Don’t know much about geography? Decision support for the evaluation of patients with suspected high consequence infectious diseases
EvalHCID is a clinical decision support system integrating outbreak intelligence, symptom onset, and epidemiologic risk factors to identify high consequence infectious diseases (HCIDs) (eg, Ebola). Tested among 20 emergency department (ED) providers, it significantly reduced assessment time, lowered misclassification, and scored "excellent" usability. EvalHCID may improve institutional preparedness and patient outcomes for emerging infectious disease threats.
Authors
- Erica S. Shenoy (ORCID: https://orcid.org/0000-0001-8086-1123)
- Eileen F. Searle (ORCID: https://orcid.org/0000-0003-0523-5928)
- Lindsay Germaine
- Jason Parente
- Chloe V. Green
- Jacob E. Lazarus (ORCID: https://orcid.org/0000-0001-9286-3548)
- Michelle S. Jerry
Institutions
- Harvard University (US)
- Massachusetts General Hospital (US)
- Mass General Brigham (US)
Publication Details
- Journal
- Antimicrobial Stewardship & Healthcare Epidemiology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1017/ash.2025.10038
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Infectious Diseases Society of America
- Centers for Disease Control and Prevention