conducting medication reviews and an assessment of the performance of this model to detect DRPs.

Method

Electronic queries were set up in CDSS using "triggers" from electronic health records: drug prescriptions, laboratory values, medical problems, vital signs, demographics. They were based on a previous study where 315 patients admitted in internal medicine benefited from a multidisciplinary medication review (gold-standard) to highlight potential DRPs. Electronic queries were retrospectively tes

SUBMITTER: Skalafouris C 

PROVIDER: S-EPMC10147748 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature