Wednesday, June 15, 2011
1:00 pm Eastern Daylight Time
From basic word search to now Human Language Understanding, IBM has traversed this journey starting with Mechanized Encoding and Searching of Literary Information (1957) to the ultimate performance of Human Language Understanding in the game show Jeopardy by the computer system named Watson (2011).
No - IBM is not going on the game show circuit, but IBM will make Watson's full human language understanding deep question and answer system (DeepQA) available to healthcare in the near future for many use cases benefitting providers and payers. So what about now?
With IBM Content Analytics and its healthcare-specific solution called Medical Records Text Analytics, the Natural Language Processing technologies used in Watson are available to unleash the content traditionally locked in doctor's notes, clinical records, journal articles, desk references, drug uses / interactions, and many other medical content sources.
By unleashing this information, biomedical informatics organization can leverage the information to enhance disease management research, improve clinical treatment effectiveness and automate performance and quality reporting and other uses today while taking advantage of Watson for Healthcare DeepQA when available in the near future.
In this web seminar IBM will discuss:
1. What is IBM Watson DeepQA System
2. Outline what Watson capabilities are available today commercially in IBM Content Analytics and it's Medial Records Text Analytics (MRTA) Solution
3. Describe how ICA and MRTA can impact Healthcare organizations
* Rashmi Vittal - ECM Content Analytics Product Marketing
* Randall Wilcox - Text Analytics Principle - Text Analytics Group Solution Representative - IBM
Complimentary! There is no cost to attend this webinar.
Each webinar lasts at least 60 minutes and includes a Q&A session with the presenter. Each registration includes one web connection per registrant.
CPHIMS, This activity qualifies for 1.0 contact hour toward recertification of the CPHIMS credential.
Register for the webinar here.
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