A5058032647- Corporate Governance and Management
- Biomedical Text Mining and Ontologies
- Ethics in Clinical Research
- Scientific Computing and Data Management
- Semantic Web and Ontologies
- Data-Driven Disease Surveillance
- Medical Coding and Health Information
- Artificial Intelligence in Healthcare and Education
- Library Science and Information Systems
- Corporate Governance and Law
- COVID-19 diagnosis using AI
- Health, Environment, Cognitive Aging
- Data Quality and Management
- Radiomics and Machine Learning in Medical Imaging
- Research Data Management Practices
- Data Analysis with R
Universitätsmedizin Greifswald
2017-2023
Universität Greifswald
2017
Abstract Background The variety of medical documentation often leads to incompatible data elements that impede integration between institutions. A common approach standardize and distribute metadata definitions are ISO/IEC 11179 norm-compliant repositories with top-down standardization. To the best our knowledge, however, it is not yet practice reuse content publicly accessible for creation case report forms or routine documentation. We suggest an alternative concept called pragmatic...
Conducting large-scale epidemiologic studies requires powerful software for electronic data capture, management, quality assessments, and participant management. There is also an increasing need to make the collected findable, accessible, interoperable, reusable (FAIR). However, tools from major studies, underlying such needs, are not necessarily known other researchers. Therefore, this work gives overview on main used conduct internationally highly networked population-based project Study...
Background: Electronic collection and high quality analysis of medical data is expected to have a big potential improve patient care research. However, the integration from different stake holders posing crucial problem. The exchange reuse models as well annotations with unique semantic identifiers were proposed solution.
The German Central Health Study Hub COVID-19 is an online service that offers bundled access to related studies conducted in Germany. It combines metadata and other information of epidemiologic, public health clinical into a single data repository for FAIR access. In addition study characteristics the system also allows easy documents, as well instruments collection. survey are decomposed individual items semantically enriched ease findability. Data from existing trial registries (DRKS,...
SNOMED CT fosters interoperability in healthcare and research. This use case implemented for browsing COVID-19 questionnaires the open-software solutions OPAL/MICA. We a test server requiring files given YAML format implementation of taxonomies with only two levels hierarchy. Within this format, neither hierarchies post-coordination nor release were possible. To solve this, Python scripts written to integrate required concepts (Fully Specified Name, FSN Identifier, SCTID) into (YAML Mode)....