Investigating the Components of Virtual Emergency Department.

The prediction of the demography of Spain shows that Spain will experience an aging population soon. Aging is a condition of chronic disease resulting in overcrowding Emergency Department. Despite chronic diseases, Covid-19 became a serious issue for emergency Department staff and health care provid...

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Publicado en:Studies in Health Technology & Informatics Vol. 291; pp. 118 - 131
Autores principales: SHOJAEI, Elham, LUQUE, Emilio, REXACHS, Dolores
Formato: algorithm research tables/charts Journal Article
Publicado: Sage Publications Inc. 2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 2022
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      pub: Sage Publications Inc.
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        atl: Investigating the Components of Virtual Emergency Department.
      aug:
        au:
          SHOJAEI, Elham
          LUQUE, Emilio
          REXACHS, Dolores
        affil: Computer Architecture & Operating System, Universitat Autonoma de Barcelona
      sug:
        subj:
          Emergency Service
          Health Care Delivery
          Information Technology
          Telemedicine
          Human
          Descriptive Statistics
          Data Analysis Software
          Confidence Intervals
          Machine Learning
          Artificial Intelligence
          Algorithms
          Triage
          Logistic Regression
      ab: The prediction of the demography of Spain shows that Spain will experience an aging population soon. Aging is a condition of chronic disease resulting in overcrowding Emergency Department. Despite chronic diseases, Covid-19 became a serious issue for emergency Department staff and health care providers. All of these matters emphasized the importance of the Virtual Emergency Department which can provide faster and more affordable medical services while everyone can keep the social distance as much as possible. In this chapter, we investigated the role of IT in the healthcare system and the possible suggested solutions. We have studied the existing telemedicine, e-health, machine learning algorithms and in the end, their combination to built an integrated virtual emergency department to cover all the aspects. We have proposed a model for this integrated model and studied the possibility of success in each step including admission, triage, diagnoses, and clinical advice based on literature.
      pubtype: Academic Journal
      doctype:
        algorithm
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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