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Microsoft Dragon Copilot Saves 3–5 Min/Consult

Manchester clinicians tested Microsoft Dragon Copilot, an ambient voice AI that transcribes and populates electronic patient records. Trials show 3-5 minutes saved per consultation, reduced admin, improved clinician presence, integrated EPR workflow, and potential to scale across hospitals.

An AI-driven ambient voice assistant is being piloted across Manchester University NHS Foundation Trust. The tool captures consultations, transcribes them, and populates electronic patient records automatically.

Main feature and impact

Dragon Copilot uses ambient voice capture to record clinical consultations without active dictation. It transcribes, structures, and inserts notes into the trust EPR, reducing manual entry. Early trial results show clinicians save minutes per consultation, enabling higher throughput and more focused patient interaction. Integration with the existing EPR reduced clicks and duplication across previously fragmented record systems.

Practical implications

Clinicians report three to five minutes saved per patient on average, increasing clinic capacity over weeks. The tool drafts letters and clinical notes to clinician preferences, cutting first-draft work and administrative burden. For large trusts, scaled adoption could translate to tens of thousands of additional patient episodes annually. Implementation requires workflow alignment, data governance, and customization to clinician templates.
“I’d say that it saves me an average of maybe three to five minutes per patient,”
Closing: The pilot indicates ambient AI can shift clinician time from documentation to direct care. Next steps are careful scaling, governance, and measuring clinical accuracy and safety.

Key points from the article:

  • AI transcribes consultations and auto-populates electronic patient records.
  • Average savings reported: three to five minutes per patient.
  • Enables clinicians to focus on patients rather than note-taking.
  • Integrates with trust EPR, reducing duplicate data entry and clicks.
  • Pilot suggests potential to scale and increase patient throughput significantly.
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