Transform clinical and operational decision making with IBM Content and Predictive Analytics for Healthcare
IBM Content and Predictive Analytics for Healthcare integrates structured and unstructured data, then applies predictive root cause analysis, natural language processing -- like that at the core of IBM Watson -- and built-in medical annotators to help reveal clinical and operational insights by identifying trends, patterns, deviations and more.
IBM Content and Predictive Analytics for Healthcare can help improve patient satisfaction, lower costs, enhance patient care and optimize outcomes via:
- Diagnostic assistance
- Clinical treatment effectiveness
- Critical care intervention
- Research for improved disease management
- Claims management
- Fraud detection and prevention
- Voice of the patient improvement
- Patient discharge and follow-up care
- Readmission prevention
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Watson in Healthcare Podcast (00:14:15)
Business Analytics and Optimization: Leveraging Transformational Technologies for Optimized Outcomes
Podcast
IBM’s Craig Rhinehart shares what’s innovative about Content and Predictive Analytics for Healthcare for both payers and providers, and how this solution is complementary to IBM Watson.
Dive Deeper
IDC Health Insights explores the value of mining and analyzing unstructured content.
Download the White Paper (215KB)