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When past is not a prologue: Adapting informatics practice during a pandemic.
Kannampallil, Thomas G; Foraker, Randi E; Lai, Albert M; Woeltje, Keith F; Payne, Philip R O.
  • Kannampallil TG; Institute for Informatics, Washington University School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Foraker RE; Department of Anesthesiology, Washington University School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Lai AM; Institute for Informatics, Washington University School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Woeltje KF; Department of Medicine, Washington University School of Medicine, Washington University in St. Louis, Missouri, USA.
  • Payne PRO; Institute for Informatics, Washington University School of Medicine, Washington University in St. Louis, St. Louis, Missouri, USA.
J Am Med Inform Assoc ; 27(7): 1142-1146, 2020 07 01.
Article in English | MEDLINE | ID: covidwho-600829
ABSTRACT
Data and information technology are key to every aspect of our response to the current coronavirus disease 2019 (COVID-19) pandemic-including the diagnosis of patients and delivery of care, the development of predictive models of disease spread, and the management of personnel and equipment. The increasing engagement of informaticians at the forefront of these efforts has been a fundamental shift, from an academic to an operational role. However, the past history of informatics as a scientific domain and an area of applied practice provides little guidance or prologue for the incredible challenges that we are now tasked with performing. Building on our recent experiences, we present 4 critical lessons learned that have helped shape our scalable, data-driven response to COVID-19. We describe each of these lessons within the context of specific solutions and strategies we applied in addressing the challenges that we faced.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Medical Informatics / Coronavirus Infections / Electronic Health Records / Pandemics / Betacoronavirus Type of study: Observational study / Prognostic study / Qualitative research Limits: Humans Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: Jamia

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Medical Informatics / Coronavirus Infections / Electronic Health Records / Pandemics / Betacoronavirus Type of study: Observational study / Prognostic study / Qualitative research Limits: Humans Language: English Journal: J Am Med Inform Assoc Journal subject: Medical Informatics Year: 2020 Document Type: Article Affiliation country: Jamia