ArticleApplied clinical informatics2025
Evolution of an Electronic Health Record-Based Alert to Optimize Venous Thromboembolism Prophylaxis.
Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Construction of a Follow-up Evaluation Index System for Patients with Venous Thromboembolism Based on the Donabedian Model: A Modified Delphi Study.Journal of multidisciplinary healthcare · 2026Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Venous thromboembolism (VTE) prophylaxis in hospitalized patients must balance risks of bleeding and thrombosis. Clinical changes such as bleeding or renal injury can also trigger changes or delays in thromboprophylaxis. Electronic health record alerts (EHRAs) can allow for targeted notification to providers to improve venous thromboembolism prophylaxis and improve patient outcomes at the risk of alert fatigue if not carefully designed and implemented.This study aimed to develop and refine an EHRA that minimizes nuisance alerts while facilitating appropriate ordering of VTE prophylaxis for medical patients.A multidisciplinary group at a single large safety-net academic medical center developed an EHRA to identify patients at increased thrombosis risk, but without orders for VTE prophylaxis. This was refined over four phases: development and validation, initial monitoring and exclusion criteria adjustment, COVID-19-related modifications, and delayed surveillance and modification. Data analysis evaluated criteria including alert frequency, alert action/utilization, and alert duration.The EHRA fired an average of 33.3 times per day across all phases of the study. Phase 1 of EHRA implementation showed significantly increased alerts per patient (6.4 to 43.3 alerts per day,
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