Copilot, Microsoft's generative assistant, handled more than half a million health and well-being conversations during a month-long analysis undertaken by the company.
Microsoft said the research used a privacy-preserving workflow: conversations were de-identified at source and processed by automated topic and intent extraction, and no human reviewers read user chats. Nearly 1 in 5 health conversations, in its research cohort, involved users describing their own symptoms, interpreting test results, or managing chronic conditions.
Around 10.9% of health queries sought symptom interpretation, 9% asked for personalized lifestyle and fitness guidance, and 5.8% of the co-pilot queries related to healthcare navigation, insurance, or benefits.
Mobile conversations revealed twice the rate of symptom and condition questions compared with desktop, and 75% more emotional well-being queries, while desktop skews 3x toward research and academic work.
Across symptom and condition management questions, 1 in 7 conversations are on behalf of someone else, often children or ageing parents, which raises issues around consent and escalation.
Related reading
- Hospitals are moving AI out of the lab and into everyday clinical work, Microsoft says
- Microsoft launches Frontier Suite with Agent 365
- Microsoft unveils Dragon Copilot updates at HIMSS 2026
Microsoft said its consumer health team is working to improve clinical context, stronger clinical reasoning, and care navigation features, including provider directories and appointment booking in the US, with plans to expand globally. The company also noted its broader products handle substantial health traffic:
The company at the same time noted, by way of disclaimer, that Copilot is "not intended to diagnose, treat, or prevent diseases or other conditions and is not a substitute for professional medical advice."
The recap
Analysis covers over half a million Copilot health conversations.
Nearly 1 in 5 conversations involve symptoms or condition management.
Microsoft will expand provider directories and improve clinical reasoning.