Cloud NLP platform open for research

Health Fidelity seeks to spur new uses of unstructured clinical data
By Mike Miliard
11:03 AM

Health Fidelity is making its cloud-based REVEAL technology available for research use. The natural language processing platform converts unstructured clinical notes into rich, fully structured and coded content in real-time.

Company officials hope the tool will help researchers find new ways to leverage the full clinical record rather than discrete data alone.

"The nation expects to see positive results from its enormous investment in healthcare information technology," said Dan Riskin, MD, CEO and co-founder of Health Fidelity, in a press statement.

"The information is available and electronic," he added. "Healthcare organizations, industry and researchers must now come together to derive value from the full clinical record. This research program is a small step toward delivering on a vision to leverage data to improve healthcare."

The REVEAL platform incorporates advanced clinical modeling defined and implemented under NSF and NIH funding and broad mapping to industry standard terminologies including ICD-9, ICD-10, SNOMED, RxNorm and LOINC. It also incorporates Columbia University's MedLEE technology through exclusive license.

"REVEAL's advanced NLP capabilities generate a high-quality substrate for complex data mining projects to discover off-label drug use as well as drug related adverse events," said Nigam Shah, MD, assistant professor at the Stanford Center for Biomedical Informatics Research, in a statement. "We use REVEAL to create detailed feature maps of patients to ensure such adverse events do not occur."

The cloud-based service will be offered through a one year research license for a $1,000 set up fee. A qualified principal investigator and a defined research protocol are required. To apply for this research program, or for more information, visit healthfidelity.com/research.

"Columbia is delighted to see the power of MedLEE enhanced and combined with robust clinical modeling and a full terminology set," said George Hripsak, chair of department of biomedical informatics at Columbia University, in a statement. "Working with the secure cloud service offers rapid implementation, scalability and a constantly improving product. It can be a great boon for the research community."

[See also: Clinical informatics critical to reform]