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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-1306</issn><issn pub-type="epub">3042-1306</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/thi.v1i1.17</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>Patient's length of stay‎, Operating room‎, Importance-performance analysis method, IPA method</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Analysis of importance-performance of scenarios for improving patient length of stay in the operating room</article-title><subtitle>Analysis of importance-performance of scenarios for improving patient length of stay in the operating room</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Mousavi</surname>
		<given-names>Seyedeh Raahil</given-names>
	</name>
	<aff>Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Sepehri</surname>
		<given-names>Mohammad Mehdi</given-names>
	</name>
	<aff>Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Najafi</surname>
		<given-names>Seyyed Esmaeil</given-names>
	</name>
	<aff>Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>04</month>
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>21</day>
        <month>04</month>
        <year>2024</year>
      </pub-date>
      <volume>1</volume>
      <issue>1</issue>
      <permissions>
        <copyright-statement>© 2024 REA Press</copyright-statement>
        <copyright-year>2024</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Analysis of importance-performance of scenarios for improving patient length of stay in the operating room</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			The objective of this study is to reduce the patient's length of stay in the operating room, consequently reducing costs, increasing the revenue of the operating room, and ultimately developing the hospital. We developed improvement scenarios by reviewing previous research and by interviewing operating room experts. A questionnaire based on the importance-performance analytical model was used for the scenarios investigation. The statistical population consisted of clinical and non-clinical staff in the operating room of a specialized hospital located in Tehran. After implementing the Importance-Performance Analysis (IPA) algorithm on the improvement scenarios, the IPA matrix and the weight of the scenarios were determined. Scenarios located in the weak area of the matrix need to be implementation more carefully for implementation. Additionally, scenarios with higher weights are more prioritized for implementation in the operating room. The results show scenarios involving resource changes (adding personnel to the department with the highest average waiting time), timely initiation of the first surgery in each shift, increasing the number of surgical beds, and changing the rules of arrival scheduling are more beneficial for implementation.
		</p>
		</abstract>
    </article-meta>
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