Content and Predictive Analytics for Healthcare

Content and Predictive Analytics for Healthcare pairs content analytics and predictive analytics using Content Analytics with Enterprise Search and SPSS Modeler Professional along with solution and healthcare industry specific medical terminology support and services. It is:

• The first Ready for IBM Watson solution ensuring compatibility with Watson.
• The only built for healthcare solution available that pairs natural language processing with predictive root cause analysis.

Content and Predictive Analytics for Healthcare helps you:

• Foster evidence based decision making by accurately extracting and understanding facts and relationships buried in large volumes of information.
• Target research for improved treatment effectiveness by rapidly driving insights from trends, patterns and deviations in unstructured data.
• Improve readmission rates by enabling clinical and knowledge workers through integration with existing information systems.

Facing issues such as inconsistent quality and increasing costs, healthcare providers are transforming their care models to be more patient centric, evidence and value based. Whether adopting electronic medical records, measuring outcomes to demonstrate accountability, or adopting new payment models, these changes create new information. This explosion of information presents a huge opportunity to optimize clinical and operational outcomes, yet many healthcare organizations fail to realize this opportunity due to the volume and variety of data.

Eighty percent of organizational data is unstructured and omitted from traditional analysis. Optimal care and business outcomes require analysis that includes structured and unstructured data. The faster you can unlock data from all of your information sources, the more rapidly you will reveal actionable clinical and operational insights.