<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-information-and-optimization-sciences</journal-id>
      <journal-title-group>
        <journal-title>Journal of Information and Optimization Sciences</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0103</issn>
      <issn publication-format="print">0252-2667</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JIOS-1904</article-id>
      <title-group>
        <article-title>Revolutionizing medical research with statistical analysis and management information systems integration</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Bhosale</surname>
            <given-names>Trupti S.</given-names>
          </name>
          <aff>Directorate of Research, Krishna Vishwa Vidyapeeth (Deemed to be University), Karad, Maharashtra, 415539, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Katkoori</surname>
            <given-names>Arun Kumar</given-names>
          </name>
          <aff>Department of Electronics and Communication Engineering, CVR College of Engineering, Hyderabad, Telangana, 501510, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Kumar</surname>
            <given-names>R. G. Hemanth</given-names>
          </name>
          <aff>Department of Forensic Medicine &amp; Toxicology, Krishna Vishwa Vidyapeeth (Deemed to be University), Krishna Institute of Medical Sciences, Karad, Maharashtra, 415539, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Dhage</surname>
            <given-names>Prashant</given-names>
          </name>
          <aff>Symbiosis Law School, Nagpur Campus, Symbiosis International (Deemed University), Pune, Maharashtra, 440008, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Thorat</surname>
            <given-names>M. M.</given-names>
          </name>
          <aff>Department of Anatomy, Krishna Vishwa Vidyapeeth (Deemed to be University), Krishna Institute of Medical Sciences, Karad, Maharashtra, 415539, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Deshpande</surname>
            <given-names>Yogesh D.</given-names>
          </name>
          <aff>Department of Information Technology, Vishwakarma Institute of Information Technology, Pune, Maharashtra, 411048, India</aff>
        </contrib>
      </contrib-group>
      <volume>46</volume>
      <issue>4-B</issue>
      <fpage>1211</fpage>
      <lpage>1220</lpage>
      <pub-date date-type="pub">
        <day>31</day>
        <month>05</month>
        <year>2025</year>
      </pub-date>
      <abstract>
        <p>Statistical analysis and strong management information systems (MIS) can work together to change the way medical research is done in a field that is changing quickly. This outline explains how this merging has changed the way medical study is done and the results that are found. By using statistical analysis, researchers can get useful information from large datasets. This lets people make decisions based on facts and makes results more reliable and repeatable. Adding MIS makes it easier to collect, store, and get data. This makes it easier for researchers from different fields to work together and makes better use of resources. By working together, statistical analysis and MIS integration make it easier for researchers to work with large, complicated healthcare datasets. Researchers can also find secret trends, find new biomarkers, and speed up the process of medical finding by using advanced analytics methods like machine learning and prediction modelling. This piece stresses how important it is for medical research institutions to accept this paradigm shift, pointing out the chances to improve patient results, speed up drug development, and make precision medicine more useful. Combining statistical analysis and MIS integration is a key part of new ideas and progress in medical study as the era of data-driven healthcare moves forward.</p>
      </abstract>
      <kwd-group>
        <kwd>Medical research</kwd>
        <kwd>Statistical analysis</kwd>
        <kwd>Management information systems (MIS)</kwd>
        <kwd>Integration</kwd>
        <kwd>Data-driven</kwd>
        <kwd>Precision medicine</kwd>
        <kwd>Innovation</kwd>
        <kwd>Healthcare data</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
