The aim of the medical informatics initiative is to ensure that, in future, each doctor, patient and researcher has access to the information they require – while simultaneously allowing individuals to maintain control over their personal data.
This will lead to more precise diagnostics, and better treatment decisions. It will yield new insights for research and medicine. And it will improve patient care and help combat diseases more effectively. Specifically, the initiative is about harnessing the flood of data generated every single day in healthcare and research environments – to the benefit of individual patients, to better understand illnesses, and to tailor treatments to the needs of the individual.
The goal is to establish a way to exchange research and care data across university hospitals. If it proves successful – with the help of funding from BMBF – it will open up entirely new horizons. The solutions that will be developed are expected to create added value across the health system.
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 new opportunities for patient care and research; BMBF launched its medical informatics initiative to make the most of this transformation. In the initiative’s first phase, university hospitals and partner organisations will establish and link data integration centres. These centres will allow research and healthcare data to be aggregated and integrated across multiple entities and sites. At the same time, innovative IT solutions for specific medical applications will be developed to demonstrate the benefits of high-tech digital healthcare services and infrastructures.
Participating university hospitals and their partners have formed consortia. These are tasked with developing strategies for shared data use and exchange. They will subsequently establish the data integration centres, and create IT solutions for concrete use cases.
These activities are coordinated by a national steering committee (NSG), to ensure the interoperability of IT systems and data integration centres between the consortia. In addition, a dedicated coordination office supports cross-consortia collaboration. This office is managed jointly by TMF – Technology, Methods and Infrastructure for Networked Medical Research, MFT (Medizinischer Fakultätentag – an association of German medical faculties), and VUD (Verband der Universtitätsklinika Deutschlands, which represents 33 university hospitals in Germany).
Web page: https://www.medizininformatik-initiative.de/en
Funding codes:- BMBF
Related items
- Projects (2)
- Institutions (23)
- Investigations (2)
- Studies (4)
- Resources (8)
- Publications (35)
- Data files (14)
- Presentations (1)
- People (51)
- Events (1)
Programme: MII - Medical Informatics Initiative
Public web page: https://www.smith.care/
Start date: 1st Jan 2018
Organisms: Homo sapiens
The aim of the project is to use methods and processes of the Medical Informatics Initiative (MII) to contribute to the detection of health risks in patients with polypharmacy. Polypharmacy occurs especially in elderly patients with multimorbidity. Polypharmacy associated with an increased risk for medication errors and drug-drug or drug-disease interactions, which either reduce or intensify the desired effect of individual active substances or lead to undesired adverse drug effects (ADE). In the ...
Programme: MII - Medical Informatics Initiative
Public web page: https://www.medizininformatik-initiative.de/en/POLAR
Organisms: Homo sapiens
Allgemeine Testdaten POLAR
Submitter: Frank A. Meineke
Studies: FHIR Testdata
Resources: FHIR Testdata UKB, FHIR Testdata UKE, FHIR Testdata UKFAU, FHIR Testdata UKFR, FHIR Testdata UKSH
Snapshots: No snapshots
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
Snapshots: No snapshots
Die Testdaten
- sind von klinischen Experten frei erfunden (manuell, synthetisch) und haben keinen Bezug zu realen Personen
- sind über ein an der Universität Leipzig entwickeltes Werkzeug aus Zuarbeiten verschiedener Expertengruppen aus einem MS Excel Format heraus erzeugt worden
- stehen in der Form als HL7® FHIR® Bundles im json Format zur freien Verwendung;
- sind für die direkte Übernahme in einen FHIR Server geeignet
- entsprechen weitestgehend dem Kerndatensatz der MII zum Stand 9.11.2020 ...
Submitter: Frank A. Meineke
Investigation: Testdata
Resources: FHIR Testdata UKB, FHIR Testdata UKE, FHIR Testdata UKFAU, FHIR Testdata UKFR, FHIR Testdata UKSH
Study type: Not specified
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 ...
