Dragon Copilot

Dragon Copilot is the new healthcare AI tool which is being offered as part of Microsoft Cloud for Healthcare.

Dragon Copilot

Dragon Copilot Latest News 

Recently, Microsoft has introduced a new voice-activated AI assistant called Dragon Copilot.

About Dragon Copilot

  • It is the new healthcare AI tool which is being offered as part of Microsoft Cloud for Healthcare.
  • It is designed to help doctors and healthcare professionals transcribe clinical notes and draft paperwork as well as quickly search for information from medical sources.

Features of Dragon Copilot

  • It harnesses the natural language voice dictation and ambient listening technology developed by AI voice company Nuance.
  • These capabilities have been further fine-tuned using generative AI and adapted to incorporate healthcare safeguards.
  • It is built on top of existing tools such as Dragon Medical One (DMO) and DAX rolled out by speech recognition company Nuance Communications.
  • It can be used to draft memos and notes in a personalized style and format.
  • Besides voice-to-text transcription, the Dragon Copilot user interface also allows users to submit prompts or use templates to create AI-generated notes.
  • Apart from documentation work, the AI assistant allows clinicians to search for general-purpose medical information from trusted sources.
  • It can also be used to automate key tasks such as conversational orders, note and clinical evidence summaries, referral letters, and after-visit summaries, in one centralised workspace,
  • It is accessible through a mobile app, browser or desktop, and it integrates directly with several different electronic health records.

Dragon Copilot FAQs

Q1: What is Microsoft Dragon Copilot?

Ans: It is the new healthcare AI tool which is being offered as part of Microsoft Cloud for Healthcare. As part of the Microsoft Cloud for Healthcare, Dragon Copilot offers secure architecture to ensure privacy and compliance. 

Q2: What is Generative AI?

Ans: Generative AI works by using a Machine Learning model to learn the patterns and relationships in a dataset of human-created content.

Source: IE

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