As the healthcare industry transitions to value-based care, clinicians and care managers alike are stretched thin to ensure the right patients are receiving the right care at the right time. Many providers agree the care administered today is too often reactive “sick care” rather than the “health care” they aspire to. But today, using artificial intelligence, providers can shift this paradigm unlocking the predictive signal in their real world healthcare data to ensure proactive interventions are applied to the right patients at the right time - improving patient outcomes and reducing associated costs.
ClosedLoop.ai is an AI-based predictive analytics platform that goes beyond traditional claims-based risk scores to use all patient-related healthcare data to provide both clinicians and care managers with a full breadth of timely, transparent and accurate predictions of health outcomes. ClosedLoop.ai helps value-based providers confidently answer a variety of questions including:
TOTAL RISK: Who will be my most expensive patients this year?
ED OVER-UTILIZATION: Which of my patients would most benefit from establishing a relationship with a primary care provider?
READMISSIONS: Which patients are most likely to be readmitted to the hospital?
TRANSPORTATION: Which patients are most likely to need help with transportation in order to make it to their appointments?
RISING RISK: Which patients are likely to see large increases in their overall health risk over the next 30/60 days?
CHRONIC DISEASE: Which patients are most likely to develop or progress in the severity of a chronic disease?
MEDICATION ADHERENCE: Which patients are most likely to be noncompliant with medications?
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ACO Saves a projected $1.5 million within first yearRead Case Study