﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Academy of Medical Sciences of I.R. Iran</PublisherName>
      <JournalTitle>Archives of Iranian Medicine</JournalTitle>
      <Issn>1029-2977</Issn>
      <Volume>23</Volume>
      <Issue>8</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2020</Year>
        <Month>08</Month>
        <DAY>01</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Telemedicine and Computer-Based Technologies during Coronavirus Disease 2019 Infection; A Chance to Educate and Diagnose</ArticleTitle>
    <FirstPage>561</FirstPage>
    <LastPage>563</LastPage>
    <ELocationID EIdType="doi">10.34172/aim.2020.60</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Reza</FirstName>
        <LastName>Jafarzadeh-Esfehani</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-9177-994X</Identifier>
      </Author>
      <Author>
        <FirstName>Mohsen</FirstName>
        <LastName>Mirzaei Fard</LastName>
      </Author>
      <Author>
        <FirstName>Farzaneh</FirstName>
        <LastName>Habibi Hatam-Ghale</LastName>
      </Author>
      <Author>
        <FirstName>Alireza</FirstName>
        <LastName>Rezaei Kalat</LastName>
      </Author>
      <Author>
        <FirstName>Amir</FirstName>
        <LastName>Fathi</LastName>
      </Author>
      <Author>
        <FirstName>Mohammad</FirstName>
        <LastName>Shariati</LastName>
      </Author>
      <Author>
        <FirstName>Ariane</FirstName>
        <LastName>Sadr-Nabavi</LastName>
      </Author>
      <Author>
        <FirstName>Rahele</FirstName>
        <LastName>Miri</LastName>
      </Author>
      <Author>
        <FirstName>Hamid Reza</FirstName>
        <LastName>Bidkhori</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-0204-0351</Identifier>
      </Author>
      <Author>
        <FirstName>Mohammad Hassan</FirstName>
        <LastName>Aelami</LastName>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/aim.2020.60</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2020</Year>
        <Month>04</Month>
        <Day>30</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2020</Year>
        <Month>06</Month>
        <Day>02</Day>
      </PubDate>
    </History>
    <Abstract>Coronavirus disease 2019 (COVID-19) is now of global concern due to its rapid dissemination across the globe. The rapid spread of this viral infection, along with many of its unknown aspects, has posed new challenges to the health care systems. The main challenging effects of COVID-19 are rapid dissemination through close contact and varying clinical severity among different individuals. Furthermore, the medical staff in endemic areas are becoming exhausted and deal with a considerable level of job burnout, which can negatively affect their medical decision making. Also, due to the variable pulmonary manifestations of COVID-19, some physicians may misdiagnose patients. To overcome these issues, we proposed a web-based software to aid physicians in detecting possible COVID-19 cases through online consultation with different specialists and educate the not-well experienced physicians. Our results demonstrated that this software could improve the diagnostic rate for not-well experienced physicians.</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Coronavirus</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Pandemics</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Telemedicine</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>