RISK STRATIFICATION TOOL
Scalable Health's Risk Stratification tool uses predictive analytics to identify high-risk patients for interventional and preventative care and services
Using vital health indicators, lifestyle, and medical history, providers can assign their population and patients a risk status to improve health outcomes, quality care, and lower costs of care.
These scores support more effective risk management based on data reflecting vital health indicators, lifestyle, and medical history. This allows healthcare organizations to manage resources and staffing better, increase efficiencies, and reduce costs while effectively meeting their patient population's care needs.
Offers insights to provide levels of care that are tailored to a population and individual patient
Address population management challenges that can reduce cost of care by at least 3%*
Match Risk with level of care by department
Better care management by personalized treatment plans to lower risk for diverse patient groups
Align the practice with value-based care approach
Well-established risk stratification scores can play a crucial role in prioritizing healthcare scenarios and allocating resources for better outcomes, greater efficiencies, and cost savings.
IntelliProvider's Risk Stratification Module helps our providers with:
- Addressing specific population management challenges
- Match risk with the level of care
- Individualize treatment plans to lower risk and improve function
Our solution has the potential to improve patient outcomes and patient care for patients. IntelliPatient integrates descriptive and predictive analytics to stratify your population health that is prone to depression or is already depressed. Our solution assesses the start of the treatment and various points in the lifecycle of the patient's care, including admission, treatment, discharge, 12 months after release.
Our solution analyzes the data collected from the medical records and laboratory databases in your organization. We use various risk stratification models depending on the situation, location, and case of the provider. With your clinical care group, we would together generate recommended changes in the diabetic regimen that has a high chance of improving the glycemic control, increased monitoring and management of diabetic complications, and greater patient and provider satisfaction.
Cardiovascular disease is the leading cause of death for both men and women in the United States. Our solution uses modern trends in risk stratification of patients with coronary heart disease with the use of data, risk factors, scores, and considers types of coronary artery disease to provide a foundation for targeted preventive efforts based on an individual's predicted risk.