• Mujeeb A Basit, Christoph U Lehmann, and Richard J Medford.
• Clinical Informatics Center, UT Southwestern, Medical Center, Dallas, TX, USA.
• Yearb Med Inform. 2021 Aug 1; 30 (1): 17-25.

IntroductionThe 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.MethodsThe authors outline the data required to manage a novel pandemic including their potential uses by governments, public health organizations, and individuals.ResultsAn 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.ConclusionCOVID-19 must be a lesson for the future to direct us to better planning and preparing to manage the next pandemic with health informatics.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/4.0/).

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