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Unify Fragmented Health Data with Copilot Health

Synthesize disparate health metrics into one clear, understandable health narrative.

Leverage Copilot Health to integrate fragmented health information, such as sleep data and blood work, into a cohesive analysis.

Microsoft Copilot

The Scenario

You have various health metrics from different apps and labs and want to understand how your lifestyle choices are affecting your clinical results.

Before & after

The old way

People often manually compare data from fitness trackers, blood work PDFs, and sleep apps to find health trends. Time cost: 1–2 hours of tedious cross-referencing.

With AI

Using Copilot Health, you can feed multiple health data points into the system to identify correlations and health patterns automatically. Time cost: 5–10 minutes.

The Prompt

Analyze my [SLEEP DATA] and [BLOOD WORK RESULTS] provided below. Identify any potential correlations or trends I should discuss with my healthcare provider: [PASTE DATA]

Use the specific Copilot Health preview features to synthesize disparate health datasets like sleep patterns and clinical lab results into a unified view.

Source

Microsoft Copilot Blog | AI news and insights
"Your sleep data says one thing. Your blood work says another... bring it together in a way that makes sense."