Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic.
J Am Med Inform Assoc
; 27(9): 1450-1455, 2020 07 01.
Article
in English
| MEDLINE | ID: covidwho-766656
ABSTRACT
The screening of healthcare workers for COVID-19 (coronavirus disease 2019) symptoms and exposures prior to every clinical shift is important for preventing nosocomial spread of infection but creates a major logistical challenge. To make the screening process simple and efficient, University of California, San Francisco Health designed and implemented a digital chatbot-based workflow. Within 1 week of forming a team, we conducted a product development sprint and deployed the digital screening process. In the first 2 months of use, over 270 000 digital screens have been conducted. This process has reduced wait times for employees entering our hospitals during shift changes, allowed for physical distancing at hospital entrances, prevented higher-risk individuals from coming to work, and provided our healthcare leaders with robust, real-time data for make staffing decisions.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Health Personnel
/
Coronavirus Infections
/
Clinical Laboratory Techniques
/
Mobile Applications
/
Betacoronavirus
Type of study:
Case report
/
Diagnostic study
/
Observational study
/
Prognostic study
Limits:
Humans
Country/Region as subject:
North America
Language:
English
Journal:
J Am Med Inform Assoc
Journal subject:
Medical Informatics
Year:
2020
Document Type:
Article
Affiliation country:
Jamia
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