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
LHA ID: 81CN2DP7WT-9
Funding codes:- 01ZZ1803A
Public web page: https://www.smith.care/
Human Diseases: No Human Disease specified
Leipzig Health Atlas PALs: Markus Löffler
Project Coordinators: No Project coordinators for this Project
Project start date: 1st Jan 2018
Related items
Submitter: Alexandr Uciteli
Studies: Ontological Modelling of Basic Eligibility Criteria, Ontological Modelling of Type 2 Diabetes Mellitus (T2DM) Phenotype, PhenoMan Evaluation with Synthetic FHIR Data
Resources: Basic Eligibility Criteria of an Example Blood Pressure Study, Ontological Modelling of T2DM Phenotype using Phenotype Manager (PhenoMan), PhenoMan Evaluation - Synthetic FHIR Data
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 ...
Submitter: Christoph Beger
Investigation: Ontology-based Phenotyping
Resources: PhenoMan Evaluation - Synthetic FHIR Data
Study type: Not specified
Submitter: Alexandr Uciteli
Investigation: Ontology-based Phenotyping
Resources: Basic Eligibility Criteria of an Example Blood Pressure Study
Study type: Not specified
Submitter: Alexandr Uciteli
Investigation: Ontology-based Phenotyping
Resources: Ontological Modelling of T2DM Phenotype using Phenotype Manager (PhenoMan)
Study type: Not specified
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
Investigation: Ontology-based Phenotyping
Submitter: Alexandr Uciteli
Biological problem addressed: Model Analysis Type
Investigation: Ontology-based Phenotyping
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
Investigation: Ontology-based Phenotyping
Abstract (Expand)
Authors: A. Uciteli, C. Beger, J. Wagner, A. Kiel, F. A. Meineke, S. Staubert, M. Lobe, R. Hansel, J. Schuster, T. Kirsten, H. Herre
Date Published: 24th May 2021
Publication Type: Journal article
Abstract (Expand)
Authors: A. Uciteli, C. Beger, J. Wagner, T. Kirsten, F. A. Meineke, S. Staubert, M. Lobe, H. Herre
Date Published: 26th Apr 2021
Publication Type: Journal article
Abstract (Expand)
Authors: Henner M. Kruse, Alexander Helhorn, Lo An Phan-Vogtmann, Julia Palm, Eric Thomas, Andreas Iffland, Andrew Heidel, Susanne Müller, Kutaiba Saleh, Karsten Krohn, Martin Specht, Michael Hartmann, Katrin Farker, Cord Spreckelsen, Andreas Henkel, Andre Scherag, Danny Ammon
Date Published: 26th Apr 2021
Publication Type: Journal article
Abstract (Expand)
Authors: A. Uciteli, C. Beger, T. Kirsten, F. A. Meineke, H. Herre
Date Published: 21st Dec 2020
Publication Type: Journal article
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
Abstract (Expand)
Authors: C. Lohr, L. Modersohn, J. Hellrich, T. Kolditz, U. Hahn
Date Published: 16th Jun 2020
Publication Type: Journal article
T2DM Phenotype Algorithm Specification Ontology (PASO) developed using PhenoMan
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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
Example Reasoner Report generated by PhenoMan
Example Reasoner Report generated by PhenoMan
Example Reasoner Report generated by PhenoMan
The decision tree was generated by PhenoMan in GraphML format and was processed using an automatic layout of the yEd Graph Editor. Nonetheless, it is also possible to generate the complete tree as image in PNG format.
Presentation on JOWO/ODLS 2019 in Graz
Creators: Alexandr Uciteli, Christoph Beger
Submitter: Christoph Beger
As head of the Data Integration Center at Jena University Hospital, Dr. Danny Ammon is active in the areas of standardization, processing and communication of medical documentation for healthcare and biomedical research.
Projects: LHA - Leipzig Health Atlas, Onto-Med Research Group, SMITH - Smart Medical Information Technology for Healthcare, COVID-19 Leipzig, LIFE Child, LIFE - Leipzig Research Center for Civilization Diseases, Project Test Demonstrator
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE), Universitätsklinikum Leipzig, AöR, invalid
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
Projects: SMITH - Smart Medical Information Technology for Healthcare
Institutions: Universitätsklinikum Jena
Projects: SMITH - Smart Medical Information Technology for Healthcare
Institutions: Friedrich-Schiller-Universität Jena
Projects: HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia, e:Med, CapSys - Systems Medicine of Community Acquired Pneumonia, LHA - Leipzig Health Atlas, LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, LIFE Child, GLA - German Lymphoma Alliance, MMML-MYC-SYS, HNPCC-Sys - Genomic and transcriptomic heterogeneity of colorectal tumours arising in Lynch syndrome, MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, CAPSys - Footprints of Sepsis Framed Within Community Acquired Pneumonia in the Blood Transcriptome, HaematoOpt - Individualized model-based managing of the next-cycle thrombopenia of CHOEP/CHOP treated patients based on platelets dynamics during the previous cycles, MMML - Molecular mechanisms in malignant lymphoma, GC-HNPCC - German Consortium for Hereditary Non-Polyposis Colorectal Cancer, GC-HBOC - German Consortium for Hereditary Breast and Ovarian Cancer, NLP4CR - Natural Language Processing for Clinical Research, LIFE Heart, ProstataCA, SepNet - German Competence Network Sepsis, Genetical Statistics and Systems Biology, GGN - German Glioma Network, COVID-19 Leipzig, SMITH - Smart Medical Information Technology for Healthcare, Management of health information systems, LivSys Transfer - Transfer of the LivSys in vitro system for hepatotoxicity into application, Project Test Demonstrator
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
https://orcid.org/0000-0001-8344-0658
The medical informatics initiative was created to close the gap between research and healthcare. All of Germany’s university hospitals have joined forces with research institutions, businesses, health insurers, and patient advocacy groups to create a framework that harnesses research findings to the direct benefit of patients. The German Federal Ministry of Education and Research (BMBF) is investing around 160 million euros in the programme through 2021. The digitisation of medicine is creating ...
Projects: SMITH - Smart Medical Information Technology for Healthcare, POLAR - Polypharmacy, Drug Interactions, Risks
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
