Posts Tagged ‘MD Anderson Cancer Center’

A Closer Look At SemTechBiz Startup Competition Winner: KnowMED And Its Clinical Discovery Platform

KnowMED walked away the big winner of the Semantic Start-Up Competition. The Semantic Web Blog caught up with CTO Matthew Vagnoni, MS, and CEO Jerry D. Scott to further discuss the company’s winning entry, the Clinical Discovery Platform, for helping the health care sector semantically integrate data and ask natural language questions of that data, to support clinical research and complex decision-making.

The problem that the health care industry at large faces of not being able to easily and efficiently integrate and share data across organizations’ borders is equally a challenge right within the institutions themselves. “Large modern health care organizations are somewhat insular,” says Vagnoni.

At Medical City Children’s Hospital in Dallas, as an example, there are three separate electronic health record systems just for its neonatal division. The diverse formats and vocabularies made it difficult to try to ask questions of this data for research or efficiency purposes. But within two months of deploying KnowMED’s Clinical Discovery Platform, Vagnoni says, most of the data was integrated into a single view, “so clinicians could interact with it almost like using Google. …We combined the data from all the different sources so that clinicians could go in and ask questions [that reflect] how they think, not how [the information] is in the data schema.”

Read more

Semantic Web Jobs: MD Anderson Cancer Center

MD Anderson is looking for a Senior Data Architect in Houston, TX. The post states, “The Sr. Data Architect is responsible for transforming complex business structures, processes and activities into technical architectures, models, diagrams and documents in support of the delivery of complex information centric information technology solutions. In addition, the Sr. Data Modeler will design, develop and support complex enterprise composite applications, vocabulary services and ontology applications that extract knowledge contained within software applications and enterprises for a particular domain and the enterprise.” Read more