Digital health platforms
Add a clearer understanding of each case without replacing the product layer above it.
PI Health
A clearer way to understand changing health data.
PI Health helps pull different health signals into one view so teams can see what changed, what may be causing it, what may deserve attention first, and when the evidence is too weak to say more.
Why health first
Health is where mixed signals matter most.
PI Health is strongest where home data, symptoms, labs, and events do not fit neatly into one score or one threshold.
Intended role
- Helps teams review complex cases
- Looks at change from a person's usual baseline
- Shows what may be causing the current picture
- Shows what may be helping versus hurting
- Shows where several factors may be working together
- Keeps early findings separate from stronger confirmation
- Shows weaker points, less obvious levers, and what matters most
- Only surfaces permitted action when the governed lane clears
- Stays cautious when the evidence is thin
Where it fits
PI Health works best inside other products and workflows.
The best near-term fit is inside digital health, clinical, or monitoring products that already handle workflow and engagement.
Clinician-facing tools
Support review where the data is mixed, scattered, or hard to read quickly.
Research workflows
Explore what may be shaping outcomes across people without losing the individual story.
Partner pilots
Test one clear workflow problem before making broader claims.
Evidence direction
The strongest proof so far is in health.
Evidence from the McPhases dataset
PI was evaluated on the McPhases Women’s Health dataset across real participant histories, with staged reasoning, continuity-aware rollups, and a cohort-level evidence map.
Read the evidence briefEvidence from a MIMIC-based cohort
PI was also applied to a deidentified inpatient cohort, where it processed 100 users, carried 37 cases through full Stage 3 review, and kept explanation separate from intervention.
Read the evidence briefMore than daily scores
Wearable-centered work shows how PI can go beyond basic dashboards and look at what may be causing the current picture.
Clearer reasons to watch
PI is a fit for settings where review burden is high and the information is spread across many sources and teams need a clearer reason to pay attention.
Separate evidence briefs are now available for women’s health and a MIMIC-based inpatient cohort. Additional cohort briefs can follow as new runs clear review.
Current posture
Ready for the right kind of conversation.
- Internal and partner use
- Pilot and research discussions
- Sub-layer use inside existing health products
- Clinical review and support exploration
What is not claimed
- Autonomous triage
- Autonomous diagnosis
- Unbounded treatment recommendation
- Finished public clinician-grade product
PI’s health story is stronger when it remains disciplined about intended purpose and non-claims.
Health conversations
Talk about PI Health in your setting.
The best first discussion is usually narrow: one workflow, one care pathway, or one product question.