Microsoft Dragon Copilot

Microsoft Dragon Copilot is an AI-powered clinical documentation assistant designed to streamline healthcare workflows by automatically generating clinical notes and related documentation from ambient conversation recordings. It integrates natural language AI, conversation transcription, and dictation technologies to enable clinicians to focus more on patient care while efficiently capturing detailed and accurate clinical information.

The app facilitates faster and more complete note creation by analyzing conversation transcripts to suggest important clinical details such as vital signs, family history, and medication data. It supports direct entry of over a dozen order types into electronic health records (EHR) systems like Epic, improving data accuracy and reducing manual input. Additionally, Dragon Copilot synthesizes diagnostic evidence from subjective symptoms and objective lab or imaging results, providing clinicians with comprehensive encounter summaries and patient-friendly after-visit documents.

Beyond note-taking, the app can automatically draft referral letters and consultation summaries for both patients and general practitioners by extracting key clinical information from recorded consultations. This feature helps ensure consistent and clear communication among care teams and patients. Microsoft Dragon Copilot also offers specialty-specific AI enhancements tailored to different medical fields, optimizing documentation quality according to clinician preferences.

For healthcare organizations and partners, Dragon Copilot integrates with Microsoft Fabric to leverage point-of-care data for improved research, patient engagement, and operational insights. The platform provides configurable settings for embedding within EHR systems, enabling features such as ambient microphone controls, sync-to-EHR functionality, and accessible sessions across devices.

In summary, Microsoft Dragon Copilot serves as an advanced AI tool to automate and enhance clinical documentation, improve workflow efficiency, reduce clinician cognitive load, and support accurate, data-rich patient records through seamless integration with healthcare technologies.

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Website: microsoft.com

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