Work

Validation of electronic health record data to identify hospital-associated Clostridioides difficile infections for retrospective research

Year: 2024

Type: article

Abstract: infection (CDI) research relies upon accurate identification of cases when using electronic health record (EHR) data. We developed and validated a multi-component algorithm to identify hospital-associated CDI using EHR data and determined that the tandem of CDI-specific treatment and laboratory testing has 97% accuracy in identifying HA-CDI cases.

Source: Infection Control and Hospital Epidemiology

DOI: 10.1017/ice.2024.140

Authors: Michael J. Ray, Kathleen L. Lacanilao, Maela Robyne Lazaro, Luke C. Strnad, Jon P. Furuno, Kelly Royster, Jessina C. McGregor

Institutions: Portland State University, Oregon State University, Oregon Health & Science University, Legacy Health

Language: English

Topic: Clostridium difficile and Clostridium perfringens research

Subfield: Infectious Diseases

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,450

Funders: Oregon Health and Science University, National Institutes of Health, National Institute of General Medical Sciences, National Center for Advancing Translational Sciences

Awards: G1101846420, G6644803334, EXITO: Enhancing Cross-disciplinary Infrastructure and Training at Oregon, G9000062576

OpenAlex ID: W4403474024

FWCI: 0.948

Cites: 9

Cited by: 3

Related to: 10