SMITH - Smart Medical Information Technology for Healthcare
OverviewWithin the concept phase of the Medical Informatics Funding Scheme of the Federal Ministry of Education and Research (BMBF), the university hospitals in Aachen, Jena, Leipzig, Hamburg, Bonn, Essen and Halle are involved and funded. Their aim within the scope of SMITH is the development of an innovative structure for cross-institutional linking and exchange of healthcare and research data between sites and beyond.
Programme: MII - Medical Informatics Initiative
Health Atlas ID: 81CN2DP7WT-9
Funding codes:- 01ZZ1803A
Public web page: https://www.smith.care/
Organisms: Homo sapiens
Human Diseases: No Human Disease specified
Health Atlas PALs: Markus Löffler
Project Coordinators: No Project coordinators for this Project
Project start date: 1st Jan 2018
Related items
Snapshots: No snapshots
We evaluated if the PhenoMan returns correct/complete result sets and if it is working with real data. To simulate a FHIR health data store with real data we used Synthea(TM) to generate a large data set and imported it into a HAPI FHIR JPA Server. Based on the synthetic data set we developed ten example queries with different structure and complexity with PhenoMan and SQL. We compared the results of the queries in means of execution time and equality of results.
The detailed steps of the evaluation
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This assay bundles all synthetic FHIR data of the PhenoMan evaluation. The data arised from a subset of a Synthea(TM) generated data set.
We truncated some resource types like Encounter and Provider to reduce the size of the data set and to speed up the import in a FHIR health data store.
Submitter: Christoph Beger
Resource type: Result Dataset of Clinical Study
Technology type: Technology Type
Snapshots: No snapshots
Submitter: Alexandr Uciteli
Biological problem addressed: Model Analysis Type
Snapshots: No snapshots
We modelled the algorithm for determining Type 2 Diabetes Mellitus (T2DM) cases presented by PheKB.org using Phenotype Manager (PhenoMan).
Submitter: Alexandr Uciteli
Biological problem addressed: Model Analysis Type
Snapshots: No snapshots
Abstract
Authors: Udo Hahn, Michel Oleynik
Date Published: 21st Aug 2020
Publication Type: Journal article
Abstract
Authors: Miriam Kesselmeier, Norbert Benda, André Scherag
Date Published: 14th Aug 2020
Publication Type: Journal article
Abstract
Authors: Jimmy Huang, Yi Chang, Xueqi Cheng, Jaap Kamps, Vanessa Murdock, Ji-Rong Wen, Yiqun Liu, Erik Faessler, Michel Oleynik, Udo Hahn
Date Published: 25th Jul 2020
Publication Type: InProceedings
Abstract (Expand)
Authors: F. Borchert, C. Lohr, L. Modersohn, T. Langer, M. Follmann, J. P. Sachs, U. Hahn, M. P. Schapranow
Date Published: 13th Jul 2020
Publication Type: Misc
Abstract (Expand)
Authors: M. Lobe, F. Matthies, S. Staubert, F. A. Meineke, A. Winter
Date Published: 16th Jun 2020
Publication Type: Journal article
T2DM Phenotype Algorithm Specification Ontology (PASO) developed using PhenoMan
Download
The tabular representation of the T2DM phenotype algorithm generated by PhenoMan using the T2DM ontology
Example Reasoner Report generated by PhenoMan
Example Reasoner Report generated by PhenoMan
Presentation on JOWO/ODLS 2019 in Graz
Creators: Alexandr Uciteli, Christoph Beger
Submitter: Christoph Beger
https://orcid.org/0000-0002-1166-0368
Projects: SMITH - Smart Medical Information Technology for Healthcare
Institutions: Averbis GmbH Freiburg
Projects: SMITH - Smart Medical Information Technology for Healthcare
Institutions: Universitätsklinikum Essen
The Joint Ontology WOrkshops (JOWO) is a venue of workshops that, together, address a wide spectrum of topics related to ontology research, ranging from Cognitive Science to Knowledge Representation, Natural Language Processing, Artificial Intelligence, Logic, Philosophy, and Linguistics.
Country: 
Austria
City: Graz
