z-logo
open-access-imgOpen Access
Implementation of a digital chatbot to screen health system employees during the COVID-19 pandemic
Author(s) -
Timothy J. Judson,
Anobel Y. Odisho,
Jerry Young,
Olivia Bigazzi,
David Steuer,
Ralph Gonzales,
Aaron Neinstein
Publication year - 2020
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1093/jamia/ocaa130
Subject(s) - chatbot , pandemic , covid-19 , digital health , computer science , telemedicine , medicine , medical emergency , world wide web , virology , health care , political science , infectious disease (medical specialty) , disease , pathology , outbreak , law
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom