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healthcare governance

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Healthcare governance on WindowsForum.com covers the policies, compliance frameworks, and data management practices that ensure patient information is handled securely and ethically in clinical AI deployments. Discussions focus on Microsoft's Dragon Copilot platform at HIMSS 2026, which embeds governance into ambient clinical AI by integrating Microsoft 365 context and a partner app ecosystem. Another thread examines a University of Oxford study on AI de-identification of electronic health records, comparing Azure services and GPT-4 for removing patient identifiers while highlighting hallucination risks. These sources emphasize the importance of governance in scaling AI tools across healthcare settings, balancing innovation with regulatory compliance and data privacy.
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    Dragon Copilot: Microsoft's Unified Clinical AI Platform at HIMSS 2026

    Microsoft’s move at HIMSS 2026 turned what started as an ambient documentation tool into a deliberate platform play: Dragon Copilot is no longer just a speech-to-text assistant for clinicians — it’s being positioned as a unified clinical AI platform that embeds Microsoft 365 context, opens a...
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    • clinical ai platform dragon copilot ehr integration healthcare governance
    • Replies: 0
    • Forum: Windows News
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    Dragon Copilot at HIMSS 2026: From Ambient Scribe to Agentic Clinical Assistant

    Microsoft’s pitch at HIMSS 2026 was simple and unapologetically ambitious: take the ambient documentation and speech‑recognition heritage of Dragon, fold it tightly into the Microsoft Copilot ecosystem, and move from passive transcription toward an agentic clinical assistant that can act...
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    • ambient clinical ai clinical ai platform dragon copilot ehr integration enterprise health it healthcare governance
    • Replies: 1
    • Forum: Windows News
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    Oxford Study Tests AI De‑Identification for EHRs: Azure Tops GPT‑4, Hallucination Risks

    University researchers in Oxford have published a peer-reviewed–style evaluation that tests whether automated tools — both specialist de‑identification software and large language models (LLMs) — can reliably remove patient identifiers from real, routine electronic health records (EHRs), and...
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    • clinical data deidentification ai ehr security healthcare governance
    • Replies: 0
    • Forum: Windows News
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