SBIR/STTR Research Award

Advanced Medical Speech Recognition

Award identifier 6b85ace51b930a75b19bb7bd05df952f741f8bc4624c3e6ae89ef27569a25147Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$100,000

Program and phase

SBIR · Phase I

Award year

2005

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
LOGICAL SEMANTICS, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
PHS2005-2
Topic code
Not reported

Research abstract

DESCRIPTION (provided by applicant): Electronic medical record systems (EMR) are held back because data entry is slow, expensive, and codified in a format unsuitable for relational database repositories. Medical Reporting Solutions has developed advanced technology, which can overcome these problems through new methods to encode knowledge in medical reports, and a domain specific speech recognition system capable of real-time natural language understanding. Our research and development uses methods in corpus linguistics and sentential logic to represent the knowledge in free-text medical reports in an efficient, codeable manner. We have created a prototype speech recognizer capable of natural language processing in real-time employing our unique knowledge base. The knowledge base, while under development, is derived from hundreds of thousands of reports in the radiology domain. Our project plan includes completing our radiology speech recognizer, substantially enlarging our semantic knowledge base to cover 60% of the domain, and extensively testing the system. We plan to test our recognizer by measuring the word error rate (WER), using three different recognition algorithms we believe will substantially enhance performance beyond the best commercial medical speech recognizers.

Technology keywords

Not reported

Agency intelligence

Department of Health and Human Services

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