Development of a fully automated surgical site infection detection algorithm for use in cardiac and orthopedic surgery research.

ABSTRACT:

Objective

To develop a fully automated algorithm using data from the Veterans' Affairs (VA) electrical medical record (EMR) to identify deep-incisional surgical site infections (SSIs) after cardiac surgeries and total joint arthroplasties (TJAs) to be used for research studies.

Design

Retrospective cohort study.

Setting

This study was conducted in 11 VA hospitals.

Participants

Patients who underwent coronary artery bypass grafting or valve replacement between January 1, 2010, and March 31, 2018 (cardiac cohort) and patients who underwent total hip arthroplasty or total knee arthroplasty between January 1, 2007, and March 31, 2018 (TJA cohort).

Methods

Relevant clinical information and administrative code data were extracted from the EMR. The outcomes of

SUBMITTER: Suzuki H 

PROVIDER: S-EPMC8506349 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature