Development and validation of a model for surveillance of postoperative bleeding complications using structured electronic health records data.

ABSTRACT:

Background

Postoperative bleeding complications surveillance is done primarily through manual chart review. The purpose of this study was to develop and validate a detection model for postoperative bleeding complications using structured electronic health records data.

Methods

Patients who underwent operations at 1 of 5 hospitals within our local health system between 2013 and 2019 and whose complications were reported by the American College of Surgeons National Surgical Quality Improvement Program were included. Electronic health records data were linked to American College of Surgeons National Surgical Quality Improvement Program data using personal health identifiers. Electronic health records predictors included diagnosis codes mapped to PheCodes, procedure names, and m

SUBMITTER: Dyas AR 

PROVIDER: S-EPMC10204070 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature