AI health signals for remote monitoring & care management
Device-free monitoring
Vitals
How it Works:
- Camera-based face-scan measures blood pressure, heart rate, HRV, and respiratory rate
- Full scan in 30 seconds
- No cuff, no wearable, no equipment
- Transmitted automatically — no manual entry required
Why it matters:
- Removes barriers of device-based monitoring
- Any patient with a smartphone can participate
- Daily cadence catches trends that quarterly or annual clinical readings miss
- Accessible to geographically dispersed or mobility-limited patients
Brain Health
How it Works:
- Patient records 45-second voice memo
- AI analyzes speech patterns for indicators of behavioral health, mental health, neurodegenerative status and energy levels
Why it matters:
- Mental health and cognitive decline are systematically undercaptured in claims data
- Voice biomarkers can surface deterioration signals months before clinical presentation
- Enables early identification of depression, anxiety, and early-stage cognitive change in high-risk populations — a major cost driver
Medications
How it Works:
- Patient photo journals their oral medications
- AI analyzes photos determine what the medications are by using size, shape, color and pill markings
- Adherence, risks, gaps, and education needs detected automatically
- No patient self-reporting required
Why it matters:
- Medication non-adherence drives an estimated $300B in avoidable healthcare costs annually
- Photo journaling removes the self-reporting bias that undermines most adherence tracking tools
- Clinicians see real adherence data — not patient recall — enabling targeted, timely intervention
Social Determinants of Health (SDOH)
How it Works:
- Patient provides additional health context — housing stability, food access, transportation, social support
- Data is surfaced alongside clinical signals for a holistic patient view
- Informs care navigation workflows
Why it matters:
- SDOH factors account for up to 80% of health outcomes — yet most monitoring platforms capture none of them
- Enables care teams to address non-medical barriers that directly drive avoidable utilization
- Particularly high-impact in rural, low-income, and dual-eligible populations where SDOH burden is highest
Multi-signal analysis
Payers and providers can now reach and understand a much broader population, of both rising and high risk, to ensure they receive the proactive attention, assessment and interventions they need, resulting in lower costs of care and more optimal outcomes.
David Lucas
Co-Founder & Chief Strategy Officer, Percipio Health
A significant need exists to deliver to the clinician the right information about the right patient at the right time. With Percipio, this need can be accomplished at scale, at lower cost, with higher fidelity, transparency, and visibility of the data.
Dr. Cameron Powell, MD
Venture Partner, WAVE Ventures
Asynchronous monitoring is among the most powerful tools for the future of healthcare, enabled by AI. This ability to make the patient’s phone a pivotal part of healthcare may provide powerful health insights, second only to genetics.
Dr. Andrew R. Watson
Professor of Surgery, UPMC
Building progress through strategic collaboration
