Going Beyond Administrative Data: Retrospective Evaluation of an Algorithm Using the Electronic Health Record to Help Identify Bleeding Events Among Hospitalized Medical Patients on Warfarin

Am J Med Qual. 2017 Jul/Aug;32(4):391-396. doi: 10.1177/1062860616660757. Epub 2016 Jul 25.

Abstract

To reliably assess quality, a standardized electronic approach is needed to identify bleeding events. The study aims were the following: (1) clinically validate an electronic health record-based algorithm for bleeding and (2) assess interrater results to determine validity and reliability. Data were analyzed before and after implementation of a pharmacist-managed warfarin protocol. Bleeding was based on ≥2 of 3 criteria: (1) diagnosis indicating bleeding, (2) lab value decrease suggesting bleeding, and (3) blood product use. All suspected bleeds (234) and a sample (58) not meeting criteria were compared with clinical review. There were 234 bleeding cases identified electronically. Reviewer agreement was 78.2% (κ = 0.565). Algorithm sensitivity was 93.9% and positive predictive value 46.2%. Algorithm identification was least accurate for those with only 2 criteria but good for those with all criteria. This study supports using multiple electronic criteria to identify bleeding events. However, cases having exactly 2 criteria may require manual review for validation.

Keywords: algorithms; electronic health records; hemorrhage; warfarin.

MeSH terms

  • Algorithms
  • Anticoagulants / adverse effects*
  • Clinical Protocols
  • Electronic Health Records / organization & administration*
  • Female
  • Hemorrhage / chemically induced*
  • Hemorrhage / prevention & control
  • Humans
  • Male
  • Patient Safety
  • Quality Improvement / organization & administration*
  • Reproducibility of Results
  • Retrospective Studies
  • Warfarin / adverse effects*

Substances

  • Anticoagulants
  • Warfarin