Health Systems & Hospitals

Manage 10,000 patients with
the care team you have today

Most health systems and hospitals hit a capacity wall long before their value-based contracts pay off — care plans that take hours to build, RPM devices too costly and complex to deploy at scale. Percipio closes that gap: Real-time health signals from the smartphone your patients already carry, and AI-generated, editable care plans in about 30 seconds. No new hardware. No additional staff.

Turn your capacity problem into your
competitive advantage

Reach patients before the crisis, not after

30-second face and voice scans on a smartphone your patients already own captures vitals and cognitive and mental health signals — surfacing risk in real time.

Turn 3-hour care plans into 30 seconds

Building a personalized, evidence-based care plan can take a care coordinator up to three hours. Percipio's AI generates the same plan in about 30 seconds for review and approval.

Scale from 300 patients to 10,000

our VBC and ACO contracts only pay off at population scale. Percipio enables a 5-person care team to manage 10,000 patients instead of 300—a 30x increase in capacity.

No devices. No logistics. No line item

RPM devices require procurement, shipping, training, and support that don't scale across a full risk population. Percipio runs entirely on a smartphone, eliminating device costs and logistics while protecting your value-based contract targets.

Percipio Health Platform

AI health monitoring and care
management

Use Cases

Built for the challenges health systems and hospitals face today

Scaling population health management for VBC and ACO risk contracts — without adding care coordinators

Real-time risk discovery — before or in between office visits

Post-discharge monitoring and readmission prevention

Chronic disease management at scale for ambulatory and attributed populations: CHF, COPD, hypertension, diabetes

Rural and critical access hospital sustainability

Featured Use Case

Rural Health Transformation

Scalable RPM — device-based and device-less — to extend care, detect risk earlier, and align with CMS Rural Health Transformation funding goals.

Impact

More capacity, faster care planning, better outcomes

3 hours

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30sec

 per care plan

5 care coordinators

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10,000

 patients managed

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.

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Dr. Andrew R. Watson

Professor of Surgery, UPMC

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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.

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David Lucas

Co-Founder & Chief Strategy Officer, Percipio Health

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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.

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Dr. Cameron Powell, MD

Venture Partner, WAVE Ventures

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News & Perspectives

Revitalizing the journey to value-based care

3 min read

What the new FDA guidelines on clinical decision support and wellness tech mean for your digital health strategy

The FDA's newly released updated guidance for its clinical decision support and general wellness policies eases the pathway for healthcare organizations and payers who have been hesitating to innovate at the speed of AI. Here is what the 2026 guidance means for your digital health strategy.

2 min read

Strategic investment in Percipio Health aims to help improve access to high-quality, lower-cost healthcare for Blue Cross of Idaho’s members

Granite Financial Holdings, an affiliate of Blue Cross of Idaho, has made a strategic investment in Percipio Health to help advance the health insurance industry’s ability to impact rising and high risk members among broader populations, resulting in lower costs and more optimal outcomes.  

5 min read

How dual RPM + AI will power Rural Health Transformation in 2026

As CMS’s Rural Health Transformation funding rolls out in 2026, rural health leaders must adopt a dual RPM strategy that combines clinically robust device-based monitoring with scalable smartphone-based signals to achieve whole-population visibility. Powered by AI, this integrated approach turns RPM data into actionable risk stratification, automated care plans, and streamlined workflows to enable earlier intervention, lower costs, stronger outcomes, and sustainable rural care delivery.