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The Utilization of Health Informatics Interventions in the COVID-19 Pandemic: A Scoping Review.
Joseph, Amanda L; Monkman, Helen; Kushniruk, Andre W; Borycki, Elizabeth M.
  • Joseph AL; School of Health Information Science, University of Victoria, Canada.
  • Monkman H; School of Health Information Science, University of Victoria, Canada.
  • Kushniruk AW; School of Health Information Science, University of Victoria, Canada.
  • Borycki EM; School of Health Information Science, University of Victoria, Canada.
Stud Health Technol Inform ; 295: 163-166, 2022 Jun 29.
Artículo en Inglés | MEDLINE | ID: covidwho-1924024
ABSTRACT
On March 11, 2020, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the highly infectious virus that causes coronavirus disease (COVID-19), was characterized by the World Health Organization (WHO) as a global pandemic [1,2]. Due to its highly contagious nature, COVID-19 has catalyzed the introduction of non-pharmaceutical interventions such as social distancing and quarantine measures [6]. Thus, the pandemic has shifted society to become reliant on healthcare technologies. The objective of this scoping review is to establish what health informatics interventions have been applied, validated and tested globally during the COVID-19 pandemic. The findings demonstrated a range of 12 types of health informatics interventions with various global applications and use. As evidenced by the intervention heterogeneity, the necessity to adopt a global cohesive strategy to improve human safety through the utilization of smart, efficient, and communicable technologies is vital.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Informática Médica / COVID-19 Tipo de estudio: Estudio experimental / Estudio observacional / Estudio pronóstico / Revisiones Límite: Humanos Idioma: Inglés Revista: Stud Health Technol Inform Asunto de la revista: Informática Médica / Investigación sobre Servicios de Salud Año: 2022 Tipo del documento: Artículo País de afiliación: SHTI220687

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Informática Médica / COVID-19 Tipo de estudio: Estudio experimental / Estudio observacional / Estudio pronóstico / Revisiones Límite: Humanos Idioma: Inglés Revista: Stud Health Technol Inform Asunto de la revista: Informática Médica / Investigación sobre Servicios de Salud Año: 2022 Tipo del documento: Artículo País de afiliación: SHTI220687