Overview:

Healthcare organizations are under tremendous pressure to increase the quality of care they provide, improve clinical outcomes and control their costs. Reducing hospital readmissions for patients with chronic conditions such as congestive heart failure (CHF) can play an important role in helping them achieve those goals.

Healthcare organizations are generating new clinical and operational insights by analyzing multiple, previously inaccessible data sources with solutions such as IBM Content and Predictive Analytics for Healthcare, and using the insights to reduce readmission rates and personalize careplans.

Learning Opportunities:

• Use content and predictive analytics to accurately identify readmission predictors and implement preventative actions

• Extract, analyze and correlate information from multiple sources and of various types to uncover previously unavailable insights about patients’ health dynamics

• Combine multiple analytics capabilities to optimize treatment plans, fine-tune clinical protocols and help avoid reimbursement penalties that affect the bottom line