Caradigm, a healthcare analytics and population health company, has signed an agreement with MEDai, a company that offers predictive clinical analytic solutions.
The agreement is designed to give healthcare organizations the comprehensive set of tools they need to effectively manage risk, optimize care management, and improve the health outcomes of populations.
Under the agreement, Caradigm will enrich its population health solutions with the predictive clinical analytics capabilities of MEDai's solution, enabling customers to stratify patient populations according to severity, disease state, cost or risk profile.
This will allow risk-bearing organizations to use their network of resources to focus care on those who will benefit most, helping to create a positive impact on overall health outcomes and total cost of care.
When coupled with Caradigm Care Management software, providers can develop personalized care plans that specify problems, goals and interventions, and manage patients and conditions through timely interventions enabled by near real-time, event-based alerts.
“Healthcare organizations taking on risk need sophisticated analytics and modeling capabilities to help them drive the most effective care programs," said Brian Drozdowicz, vice president of Population Health at Caradigm.
"The agreement with MEDai will enable us to offer customers best-of-breed predictive analytics and risk management tools to drive effective, timely decisions about the optimal care for patients. We're excited about the power of this solution to help organizations improve outcomes and reduce costs — and transition successfully to value-based or accountable care models."
Peter Edelstein, MD, chief medical officer, MEDai, said: “Combining up-to-date clinical data with a patient's claims data is essential to enabling the best decisions about care — and a powerful differentiator of the Caradigm and MEDai solution. Together, our predictive and analytics tools will give customers unparalleled insight into patients and populations and make it easy for them to manage risk."
MEDai's solution uses statistical algorithms to identify and risk-stratify patients based on a wide range of factors, including: severity of illness, patient motivation and compliance with evidence-based care guidelines, risk of inpatient admission or emergency department visit, and the total cost of care based on the number of conditions, prescriptions and type of care required.
Caradigm, MEDai, risk management, clinical analytic solutions
