TY - JOUR
T1 - Managing Pandemics with Health Informatics
T2 - Successes and Challenges
AU - Basit, Mujeeb A.
AU - Lehmann, Christoph U.
AU - Medford, Richard J.
N1 - Publisher Copyright:
IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.
PY - 2021/8/1
Y1 - 2021/8/1
N2 - INTRODUCTION: The novel COVID-19 pandemic struck the world unprepared. This keynote outlines challenges and successes using data to inform providers, government officials, hospitals, and patients in a pandemic. METHODS: The authors outline the data required to manage a novel pandemic including their potential uses by governments, public health organizations, and individuals. RESULTS: An extensive discussion on data quality and on obstacles to collecting data is followed by examples of successes in clinical care, contact tracing, and forecasting. Generic local forecast model development is reviewed followed by ethical consideration around pandemic data. We leave the reader with thoughts on the next inevitable outbreak and lessons learned from the COVID-19 pandemic. CONCLUSION: COVID-19 must be a lesson for the future to direct us to better planning and preparing to manage the next pandemic with health informatics.
AB - INTRODUCTION: The novel COVID-19 pandemic struck the world unprepared. This keynote outlines challenges and successes using data to inform providers, government officials, hospitals, and patients in a pandemic. METHODS: The authors outline the data required to manage a novel pandemic including their potential uses by governments, public health organizations, and individuals. RESULTS: An extensive discussion on data quality and on obstacles to collecting data is followed by examples of successes in clinical care, contact tracing, and forecasting. Generic local forecast model development is reviewed followed by ethical consideration around pandemic data. We leave the reader with thoughts on the next inevitable outbreak and lessons learned from the COVID-19 pandemic. CONCLUSION: COVID-19 must be a lesson for the future to direct us to better planning and preparing to manage the next pandemic with health informatics.
UR - http://www.scopus.com/inward/record.url?scp=85113760581&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85113760581&partnerID=8YFLogxK
U2 - 10.1055/s-0041-1726478
DO - 10.1055/s-0041-1726478
M3 - Article
C2 - 33882594
AN - SCOPUS:85113760581
SN - 0943-4747
VL - 30
SP - 17
EP - 25
JO - Yearbook of medical informatics
JF - Yearbook of medical informatics
IS - 1
ER -