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  <doi_batch_id>aspg-18-3161-1792025496</doi_batch_id>
  <timestamp>20261015005136</timestamp>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>Journal of Intelligent Systems and Internet of Things</full_title>
    <abbrev_title>JISIoT</abbrev_title>
    <issn media_type="print">2769-786X</issn>
    <issn media_type="electronic">2690-6791</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <journal_volume>
     <volume>14</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>The Integration and Implementation of the Healthcare Internet of Things and Its Comprehensive Analysis</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Adilakshmamma</given_name>
      <surname>.T</surname>
      <affiliations>
       <institution>
        <institution_name>Associate Professor, Computer Science, Silicon City College, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Meharunnisa S.</given_name>
      <surname>P.</surname>
      <affiliations>
       <institution>
        <institution_name>Associate Professor, Electronics &amp; Instrumentation Engineering, Dayananda Sagar College of Engineering, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Anusha</given_name>
      <surname>Sreeram</surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor, Operations &amp; IT, ICFAI Business School (A Constituent of IFHE University), Hyderabad, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Rajat</given_name>
      <surname>Saini</surname>
      <affiliations>
       <institution>
        <institution_name>Centre of Research Impact and Outcome, Chitkara University, Rajpura- 140417, Punjab, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Maryanka</given_name>
      <surname></surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor, Department of Law, Symbiosis Law School, Noida-Symbiosis International (Deemed University), Pune, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Shikhar</given_name>
      <surname>Gupta</surname>
      <affiliations>
       <institution>
        <institution_name>Chitkara Centre for Research and Development, Chitkara University, Himachal Pradesh-174103, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The Healthcare Internet of Things (HIoT) is driving a paradigm shift in the healthcare business by providing safe, fast, and networked healthcare solutions. We examined the advantages, disadvantages, and potential future of the Internet of Things (IoT) in the medical industry. Scalability, accuracy, real-time monitoring, data security, and interoperability were among the top priorities. The study employed strict assessment criteria to compare the proposed HIoT technology to existing approaches. This article begins with an overview of the IoT in healthcare. This study compares and contrasts the proposed HIoT strategy with more conventional approaches. We applied both methodologies in this study, each with its own benefits and drawbacks. We evaluated the responses using the F1-score, recall, accuracy, and precision. The inquiry uncovered an interesting story. The proposed HIoT method outperformed traditional techniques in all assessment parameters. In terms of accuracy, the recommended solution outperformed &quot;Block chain Encryption&quot; (8.4) and &quot;Data Validation&quot; (7.9). Additionally, it received an 8.9 for real-time monitoring and an 8.8 for interoperability. Another benefit of the strategy was a reduction in medical errors. The high data accuracy score of 9.1 demonstrates this. The findings illustrate the potential transformation of healthcare delivery through the Internet of Things. According to the study, the proposed strategy might increase healthcare's efficacy, efficiency, and patient-centeredness. The Internet of Things has opened up exciting new opportunities in healthcare. These options may transform medical care and patient outcomes.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>241</first_page>
     <last_page>251</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3161</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/JISIoT.140119</doi>
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