Using Analytics to Stratify Risk and Reduce Costs of Care
September 2, 2020 1:00 pm ET
September 2, 2020 6:00 pm BST
Hospitals around the country are racing to better understand and respond to COVID-19. Risk stratification, or a process to better assign risk ratings for patients, is an advanced way to better quantify high-risk patients, while maintaining a quality patient experience.
Health systems need to limit the danger of system-overwhelm and poor outcomes for patients and caregivers. By applying analytics, hospitals can reduce costs of re-admissions and improve patient experiences and outcomes.
- How a new process, to stratify patient risk, can lead to better outcomes in healthcare.
- New models for quantifying risk and how these can relate back to developing best practices in your organization.
- How to reduce the cost of care and improve patient experience through risk simulation.
Director, Scalable Health
Chief Medical Officer, Scalable Health
Managing Director, Strategy Consulting Sisense