Nobly chooses ABBYY for automated classification of healthcare documents
Danish IT healthcare software vendor integrates ABBYY technology
(firmenpresse) - Munich, Germany (16 February 2017) — ABBYY Europe, a leading global provider of technologies and solutions to action information, has announced that Nobly, the Danish healthcare software vendor (ISV) has extended the capabilities of NoblyDoc, its electronic medical record (EMR) system, by integrating ABBYY’s automatic document classification component.
The new functionality will be used primarily for patient document archival in healthcare and hospital environments to reduce the time healthcare professionals spend manually classifying and sorting these documents. The highly accurate automated classification process is based on a combination of image criteria, OCR and linguistic technologies.
"Working extensively within the Danish healthcare industry, we’re seeing an increasing demand for automation of document processing, with anyone from surgeons to administrative workers handling hundreds of document types a day. In order to automate the processing of these crucial documents quickly and accurately, we decided to integrate the ABBYY FineReader Engine into NoblyDoc. This enables highly accurate automated text extraction and document classification. The result is a smooth and consistent process that eliminates time wasted on sorting and manually inputting information,” said Simon Guldager, CEO of Nobly.
To implement automated classification in the software, individual document types need to be mapped first. Nobly is expecting to capture over 450 document types such as case notes, prescriptions and files relating to cardiography and anaesthesia. A custom-designed interface allows users of NoblyDoc to easily add new document types. This in turn supports workflow automation and reduces the time needed for manual processing, which can be used instead for direct patient care.
“ABBYY enables healthcare organisations to optimise document-driven processes by capturing information, automatically classifying and routing it and extracting patient data to health information management systems. By automating this process, healthcare providers can ensure the information is available for better patient care or more efficient administration with minimal labour cost,” said Sven Diedrich, Director Business Unit Technology Licensing at ABBYY.
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About Nobly
Nobly is a Nordic provider of IT-solutions specialising in Enterprise Content Management, Digital Work Processes and specific custom development. As a company focusing on larger private companies as well as healthcare IT, we provide solutions that match and optimise processes around handling information, whether they are small and simple or large and complex.
Nobly is dedicated on providing state-of-the-art solutions to help our customers be better at doing what they do.
For more information, visit www.Nobly.dk
About ABBYY
ABBYY is a leading global provider of technologies and solutions that help businesses to action information. The company sets the standard in content capture and innovative language-based technologies that integrate across the information lifecycle. ABBYY solutions are relied on to optimise business processes, mitigate risk, accelerate decision making and drive revenue. ABBYY technologies are used and licensed by some of the largest international enterprises and government organisations, as well as small and medium businesses and individuals. ABBYY Europe GmbH is a member of the ABBYY Group supporting sales and marketing activities in Western Europe. The ABBYY Group maintains offices in Germany, the UK, France, Spain, Ukraine, Cyprus, Russia, the United States, Canada, Australia, UAE, Japan and Taiwan. For more information, visit www.ABBYY.com.
ABBYY Europe GmbH
Agata Zesch-Fronc
Elsenheimerstrasse 49
80687 Munich, Germany
Tel.: +49 89 69 33 33 0
E-Mail: press_eu(at)abbyy.com
Web: www.ABBYY.com
abbyyuk(at)teamlewis.com
+44(0)207 802 2626
Datum: 16.02.2017 - 11:31 Uhr
Sprache: Deutsch
News-ID 1487314
Anzahl Zeichen: 2399
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