Track vitals, brain health, medication adherence, social determinants and more.
Advanced AI assesses risk, generates automated care plans, and surfaces meaningful insights.
Increase engagement, improve outcomes, and reduce medical costs.
Percipio facilitates always-on engagement and clinical assessment to automate continual risk stratification and care planning. This allows organizations to intervene months earlier on the 20% of rising-risk individuals who convert to high-risk each year—before avoidable costs hit.
Smartphone-based assessments deliver complete risk profiles, clear tiers, and prioritized actions — no devices or clinic visits — and before claims and costs.
Scalable RPM — device-based and device-less — to extend care, detect risk earlier, and align with CMS Rural Health Transformation funding goals.
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
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
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
Oklahoma State University has been pioneering telehealth services for more than 25 years, and now we are taking the next step by partnering with Percipio. Their cutting edge, AI-enabled smartphone app will create a real-time snapshot of individual patient and community health, provide scalability, tailored and targeted interventions, along with promising data for research and educational outreach.
Johnny Stephens, Pharm D.
President, OSU Center for Health Sciences
3 min read
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.
5 min read
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.
5 min read
Most health plans uncover member risk only after claims arrive—when costs are already climbing. This post explores how AI-driven, smartphone-based data collection can help identify hidden risks weeks or months earlier. By accelerating engagement and surfacing clinical, behavioral, and social health insights in real time, plans can intervene sooner, improve risk accuracy, and prevent rising costs before they take hold.