Examining clinician choice to follow-up (or not) on automated notifications of medication non-adherence by clinical decision support systems.

ABSTRACT:

Background

Maintaining medication adherence can be challenging for people living with mental ill-health. Clinical decision support systems (CDSS) based on automated detection of problematic patterns in Electronic Health Records (EHRs) have the potential to enable early intervention into non-adherence events ("flags") through suggesting evidence-based courses of action. However, extant literature shows multiple barriers-perceived lack of benefit in following up low-risk cases, veracity of data, human-centric design concerns, etc.-to clinician follow-up in real-world settings. This study examined patterns in clinician decision making behaviour related to follow-up of non-adherence prompts within a community mental health clinic.

Methods

The prompts for follow-up, and the recor

SUBMITTER: Thorpe D 

PROVIDER: S-EPMC9887874 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature