Remedy Health

Remedy Health
Know your patient’s future. Power to change its course.
San Francisco, California, United States United States
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Company description
Remedy catches chronic disease early to drive better outcomes for patients and savings for health systems.
Remedy's AI turns the humble health risk assessment forms mandated for Medicare annual wellness visits into a machine learning engine to capture clinically relevant insights and recommend actionable next steps. The platform guides care coordinators through evidence-based diagnostic phone interviews to identify patients who have an undiscovered chronic disease. The AI leverages the latest in interpretable deep learning and reinforcement learning technologies to dynamically construct a 10-15 minute interview specific to each patient, capturing relevant social determinants of health and disease-specific symptomatology. This effectively filters a subset of patients to bring in for an annual wellness visit and further testing, when appropriate. This is the first step to guiding each chronic patient into the care pathway and care management program that works best for them.
In doing so, Remedy helps focus scarce clinical resources to the patients who need it most and drive rapid ROI by speeding up accurate, specific, and complete code capture to make sure that value-based health systems are adequately compensated for the chronic disease burden they are bearing today. Importantly, this data loop that matches patient state to care plan and outcomes forms the basis for a self-improving algorithm that learns from each case that passes through the Remedy platform.

Business model

We operate on a partnership model where charge based on our ability to successfully predict and bring in patients with previously undiagnosed chronic diseases for an annual wellness visit. Our fee is $10 per 0.01 in RAF uplift generated for each beneficiary.

Competitive advantage

1. Machine learning from both humans and data – allows our AI to reason using data not captured in EMRs or claims data, and reason in environments away from the point of care.

2. Interpretable algorithms – able to explain the evidence behind any decision that it makes.

3. Data advantage that grows over time – building up valuable dataset of early engagement to treatment to outcomes.