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218 Publications visible to you, out of a total of 218
Use of Natural Language Processing for Precise Retrieval of Key Elements of Health IT Evaluation Studies
Management of health information systems

Abstract (Expand)

Having precise information about health IT evaluation studies is important for evidence-based decisions in medical informatics. In a former feasibility study, we used a faceted search based on ontological … modeling of key elements of studies to retrieve precisely described health IT evaluation studies. However, extracting the key elements manually for the modeling of the ontology was time and resource-intensive. We now aimed at applying natural language processing to substitute manual data extraction by automatic data extraction. Four methods (Named Entity Recognition, Bag-of-Words, Term-Frequency-Inverse-Document-Frequency, and Latent Dirichlet Allocation Topic Modeling were applied to 24 health IT evaluation studies. We evaluated which of these methods was best suited for extracting key elements of each study. As gold standard, we used results from manual extraction. As a result, Named Entity Recognition is promising but needs to be adapted to the existing study context. After the adaption, key elements of studies could be collected in a more feasible, time- and resource-saving way.

Authors: Verena Dornauer, Franziska Jahn, Konrad Hoeffner, Alfred Winter, Elske Ammenwerth

Date Published: 2020

Publication Type: Journal article

Towards a Comparison of National eHealth Portals: Poster
Management of health information systems

Abstract

Not specified

Authors: Maryam Ghalandari, Franziska Jahn, Alfred Winter

Date Published: 2020

Publication Type: Misc

Design of Metadata Services for Clinical Data Interoperability in Germany.
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Secondary use of electronic health record (EHR) data requires a detailed description of metadata, especially when data collection and data re-use are organizationally and technically far apart. This … paper describes the concept of the SMITH consortium that includes conventions, processes, and tools for describing and managing metadata using common standards for semantic interoperability. It deals in particular with the chain of processing steps of data from existing information systems and provides an overview of the planned use of metadata, medical terminologies, and semantic services in the consortium.

Authors: M. Lobe, O. Beyan, S. Staubert, F. Meineke, D. Ammon, A. Winter, S. Decker, M. Loffler, T. Kirsten

Date Published: 21st Aug 2019

Publication Type: Journal article

Towards customer-induced service orchestration - requirements for the next step of customer orientation
Management of health information systems

Abstract

Not specified

Authors: Rainer Alt, Jan Fabian Ehmke, Reinhold Haux, Tino Henke, Dirk Christian Mattfeld, Andreas Oberweis, Barbara Paech, Alfred Winter

Date Published: 1st Mar 2019

Publication Type: Journal article

Continouus Annotation Quality Control, Support for Hierarchically Structured Label Sets and Long-Segment Annotation with WAT-SL 2.0
SMITH - Smart Medical Information Technology for Healthcare

Abstract

Not specified

Authors: Matthias Löbe, O. Beyan, Sebastian Stäubert, Frank A. Meineke, D. Ammon, Alfred Winter, S. Deckert, Markus Löffler, Toralf Kirsten

Date Published: 2019

Publication Type: InProceedings

Aus-, Fort- und Weiterbildung in der Medizininformatik-Initiative
Management of health information systems

Abstract

Not specified

Authors: Paul Schmücker, Ulrike Schemman, Alfred Winter, Oliver Bott, Petra Knaup-Gregori, Stefan Kropf, Heinrich Lautenbacher, An Lo Phan-Vogtmann, André Scherag, Cord Spreckelsen

Date Published: 2019

Publication Type: Journal article

Towards a Software Tool for Planning IHE-Compliant Information Systems
Management of health information systems

Abstract

Not specified

Authors: Sebastian Stäubert, Alexander Strübing, J. Drepper, B. Bergh, Alfred Winter, A. Merzweiler

Date Published: 2019

Publication Type: InCollection

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The Health Atlas - Local Data Hub/Leipzig is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

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