HealthReveal assembles a digital twin of each patient from their electronic health records and payer claims, which is continually enhanced by patient-generated health data from remote monitors, wearables and implantable devices. Our solution continually monitors patients and issues Reveals, diagnostic and therapeutic interventions tailored to each patient’s unique circumstances. Reveals are seamlessly embedded into clinical workflow and third-party electronic health records and personalized care management systems.
Reveals are like avatars of leading medical experts in disease states such as heart failure, coronary artery disease, diabetes or kidney disease, continually observing and disseminating optimal care guidance for patients whether they’re at home, in the doctor’s office or living their lives.
Watch the video below to learn more.
HealthReveal changes the trajectory of high-risk patients with early detection and clinically optimal intervention — avoiding the escalating costs typically associated with chronic disease. Reveals improve outcomes for the 5% of patients who would otherwise account for 50%+ of costs.
Preemption of Adverse Clinical Outcomes
- Amputation
- Blindness
- End Stage Renal Disease
- Myocardial Infarction
- Pulmonary Embolism
- Stroke
- Sudden Cardiac Death
Reduction of Costs
- Avoidable Hospitalizations
- Readmissions
- Higher Cost Therapies as Health Status Declines
- Nonadherence
- Reduced Productivity / Absenteeism
Unlike the output from many of today’s predictive analytics and gaps in care tools, Reveals are actionable patient-specific diagnostic or therapeutic interventions. Reveals highlight a patient’s deviation from Guideline-Directed Medical Therapy (GDMT) given their individual health circumstances and suggest a prescriptive solution for the clinician to consider. Each Reveal considers hundreds of decision points and tens of thousands of data elements, dynamically anticipating and adjusting to changing health status, disease progression and co-illnesses. Each Reveal also anticipates the potential cascading consequences of an intervention including side effects, new symptoms and adverse reactions.
AI-powered
To simplify and guide the decision-making process for clinicians and patients with chronic disease
Evidentiary Foundation
To disseminate widely-accepted specialty society guidelines, supplemented with real-world evidence and the expertise of leading clinicians
Precise & Personalized
To intervene based on unique patient physiology, including contextual analysis of patient-generated health data (PGHD) alongside EHR and claims data
Actionable
To embed explicit interventions into clinical workflow via EHRs and population health management systems
Predictive
To isolate patients at greatest risk, predict the progression of their disease and provide explicit interventions that preempt adverse consequences
Application of Machine Learning
To combine GDMT and real-world evidence to refine algorithmic factors, address missing data elements and create new knowledge
Dynamic & Continually Monitoring
To anticipate and react continually to changing physiology, elapsed time frames, evolving disease, side effects, co-morbidities and adverse events
Measurable
To report clinical and financial impact, including return-on-investment (ROI) in the form of preempted adverse outcomes and associated cost savings
Configurable
To allow for clients’ expertise, preferences and alignment with existing clinical pathways, referral patterns and strategic initiatives