AI-Driven Clinical Decision Support to Reduce Hospital-Acquired Venous Thromboembolism: A Trial Protocol.

ABSTRACT:

Importance

Hospital-acquired venous thromboembolism (HA-VTE) remains a leading cause of preventable death among hospitalized adults in the US. Despite numerous attempts to prognosticate HA-VTE with risk models, no single model has outperformed the rest, and the effectiveness of such models to drive prophylaxis decisions is unknown. Testing such systems in urban and rural settings may inform their generalizability.

Objective

To conduct a randomized clinical trial to assess the effectiveness of artificial intelligence (AI)-driven clinical decision support (CDS) in reducing HA-VTE incidence in adults across urban and rural hospital settings.

Design, setting, and participants

This parallel-group, single-blind, pragmatic randomized clinical trial is planned to be conducted

SUBMITTER: Walsh CG 

PROVIDER: S-EPMC12495493 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature