Copilot Health

What is Copilot Health?

Copilot Health is a separate, secure space within Microsoft Copilot that helps make sense of a person’s health information and provides personalized health insights. Its core purpose is to turn health records, wearable data, and health history into a coherent picture users can use to prepare for conversations with their clinician.

Copilot Health does not replace a doctor. Instead, it is designed to help users arrive prepared—understanding what their data may suggest and which questions to ask—so the time they have with a clinician can be more productive.

Key Features

• Dedicated “Copilot Health” workspace separate from general Copilot: Conversations and data are isolated from general Copilot and managed under additional access, privacy, and safety controls.
• Personal health profile from multiple sources: Compiles activity levels, sleep patterns, vital signs, and trends from wearable devices, plus health records and medical history into one place.
• Wearable data ingestion from multiple providers: Includes trends from over 50 wearable devices through Apple Health, Oura, Fitbit, and more (as stated).
• Health records ingestion via HealthEx: Pulls data from over 50,000 U.S. hospitals and provider organizations, including visit summaries, medication lists, and test results.
• Comprehensive lab test results support via Function: Uses lab test results from Function (as described on the page).
• AI-driven pattern understanding for actionable insights: Applies increasingly sophisticated AI to surface patterns across your data and provide insights framed as something users can act on.
• Citations and source linking in answers: Responses can include clear citations with easy links to source material from credible health organizations across 50 countries; answer content is supported by an approach verified by a clinical team using principles associated with the National Academy of Medicine.
• Expert-written answer cards from Harvard Health: In addition to citations, the page states there are expert-written answer cards from Harvard Health.
• Clinician search using real-time U.S. provider directories: Helps users find clinicians by specialty, location, languages spoken, and insurance coverage.
• Controls for privacy and user data: Data is protected with encryption at rest and in transit; users can manage and delete their information, disconnect connectors (electronic health records or wearables) instantly, and the page states the information is not used for model training.

How to Use Copilot Health

To get started, join the phased rollout by opening the waitlist to be part of the early community shaping the experience. Once available to you, use the Copilot Health space to connect relevant health sources (such as electronic health records or wearables), then review how Copilot Health organizes your health information into a coherent profile.

From there, ask health-related questions in the Copilot Health space. Copilot Health’s responses are intended to be more personalized by drawing on your connected data and may include citations and links to sources and expert answer cards.

Use Cases

• Preparing for a clinician visit: After connecting recent records and wearable trends, review personalized insights to identify what questions you want to ask your doctor and to provide context for symptoms or changes over time.
• Interpreting test results you don’t understand: Use the Copilot Health space to get a narrative explanation that connects test results with other available context (such as history or trends), rather than treating results in isolation.
• Connecting wearable trends to possible explanations: If you notice a pattern like reduced sleep or changes in activity, ask Copilot Health to help show how the pattern may relate to other information you’ve provided.
• Exploring next steps with cited information: When you research a health question, rely on responses that include citations and easy links to source material, with expert-written answer cards from Harvard Health (as described).
• Finding appropriate care based on location and coverage: Search for clinicians using real-time U.S. provider directories, filtering by specialty, location, languages spoken, and insurance coverage.

FAQ

• Does Copilot Health replace a doctor?
  No. The page states Copilot Health does not replace your doctor; it is meant to make time with your clinician count more by helping you arrive prepared.

• What data does Copilot Health use?
  It brings together health records (via HealthEx), wearable trends from over 50 wearable devices (including Apple Health, Oura, and Fitbit), and health history into a dedicated profile. It also uses comprehensive lab test results from Function (as stated).

• Is Copilot Health separate from regular Copilot?
  Yes. The page says Copilot Health is a separate, secure space, with conversations and data isolated from general Copilot and governed by additional access, privacy, and safety controls.

• Can I disconnect or delete my health data?
  Yes. The page states you can manage and delete your information and can disconnect connectors to health data sources (including electronic health records or wearables) instantaneously at any time.

• How does Copilot Health handle sources and reliability?
  According to the page, information is elevated from credible health organizations across 50 countries, verified by a clinical team using principles associated with the National Academy of Medicine. Responses may include citations with links to source material, and expert-written answer cards from Harvard Health.

Alternatives

• General-purpose AI chat with personal health data guidance: Users may use general chat tools to ask questions about symptoms or test results, but the workflow may be less focused on organizing personal records into a dedicated, isolated health workspace.
• Personal health record (PHR) platforms: Services that consolidate labs, visit summaries, and device data can help users keep their records in one place, but may not provide the same AI-generated, cited narrative explanations in a clinician-prep workflow.
• Telehealth or clinician-run digital symptom tools: These tools focus on care access and clinician interaction, potentially offering more direct medical guidance, but they typically rely on structured symptom intake rather than the same breadth of connected data storytelling.
• Wearable companion apps and device analytics: For activity and sleep interpretation, wearable ecosystems offer trends and basic context; however, they may not combine wearables with hospital records and lab results into one coherent profile.