Submitter: Christoph Beger
Investigation: Ontology-based Phenotyping
Resources: PhenoMan Evaluation - Synthetic FHIR Data
Study type: Not specified
Snapshots: No snapshots
Submitter: Alexandr Uciteli
Investigation: Ontology-based Phenotyping
Resources: Basic Eligibility Criteria of an Example Blood Pressure Study
Study type: Not specified
Snapshots: No snapshots
Submitter: Alexandr Uciteli
Investigation: Ontology-based Phenotyping
Resources: Ontological Modelling of T2DM Phenotype using Phenotype Manager (PhenoMan)
Study type: Not specified
Snapshots: No snapshots
Autoren bzw. Ansprechpartner für diesen Datensatz sind: Universitätsklinikum Schleswig-Holstein, Campus Kiel: Prof. Ingolf Cascorbi, Dr. Ruwen Böhm, Felix Rottmann, Dr. Claudia Bulin
Submitter: Frank A. Meineke
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Testdata
Study: FHIR Testdata
Human Diseases: No human diseases
SOPs: No SOPs
Data files: FHIR Testdata UKSH
Snapshots: No snapshots
Autoren bzw. Ansprechpartner für diesen Datensatz sind: Universität Erlangen-Nürnberg: Prof. Fromm, Prof. Maas, Pauline Dürr, Melanie Then, Wahram Andrikyan
Submitter: Frank A. Meineke
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Testdata
Study: FHIR Testdata
Human Diseases: No human diseases
SOPs: No SOPs
Data files: FHIR Testdata UKFAU
Snapshots: No snapshots
Autoren bzw. Ansprechpartner für diesen Datensatz sind: Universität Freiburg: Thomas Maulhardt, Prof. Martin Boeker
Submitter: Frank A. Meineke
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Testdata
Study: FHIR Testdata
Human Diseases: No human diseases
SOPs: No SOPs
Data files: FHIR Testdata UKFR
Snapshots: No snapshots
Autoren bzw. Ansprechpartner für diesen Datensatz sind: Universität Bonn: Anna Böhmer, Prof. Ulrich Jaehde Universitätsklinikum Bonn: Katharina Karsten Dafonte, Dr. med. Martin Coenen, Prof. Hartmann Bonn: Fr. Karsten Dafonte, Dr. med. Coenen, Prof. Hartmann
Submitter: Frank A. Meineke
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Testdata
Study: FHIR Testdata
Human Diseases: No human diseases
SOPs: No SOPs
Data files: FHIR Testdata UKB
Snapshots: No snapshots
Autoren bzw. Ansprechpartner für diesen Datensatz sind: Universitätsklinikum Hamburg-Eppendorf: Dr. Jan Gewehr, Dr. Friederike Salman, Yvonne Lemke, Norman Freier, Dr. Steffen Härterich
Submitter: Frank A. Meineke
Resource type: Experimental Assay Type
Technology type: Technology Type
Investigation: Testdata
Study: FHIR Testdata
Human Diseases: No human diseases
SOPs: No SOPs
Data files: FHIR Testdata UKE
Snapshots: No snapshots
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
Human Diseases: asthma, bronchial disease, hypertension, obesity
SOPs: No SOPs
Data files: PhenoMan Evaluation - AllergyIntolerance FHIR R..., PhenoMan Evaluation - Condition FHIR Resources, PhenoMan Evaluation - Observation FHIR Resources, PhenoMan Evaluation - Patient FHIR Resources
Snapshots: No snapshots
Submitter: Alexandr Uciteli
Biological problem addressed: Model Analysis Type
Investigation: Ontology-based Phenotyping
Human Diseases: No human diseases
Models: No Models
SOPs: No SOPs
Data files: Eligibility Criteria Ontology for an Example Bl...
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
Investigation: Ontology-based Phenotyping
Human Diseases: diabetes mellitus
Models: No Models
SOPs: No SOPs
Data files: T2DM Case 1 Reasoner Report, T2DM Case 2 Reasoner Report, T2DM Case 3 Reasoner Report, T2DM Case 4 Reasoner Report, T2DM Case 5 Reasoner Report, T2DM Graphical Representation, T2DM Ontology, T2DM Tabular Representation
Snapshots: No snapshots
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
PubMed ID: 34042877
Citation: Stud Health Technol Inform. 2021 May 24;278:66-74. doi: 10.3233/SHTI210052.
