1. IBM Content and Predictive Analytics for Healthcare How it works
Unstructured Data
(Nurses notes, discharge notes, etc.)
Structured Data
(Billing data, EMR, etc.)
Raw Information
Search and Visually Explore (Mine)
Monitor, Dashboard and Report
Question and Answer*
Custom Solutions
Dynamic Multimode Interaction
IBM Content and Predictive Analytics
Content Analytics
Natural Language Processing
Medical Fact and Relationship Extraction (Annotation)
Trend, Pattern, Anomaly, Deviation Analysis
Predictive Analytics
Predictive Scoring and Probability Analysis
Analyzed and Visualized
Information
Health Integration Framework
Data Warehouse and Model
Master Data Management
Advanced Case Management
Business Analytics
Partners (HLI)
Specialized Research
IBM Watson for Healthcare
Confirm hypotheses or seek alternative ideas with confidence based responses from learned knowledge*
Key Points to Make
Explain the components to ICPA (see slide)
Explain the flow of information from left-to-right
Start with Raw Information, both structured and unstructured
Explain how the ICPA transforms raw information into analyzed information though multiple analytics services
Content Analytics
Natural Language Processing
Medical Fact and Relationship Extraction
Trend, Pattern, Anomaly, Deviation Detection and Analysis
Predictive Analytics
Predictive Scoring and Probability Analysis
In the future, we’ll add Watson services to enable deep question answering from trusted knowledge sources
Analyzed information is surfaced to all knowledge workers (executives, clinicians and operational roles)
Users are able Search and Explore (Mine), Monitor and Report and Question and Answer (future)
Analyzed Information (Insights) can leverage master patient information systems and exchanges
It can also be delivered through custom solutions .. or through other systems such as:
Data Warehouses and Business Analytics systems
Advanced Case Management systems
All built on a proven Health Integration Framework 1
* Future optional capability 1 1 1