Averbis develops semantic language recognition for health professionals
More time for patients
Freiburg 31 July 2013 – As part of the research project “semanticVOICE”, Averbis GmbH and the RHÖN-KLINIKUM AG are jointly developing a software solution which combines language recognition and contextual text analysis and reduces the costly manual coding of medical documentation to a minimum. The Federal Ministry for Education and Research (BMBF) recognized the potential of the project and is contributing to the “semanticVOICE” with federal funds. The evaluation of medical documentation compiled on a free-text basis holds an abundance of evaluation possibilities for the common health sector.
Technologies for language development have now established themselves in many areas of the medical field. If a computer is able to recognize not only the medical nomenclature, but in addition understands their contextual meaning, one speaks of semantic text recognition. Until now, medical information systems have only been able to offer either language recognition or semantic enrichment, which incurs considerable administrative cost and effort in the billing of medical costs.
The coding of medical services has essentially been a manual process involving significant administrative efforts, the main reason being that medical documentation is extensively unstructured and thus not automatically evaluable. Medical terms, sentence parts, enumerations and stylistic devices vary and the medical language used by doctors differs greatly from common language. Dr. Philipp Daumke, co-founder and managing partner of Averbis GmbH in Freiburg, Germany explains: “Doctors know the enormous administrative cost and effort of coding medical services all too well.” Instead of taking more care of the patients, doctors are spending their valuable time on office work. Dr. Daumke adds, “We are working on an intuitive solution to help reduce this administrative effort.”
To date, no application is available anywhere in the world which combines language recognition and a semantic analysis of medical texts. “semanticVOICE aims at automating this process. The benefits for the health sector are obvious: automated coding of diagnoses, examinations and treatment for billing purposes and plausibility checks of charges for medical services offers significant savings potential in many areas. Should the computer understand the doctor, a variety of improvements in quality and access to services in the health sector are conceivable. The kickoff last Friday was the starting signal for the project. Further information: http://www.semvoice.de.
Averbis GmbH is a specialist for text analysis solutions and present everywhere companies require effective searching of data, its contextual structuring and specific evaluation. The core strength is the analysis of unstructured and structured data, e.g. social media data, news, web resources, reports, patents, company-internal data, emails and research literature. The Averbis software enables the tapping into and evaluation of these knowledge sources and the automation of information processes. By integrating in existing business processes, the solutions contribute to lowering costs, boosting productivity, founded decision-making and better prognoses. Particular know-how exists in the Health Sector, the Pharmaceutical Industry, Libraries and in Publishing. Averbis was founded in 2007 in Freiburg im Breisgau, Germany.
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