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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:
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Use content and predictive analytics to accurately
identify readmission predictors and implement
preventative actions
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Extract, analyze and correlate information from
multiple sources and of various types to uncover
previously unavailable insights about patients’
health dynamics
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Combine multiple analytics capabilities to optimize
treatment plans, fine-tune clinical protocols and
help avoid reimbursement penalties that affect the
bottom line
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