Why the study?
Does an electronic health record-based algorithm accurately identify bleeding events in hospitalized medical patients on warfarin compared to clinical review?
Population
Hospitalized medical patients on warfarin. 292 cases reviewed.
Comparison
Electronic health record-based algorithm for… vs Clinical review (manual review)
Design
Cohort
Key result
An electronic health record-based algorithm for identifying bleeding events demonstrated a sensitivity of 93.9% and a positive predictive value of 46.2% compared with clinical review.
Authors
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Low PPV cautions against standalone clinical use without manual review; leaves open the need for refined algorithms and broader validation.
Observational (n=292)
Does an electronic health record-based algorithm accurately identify bleeding events in hospitalized medical patients on warfarin compared to clinical review?
An EHR-based algorithm using multiple criteria can identify bleeding events in hospitalized patients on warfarin with high sensitivity but low positive predictive value, requiring manual review for cases meeting only 2 criteria.
Moriarty et al. (2016) conducted an observational in Bleeding events in hospitalized medical patients on warfarin (n=292). Electronic health record-based algorithm vs. Clinical review was evaluated on Algorithm sensitivity and positive predictive value. An electronic health record-based algorithm for identifying bleeding events demonstrated a sensitivity of 93.9% and a positive predictive value of 46.2% compared with clinical review.