PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
March 27, 2026Applied Clinical Informatics

Evaluating the Fitness for Purpose of Primary Care Data from EHRs for Automated Antimicrobial Prescribing Audits

View Full Paper
Ask AI
Bookmark
Share

Authors

RCRon CheahJMJo-Anne Manski-NankervisKTKarin Thursky

Discussion

Loading...

Member takes

Overview

Cross-sectional assessment of primary care EHR data shows promising quality for antimicrobial audits, suggesting needed improvements in documentation.

Key Points

  • The aim is to evaluate the completeness and plausibility of primary care EHR data for conducting audits on antimicrobial prescriptions.
  • Conducted a cross-sectional descriptive assessment of EHR data from Patron.
  • Analyzed antimicrobial auditing-related fields from 3.5 million patients across 129 practices.
  • Employed the Harmonized Data Quality Assessment Terminology and Framework to evaluate data.
  • Thirty-one fields and over 137 million rows of data were assessed for quality.
  • High value conformance and plausibility were found for most core variables.
  • Prescribing indication had low completeness (13-27%), and allergy severity was noted in only 26% of cases.

Cite This Study

Cheah et al. (2026) studied this question.

synapsesocial.com/papers/69c620d515a0a509bde1970chttps://doi.org/10.1055/a-2839-8787
View Full Paper
Ask AI
Bookmark
Share