<?xml version="1.0" encoding="UTF-8"?>
<doi_batch version="5.3.1" xmlns="http://www.crossref.org/schema/5.3.1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:ai="http://www.crossref.org/AccessIndicators.xsd" xsi:schemaLocation="http://www.crossref.org/schema/5.3.1 http://www.crossref.org/schema/deposit/crossref5.3.1.xsd">
 <head>
  <doi_batch_id>aspg-1-1697-1791417692</doi_batch_id>
  <timestamp>20261008000132</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
  </depositor>
  <registrant>American Scientific Publishing Group</registrant>
 </head>
 <body>
  <journal>
   <journal_metadata language="en">
    <full_title>American Journal of Business and Operations Research</full_title>
    <abbrev_title>AJBOR</abbrev_title>
    <issn media_type="print">2770-0216</issn>
    <issn media_type="electronic">2692-2967</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2021</year>
    </publication_date>
    <journal_volume>
     <volume>3</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Leveraging Business Intelligence and Operations Research for Enhanced Decision-Making in Healthcare</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Mahmoud M.</given_name>
      <surname>Ismail</surname>
      <affiliations>
       <institution>
        <institution_name>Faculty of computers and Informatics, Zagazig University, Zagazig, 44519, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Heba R.</given_name>
      <surname>Abdelhady</surname>
      <affiliations>
       <institution>
        <institution_name>Faculty of computers and Informatics, Zagazig University, Zagazig, 44519, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>This paper explores the potential of leveraging business intelligence (BI) and operations research (OR) techniques to enhance decision-making in healthcare organizations. We propose a novel BI framework that includes three main components: data collection and management, data analysis and reporting, and decision-making support. Our framework leverages existing BI tools and techniques, such as data mining and visualization, to provide healthcare organizations with a comprehensive and integrated view of their operations. The framework also integrates clinical data with financial and operational data to provide a more holistic view of the organization. Healthcare organizations face numerous challenges, including rising costs, changing regulations, and the need to improve patient outcomes. By leveraging the proposed framework, healthcare organizations can make data-driven decisions that optimize resource allocation, streamline processes, and improve patient care. The paper provides use cases of how BI and OR have been successfully applied in healthcare organizations and discusses the potential for future research and applications in this field. Ultimately, our framework highlights the importance of using data-driven approaches to improve decision-making in healthcare organizations and suggests that the integration of BI and OR techniques has significant potential to achieve this goal.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2021</year>
    </publication_date>
    <pages>
     <first_page>61</first_page>
     <last_page>69</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1697</item_number>
    </publisher_item>
    <ai:program name="AccessIndicators">
     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/AJBOR.030104</doi>
     <resource>https://www.americaspg.com/journal/1/article/1697</resource>
     <collection property="text-mining">
      <item>
       <resource mime_type="application/pdf">https://www.americaspg.com/storage/01681754297.pdf</resource>
      </item>
     </collection>
    </doi_data>
   </journal_article>
  </journal>
 </body>
</doi_batch>
