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Using openEHR Archetypes for Automated Extraction of Numerical Information from Clinical Narratives
(2019)
Up to 80% of medical information is documented by unstructured data such as clinical reports written in natural language. Such data is called unstructured because the information it contains cannot be retrieved automatically as straightforward as from structured data. However, we assume that the use of this flexible kind of documentation will remain a substantial part of a patient’s medical record, so that clinical information systems have to deal appropriately with this type of information description. On the other hand, there are efforts to achieve semantic interoperability between clinical application systems through information modelling concepts like HL7 FHIR or openEHR. Considering this, we propose an approach to transform unstructured documented information into openEHR archetypes. Furthermore, we aim to support the field of clinical text mining by recognizing and publishing the connections between openEHR archetypes and heterogeneous phrasings. We have evaluated our method by extracting the values to three openEHR archetypes from unstructured documents in English and German language.
This paper describes the latest accomplishments on the current research that is based on the master’s thesis “Ein System zur Erstellung taktiler Karten für blinde und sehbehinderte Menschen” (German for “A system creating tactile maps for blind and visually impaired people”) (Hänßgen, 2012). The system consists of two parts. The first part is new software especially designed and developed for creating tactile maps addressing the needs of blind and visually impaired people on tactile information. The second is an embossing device based on a modified CNC (computer numerical control) router. By using OpenStreetMap-data, the developed system is capable of embossing tactile maps into Braille paper and writing film.
The network security framework VisITMeta allows the visual evaluation and management of security event detection policies. By means of a "what-if" simulation the sensitivity of policies to specific events can be tested and adjusted. This paper presents the results of a user study for testing the usability of the approach by measuring the correct completion of given tasks as well as the user satisfaction by means of the system usability scale.