Development and implementation of a clinical decision support system tool for the evaluation of suspected monkeypox infection. (29th August 2022)

• Record Type: Journal Article
• Authors: Albin, John S; Lazarus, Jacob E; Hysell, Kristen M; Rubins, David M; Germaine, Lindsay; Dugdale, Caitlin M; Heller, Howard M; Hohmann, Elizabeth L; Baugh, Joshua J; Shenoy, Erica S
• Is Part Of: Journal of the American Medical Informatics Association. Volume 29:Number 12(2022)
• Page Start: 2124
• Page End: 2127
• Publication Date: 2022-08-29
• Subjects: monkeypox -- person under investigation -- PUI -- high-consequence infectious disease -- HCID -- clinical decision support systems -- CDSS; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1093/jamia/ocac151
• Languages: English
• ISSNs: 1067-5027

Abstract

Abstract: Monkeypox virus was historically rare outside of West and Central Africa until the current 2022 global outbreak, which has required clinicians to be alert to identify individuals with possible monkeypox, institute isolation, and take appropriate next steps in evaluation and management. Clinical decision support systems (CDSS), which have been shown to improve adherence to clinical guidelines, can support frontline clinicians in applying the most current evaluation and management guidance in the setting of an emerging infectious disease outbreak when those guidelines are evolving over time. Here, we describe the rapid development and implementation of a CDSS tool embedded in the electronic health record to guide frontline clinicians in the diagnostic evaluation of monkeypox infection and triage patients with potential monkeypox infection to individualized infectious disease physician review. We also present data on the initial performance of this tool in a large integrated healthcare system.