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Dataset Information

Development and Validation of an Electronic Adverse Event Model for Patient Safety Surveillance in Interventional Radiology.


ABSTRACT:

Background

Comprehensive adverse event (AE) surveillance programs in interventional radiology (IR) are rare. Our aim was to develop and validate a retrospective electronic surveillance model to identify outpatient IR procedures that are likely to have an AE, to support patient safety and quality improvement.

Methods

We identified outpatient IR procedures performed in the period from October 2017 to September 2019 from the Veterans Health Administration (n = 135,283) and applied electronic triggers based on posyprocedure care to flag cases with a potential AE. From the trigger-flagged cases, we randomly sampled n = 1,500 for chart review to identify AEs. We also randomly sampled n = 600 from the unflagged cases. Chart-reviewed cases were merged with patient, procedure, and fa

SUBMITTER: Mull HJ 

PROVIDER: S-EPMC11257375 | biostudies-literature | 2024 May

REPOSITORIES: biostudies-literature