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
DOI: 10.3205/mibe000219
Citation: Uciteli A, Beger C, Wagner J, Kirsten T, Meineke FA, Staubert S, Lobe M, Herre H: Ontological modelling and FHIR Search based representation of basic eligibility criteria. GMS Med Inform Biom Epidemiol 2021;17(2):Doc05.
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
DOI: 10.3205/mibe000220
Citation:
Abstract (Expand)
Authors: A. Uciteli, C. Beger, T. Kirsten, F. A. Meineke, H. Herre
Date Published: 21st Dec 2020
Publication Type: Journal article
PubMed ID: 33349245
Citation: J Biomed Semantics. 2020 Dec 21;11(1):15. doi: 10.1186/s13326-020-00230-0.
Abstract
Authors: Udo Hahn, Michel Oleynik
Date Published: 21st Aug 2020
Publication Type: Journal article
Citation: Yearb Med Inform 29(01):208-220
Abstract
Authors: Miriam Kesselmeier, Norbert Benda, André Scherag
Date Published: 14th Aug 2020
Publication Type: Journal article
DOI: 10.1371/journal.pone.0237441
Citation: PLoS ONE 15(8):e0237441
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
Citation: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval,pp.459-468,ACM
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
Citation:
Abstract (Expand)
Authors: M. Lobe, F. Matthies, S. Staubert, F. A. Meineke, A. Winter
Date Published: 16th Jun 2020
Publication Type: Journal article
PubMed ID: 32570413
Citation: Stud Health Technol Inform. 2020 Jun 16;270:392-396. doi: 10.3233/SHTI200189.
Abstract (Expand)
Authors: C. Lohr, L. Modersohn, J. Hellrich, T. Kolditz, U. Hahn
Date Published: 16th Jun 2020
Publication Type: Journal article
PubMed ID: 32570340
Citation: Stud Health Technol Inform. 2020 Jun 16;270:28-32. doi: 10.3233/SHTI200116.
HL7® FHIR® Ressourcen im JSON Format
HL7® FHIR® Ressourcen im JSON Format
HL7® FHIR® Ressourcen im JSON Format
HL7® FHIR® Ressourcen im JSON Format
HL7® FHIR® Ressourcen im JSON Format
T2DM Phenotype Algorithm Specification Ontology (PASO) developed using PhenoMan
Investigations: Ontology-based Phenotyping
Studies: Ontological Modelling of Type 2 Diabetes Mellit...
Resources: Ontological Modelling of T2DM Phenotype using P...
The tabular representation of the T2DM phenotype algorithm generated by PhenoMan using the T2DM ontology
Investigations: Ontology-based Phenotyping
Studies: Ontological Modelling of Type 2 Diabetes Mellit...
Resources: Ontological Modelling of T2DM Phenotype using P...
Investigations: Ontology-based Phenotyping
Studies: Ontological Modelling of Basic Eligibility Crit...
Resources: Basic Eligibility Criteria of an Example Blood ...
Example Reasoner Report generated by PhenoMan
Investigations: Ontology-based Phenotyping
Studies: Ontological Modelling of Type 2 Diabetes Mellit...
Resources: Ontological Modelling of T2DM Phenotype using P...
Example Reasoner Report generated by PhenoMan
Investigations: Ontology-based Phenotyping
Studies: Ontological Modelling of Type 2 Diabetes Mellit...
Resources: Ontological Modelling of T2DM Phenotype using P...
Presentation on JOWO/ODLS 2019 in Graz
Creators: Alexandr Uciteli, Christoph Beger
Submitter: Christoph Beger
Projects: SMITH - Smart Medical Information Technology for Healthcare, POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Universitätsklinikum Jena

Expertise: data sharing, Interoperability, data integration, medical informatics
Tools: fhir, IHE, HL7, 3LGM² Tool
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: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Friedrich-Alexander Universität Erlangen-Nürnberg
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

Expertise: data integration, ruby, r, java, perl
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: University Medical Center Schleswig-Holstein
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: University Medical Center Schleswig-Holstein
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Universität Bonn
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: University Medical Center Schleswig-Holstein
Projects: POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Universitätsklinikum Bonn, AöR
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