Millions of dictated and typed medical reports require laborious and time-consuming processing by highly trained and expensive experts who manually review and extract the required information. MedLEE reduces the time and expense associated with these processes by automatically extracting and encoding all relevant clinical information. Once coded, the information is easily available and accessible for further clinical processes like billing, reimbursement, quality assurance analytics, data mining, accreditation and others.
“A significant proportion of the [electronic] health care record (EHR) resides in the form of unstructured, natural language text and both the amount of data and the number of records is growing dramatically,” said Bernie Keppler, founder and chief executive of NLP International. “Ready access to this information is critical to save costs and improve the quality and access to health care.”
MedLEE has been successfully tested by large hospital systems and government agencies, including the
“I am excited that this technology will now be more broadly available to hospitals and other health care organizations, where it can continue to contribute to improving patient care,” said Carol Friedman Ph.D., Professor of Biomedical Informatics at
“MedLEE is considered by many in the field as the gold standard for unstructured medical text processing, but it has not been available as a commercial, enterprise-ready product,” said Donna See, Director of Strategic Initiatives at STV, which brokered the deal. “We are very pleased to be partnering with NLP International to introduce MedLEE to these markets.”
Robert Sideli, M.D., CIO at
David Lerner, who oversees new ventures for STV, said
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