The shift
Health data is moving from snapshots to streams.
For decades, care ran on data captured at visits. Devices now report continuously, and the infrastructure has to keep up.
- Clinic visitBlood pressure 128/82Jan 12
- About 3 months with no data
- Lab testGlucose 96 mg/dLApr 3
- About 5 months with no data
- Clinic visitWeight 74 kgSep 20
Resting heart rateGarmin58 bpm
SleepOura7 h 12 min
GlucoseDexcom104 mg/dL
StepsApple Health8,432
WeightWithings73.6 kg- Active minutesGarmin46 min
- HRVOura62 ms
- GlucoseDexcom98 mg/dL
Illustrative data.
Inside the guide
What you will read in From Snapshots to Streams.
The shape of health data is changing
Wearables, continuous glucose monitors and home labs generate signals around the clock, yet most of that data never reaches the people who could use it.
Care as episodes: the snapshot
How health data has historically worked, captured one visit, one lab, one record at a time.
The four cracks digitization left
Why records went digital without becoming usable across systems.
The new complexity of continuous data
What changes when data arrives as a stream instead of a snapshot.
Closing the reach gap
How a standardized infrastructure layer like ROOK Connect helps across digital health, RPM, clinical research and pharma.
- 28
- pages
- ~15
- min read
Free ebook · Field guide
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A field guide on how health data has historically worked, why it's shifting toward a continuous model, and what it takes to build on it.
Written for
- Founders
- Product teams
- Technical leaders
- Digital health
- Medical devices
- RPM
- Clinical research
- Pharma
Build on better health data
Imagine what you can build with ROOK.
Connect the sources your users rely on, standardize what comes back, and build workflows that respond to change.