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  <title>Enable Workflows with Oracle Health Data Intelligence</title>
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        <h1>Enable Workflows with Oracle Health Data Intelligence</h1>
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    <p class="copy-primary">Connect clinical data. Activate intelligence.</p>
    <p class="copy-secondary">Oracle Health Data Intelligence (HDI) brings clinical data, semantic intelligence, and agentic workflows together so healthcare teams can move from fragmented data to actionable clinical and operational intelligence.</p>

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        <a id="contact-link" class="button primary" href="https://www.oracle.com/health/population-health/" target="_blank" rel="noopener noreferrer">Contact Oracle Health</a>
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        <h2 id="overview-title">HDI Overview</h2>
        <p>Explore guided capabilities across clinical workflow intelligence, cohorting and analytics, ontology mapping, care gap identification, care coordination, patient-level insight generation, and research.</p>
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    <section class="capabilities" aria-labelledby="capabilities-title">
      <h2 id="capabilities-title">Capabilities</h2>
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          <h3>Semantic Intelligence</h3>
          <p>Use ontology-aware data services to resolve clinical terms, codes, and concepts across connected health data sources.</p>
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          <h3>Cohorting &amp; Analytics</h3>
          <p>Ask population-level clinical questions in natural language, such as identifying uncontrolled diabetes cohorts or surfacing population trends.</p>
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          <h3>Care Gap &amp; Quality Workflows</h3>
          <p>Identify missing therapies, overdue labs, open care gaps, and quality opportunities for human review before downstream action.</p>
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          <h3>Care Coordination</h3>
          <p>Assemble timelines, medication history, open referrals, active tasks, interaction risks, and care gaps for care teams.</p>
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          <h3>Patient-Level Insight</h3>
          <p>Generate structured, traceable patient-level insights from connected clinical data and domain-specific agents.</p>
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          <h3>Ontology Mapping</h3>
          <p>Map FHIR, ICD-10, LOINC, SNOMED CT, RxNorm, and related source data into canonical ontology contexts.</p>
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          <h3>Research</h3>
          <p>Explore connected clinical data for research discovery, cohort feasibility, study planning, and evidence generation workflows.</p>
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        <h2 id="disclaimer-title">Disclaimer</h2>
        <p>Oracle is not responsible for outputs or other content generated by third-party products accessed through or made available by Oracle Health Data Intelligence Connector’s Model Context Protocol (MCP) integration layer. Oracle disclaims any and all liability arising from use of third-party products accessed through Oracle Health Data Intelligence Connector, and Customer acknowledges that such use involves interacting with the applicable third party, not Oracle. Oracle does not endorse any third-party products accessed through Oracle Health Data Intelligence Connector or review third-party content for compliance with applicable laws and regulations, including medical device laws.</p>
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