In the United States, the shift to Patient Centered Medical Home care delivery and Accountable Care Organizations brings a number of changes in the way healthcare providers will organize themselves and deliver care. A major focus of this new care and reimbursement structure is population management. Medical Homes and ACOs will need to implement systems that apply advanced analytics to identify, stratify and score patient cohorts based on clinical risk, use predictive modeling tools to identify opportunities for earlier, upstream interventions and patient engagement (both in preventative care and in treatment), and they must be able to coordinate care more effectively across different stakeholders in the healthcare system in order to achieve the best outcomes, at the lowest cost.
Join IBM and Frost & Sullivan as they discuss utilizing analytics and care management technology to support coordinated, integrated, comprehensive care delivery that achieves the Triple Aim of improving the patient experience of care (including quality and satisfaction), improving the health of populations; and reducing the per capita cost of health care.
Learn how you can:
- Provide data driven population analysis to support patient centered care processes
- Enable interactive, secure collaboration between patients, care givers, healthcare providers and payers
- Analyze structured and unstructured data from various sources and file formats, including patient records and claims information
- Use analyzed data to predict poor outcomes and identify high risk intervention groups
Greg Caressi, Senior Vice President, Healthcare & Life Sciences, Frost & Sullivan
Craig Rhinehart, Director of Market Development and Strategy, IBM Enterprise Content Management
Adrienne White, Healthcare Offering Manager, IBM Enterprise Content Management