Artificial intelligence terms

A basic understanding of artificial intelligence terminology is beneficial as you work with Dragon Copilot's features and capabilities. Let's look at some important terms.

• Artificial intelligence (AI) 
  Artificial intelligence (AI) is a technology that allows machines to perform tasks that typically require human intelligence; for example: make choices, translate languages, recognize patterns, and answer complex questions. It works by looking at a lot of information and following a set of instructions called algorithms to learn how to do these tasks. 

  AI is like having a smart assistant that can help with various tasks by using its ability to learn, understand, recognize, and decide.

• Responsible AI 
  Responsible AI is a guiding principle that encourages humans to design safe and equitable systems across all levels, including machine learning models, software applications, user interfaces, and access protocols. 

  A big part of responsible AI is ensuring that AI is used ethically and responsibly, and that it benefits everyone equally.

  Microsoft ensures all our AI solutions adhere to Microsoft's responsible AI practices.

• Conversational AI 
  Conversational AI is a type of technology that helps computers understand, interpret, and respond to what people say. Examples include virtual assistants, chatbots, and other programs that can have conversations like humans.

  Dragon Copilot is trained on billions of clinical narrative minutes and millions of clinical conversations so it can recognize the speech from clinical conversations and uses this input to inform the generative AI output it produces.

• Generative AI 
  Generative AI is a category of artificial intelligence capable of creating new content, including text and images, by analyzing and learning from existing data patterns.

  Dragon Copilot uses fine-tuned generative AI to produce accurate documentation efficiently and consistently. After clinician-patient conversations are captured, the generative AI generates a clinical note. It can also generate referral letters and after-visit summaries, or even provide assistance to help you produce better clinical notes.

• Ambient AI
  Ambient technology integrates into your workflow in a way that makes it seem like it isn't even there.

  In the case of Dragon Copilot, the app unobtrusively, and following privacy and security standards, listens and captures the clinician-patient conversation. This functionality allows the AI to operate effectively, enabling you to focus entirely on patient care. Dragon Copilot transforms these conversations into high-quality, comprehensive, specialty-specific notes.

• Copilots
  A copilot is an AI-powered digital assistant that helps with tasks like writing, coding, summarizing, and searching in various applications. Copilots are able to comprehend natural human language and provide answers, content, or take action as you work within different computer programs.

  Copilots are built with Responsible AI guardrails to ensure they are safe and secure.

  Just like a copilot in an airplane, it’s a tool that can help you be more productive and efficient, but it’s not in charge - you are.

• Prompts
  A prompt is an instruction entered into a system in language, images or code that tells the AI what task to perform.

  Prompts can be integrated into the product to achieve the desired outcomes. For instance, in Dragon Copilot, verbalization best practices and specialty-specific models shape software prompts, enabling the AI to accurately determine which content belongs in each section of the summary.
  
  Learn about the basics of prompts in Dragon Copilot

Microsoft is built on a foundation of trust.

Microsoft is committed to protecting data, using an approach to AI that is built on a foundation of privacy across all AI solutions.

• Leverages Microsoft Secure Future Initiative to support the highest standards of security, privacy, and compliance.

• Aligned with Microsoft's Responsible AI practices and uses healthcare-specific clinical, chat, and compliance safeguards for accurate and safe AI output.

• Data is grounded in privacy principles and backed by transparent policies and rigorous protections.

We look forward to continuing to play a leading role in fostering innovation with generative AI, and empowering healthcare providers and partners across health and life sciences industries with leading-edge and responsible AI technologies that contribute to better experiences and outcomes in healthcare.