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<journal-id journal-id-type="publisher">global-journal-of-computer-science-and-technology-c-software-data-engineering</journal-id>
<journal-title-group>
<journal-title>Global Journal of Computer Science and Technology - C: Software &amp; Data Engineering</journal-title>
</journal-title-group>
<issn publication-format="print">0975-4350</issn>
<issn publication-format="electronic">0975-4172</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
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<article-id pub-id-type="doi">10.34257/GJCSTC116034</article-id>
<article-id pub-id-type="publisher-id">116034</article-id>
<title-group>
<article-title>AI-Enhanced Cloud Data Systems for Healthcare</article-title>
<subtitle>AI-Driven Cloud Optimization for Healthcare Data</subtitle>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Thummarakoti</surname><given-names>Sairohith</given-names></name><xref ref-type="aff" rid="aff1" />
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<aff id="aff1">UNITED STATES</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-30">
<day>30</day>
<month>12</month>
<year>2025</year>
</pub-date>
<volume>25</volume>
<issue>C1</issue>
<fpage>21</fpage>
<lpage>32</lpage>
<abstract><p>AI data systems support Healthcare cloud computing through automated workflow operations. Our AI system presents four innovative devices for medical and research data: (1) a Data Cleaning Device, (2) a Data Optimization Device, (3) a Multi-Cloud Optimizer, and (4) a Data Logger. A detailed description includes their design process, the healthcare application pipeline for electronic health record cleaning, medical image storage, multi-cloud deployment capabilities, and secure audit functionality. The device connections are illustrated through architectural diagrams. Data quality rises while processing speed improves alongside cost reduction by adopting a Performance evaluation system compared to conventional information systems. The primary focus of our approach centres around innovative methods of data quality enhancement and storage system development alongside compliance requirements. Through our AI systems, we enhance healthcare data pipeline operations and establish guidelines for upcoming investi-gations within the field</p></abstract>
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<kwd>AI</kwd>
<kwd>healthcare</kwd>
<kwd>data cleaning device</kwd>
<kwd>data optimization device</kwd>
<kwd>multi-cloud optimizer</kwd>
<kwd>data logger.</kwd>
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<title>Full Text</title>
<p>AI data systems support Healthcare cloud computing through automated workflow operations. Our AI system presents four innovative devices for medical and research data: (1) a Data Cleaning Device, (2) a Data Optimization Device, (3) a Multi-Cloud Optimizer, and (4) a Data Logger. A detailed description includes their design process, the healthcare application pipeline for electronic health record cleaning, medical image storage, multi-cloud deployment capabilities, and secure audit functionality. The device connections are illustrated through architectural diagrams. Data quality rises while processing speed improves alongside cost reduction by adopting a Performance evaluation system compared to conventional information systems. The primary focus of our approach centres around innovative methods of data quality enhancement and storage system development alongside compliance requirements.</p>
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