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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="nursing" lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">JOHS</journal-id>
      <journal-id journal-id-type="nlm-ta">Journ of Health Scien</journal-id>
      <journal-title-group>
        <journal-title>Journal of HealthCare Sciences</journal-title>
        <abbrev-journal-title abbrev-type="pubmed">Journ of Health Scien</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2231-2196</issn>
      <issn pub-type="opub">0975-5241</issn>
      <publisher>
        <publisher-name>Radiance Research Academy</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">374</article-id>
      <article-id pub-id-type="doi">http://dx.doi.org/10.52533/JOHS.2024.41253</article-id>
      <article-id pub-id-type="doi-url"/>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Nursing</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Strategies for Managing Overcrowding in Emergency Departments&#13;
</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Tohary</surname>
            <given-names>Abdu Dahesh</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Alharthi</surname>
            <given-names>Sultan Owaid</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Asiri</surname>
            <given-names>Nawal Saeed</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Majrashi</surname>
            <given-names>Fatim Yahya</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Khormi</surname>
            <given-names>Rawan Abdullah</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Alhomrani</surname>
            <given-names>Mohamed Ahmed</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date pub-type="ppub">
        <day>31</day>
        <month>12</month>
        <year>2024</year>
      </pub-date>
      <volume>4</volume>
      <issue>12</issue>
      <fpage>1038</fpage>
      <lpage>1043</lpage>
      <permissions>
        <copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement>
        <copyright-year>2009</copyright-year>
        <license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>Emergency department (ED) overcrowding remains a critical global challenge, affecting patient safety, staff efficiency, and healthcare delivery. Key factors contributing to overcrowding include increasing patient visits, prolonged length of stay, and limited inpatient capacity. Innovative strategies are required to address these issues and optimize ED operations. Advances in patient flow and triage systems, resource allocation, and technology integration offer promising solutions. Streamlined triage systems, such as split-flow models and automated prioritization tools, improve efficiency by categorizing patients based on acuity and care requirements. These approaches significantly reduce waiting times and enhance throughput. Resource optimization strategies, including dynamic staffing models and task-shifting, ensure that healthcare professionals are allocated effectively, minimizing delays and preventing burnout. Predictive analytics further support these efforts by forecasting surges and enabling preemptive resource planning. Technology-driven solutions, such as telemedicine and artificial intelligence, have revolutionized ED operations. Virtual consultations reduce unnecessary visits, while automated triage systems ensure timely interventions. Real-time monitoring and location systems enhance workflow efficiency, enabling faster decision-making and improved patient tracking. While these innovations demonstrate significant potential, challenges such as financial constraints and workforce adaptation must be addressed for successful implementation. Investments in training, infrastructure, and stakeholder collaboration are critical to maximizing these advancements. By integrating these strategies, healthcare systems can mitigate overcrowding, improve patient outcomes, and build resilience in emergency care.&#13;
</p>
      </abstract>
      <kwd-group>
        <kwd>Emergency department overcrowding</kwd>
        <kwd> triage systems</kwd>
        <kwd> resource optimization</kwd>
        <kwd> predictive analytics</kwd>
        <kwd> telemedicine</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>