Sebastian Stäubert

About Sebastian Stäubert:

I am a research associate at IMISE, Universität Leipzig.

LHA ID: 7WDQPT9398-7

Location:  Germany

ORCID: https://orcid.org/0000-0002-7221-7415

Joined: 29th Jul 2020

Expertise: Modeling Information System Architecture, Consent Management, Data Management, medical informatics

Tools: Modeling Information System Architecture, Linux, 3LGM² Tool

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3LGM² Enterprise Architecture Modeling
No description specified

Programme: Management von Gesundheitsinformationssystemen (MaGIS)

Public web page: https://www.3lgm2.de/

MI-Lab

Open-Science-Lehrmaterialien für die Medizininformatik basierend auf Werkzeugen und Diensten von NFDI4Health

Programme: Science with and for Society (SwafS) in Horizon 2020

Public web page: https://github.com/IMISE/MI-Lab

SMITH - Smart Medical Information Technology for Healthcare

Medical data routinely generated in everyday clinical practice is processed and made available to medical research in a standardized form. Patients benefit from reliable research results, more precise diagnoses and better treatments. In order to link data from care and research, the participating university hospitals in Aachen, Bonn, Essen, Halle, Hamburg, Jena and Leipzig have established sustainable Data Integration Centers. The network partners Ruhr University Bochum, the Düsseldorf University ...

Programme: MII - Medical Informatics Initiative

Public web page: https://www.smith.care/

Start date: 1st Jan 2018

NLP4CR - Natural Language Processing for Clinical Research

The NLP4CR project was initiated as part of Colleen Goldberg's master thesis. Medical information is not always available in a structured form, but as free text documentation. NLP techniques make it possible to analyse, annotate and extract these free texts. In this way, medical data can be made accessible for machine processing and for clinical research.

Programme: This Project is not associated with a Programme

Public web page: http://www.imise.uni-leipzig.de/Gruppen/MIG

Start date: 1st Jan 2015

3LGM²
3LGM² Enterprise Architecture Modeling

Drei-Ebenen-Meta-Modell zur Beschreibung, Bewertung und Planung von Informationssystemen im Gesundheitswesen. Homepage: https://www.3lgm2.de/

Submitter: Sebastian Stäubert

Studies: 3-Ebenen Metamodell, 3LGM² Tool

Resources: Software

3LGM2IHE - Planungsunterstützung für interoperable Informationssysteme in der klinischen Forschung
3LGM² Enterprise Architecture Modeling

Die Möglichkeiten zur Modellierung von Informationssystemarchitekturen durch die 3LGM² Methode und mit Hilfe des 3LGM² Tools wurde mit diesem Vorhaben erweitert, sodass IHE (Integrating the Healthcare Enterprise) Profile, Akteure und Transaktionen genutzt werden können. Es wurden weitere Fortschritte erziehlt, u.a.:

  • Template Browser für Entwurfsmuster (Profil- und Modell-Template), z.B.:
  • IHE Profile
  • Archivierung von Krankenakten (AKU-IHE)
  • Datenintegrationszentrum (DIZ)
  • Biobank
  • TMF ...

Submitter: Sebastian Stäubert

Studies: No Studies

Resources: No Resources

MI-Lab Lerneinheiten
MI-Lab
No description specified

Submitter: Matthias Löbe

Studies: Lisa's liver tumor study, MI-Lab Übung 01 Annotierung, MI-Lab Übung 02 CSV-to-FHIR, MI-Lab Übung 03 Privacy, MI-Lab Übung 04 Local Data Hub, MI-Lab Übung 05 Datenanalyse, MI-Lab Übung 06 Datenqualitätsanalysen

Resources: Lisa's liver tumor dataset, MIMIC-IV Demo (Teilmenge in FHIR)

EHDS in 3LGM²
3LGM² Enterprise Architecture Modeling
No description specified

Submitter: Matthias Löbe

Studies: The European Health Data Space (EHDS) as 3LGM²-based enterprise architec...

Resources: model files, screenshots

FAIR4Health Information Architecture
FAIR4Health

Ressource related to the information architecture subsuming the central FAIR4Health Platform and the local FAIR4Health agents.

Submitter: Matthias Löbe

Studies: 3LGM² model for FAIR4Health

Resources: 3LGM² local model DIC Leipzig, 3LGM² model survey, 3LGM² reference model, Diagram inter-level relationships

3-Ebenen Metamodell
3LGM² Enterprise Architecture Modeling
No description specified

Submitter: Sebastian Stäubert

Investigation: 3LGM²

Resources: No Resources

Study type: Not specified

3LGM² Tool
3LGM² Enterprise Architecture Modeling

The model can be opened with the 3LGM² - Three-layer Graph-based meta modelling tool, a software to support the modelling of information systems in health care in strategic information management. See also the product page in ToolPool Gesundheitsforschung (in German).

Submitter: Sebastian Stäubert

Investigation: 3LGM²

Resources: Software

Study type: Not specified

The European Health Data Space (EHDS) as 3LGM²-based enterprise architecture model
3LGM² Enterprise Architecture Modeling

The model can be opened with the 3LGM² - Three-layer Graph-based meta modelling tool, a software to support the modelling of information systems in health care in strategic information management. See also the product page in ToolPool Gesundheitsforschung (in German).

Submitter: Matthias Löbe

Investigation: EHDS in 3LGM²

Resources: model files, screenshots

Study type: Not specified

MI-Lab Übung 05 Datenanalyse
MI-Lab

Analysen medizinischer Datensätze

Datenanalysen sind das Herzstück datengetriebener Wissenschaft. Sie dienen einerseits zum Testen eigener Forschungshypothesen und andererseits zur Überprüfung publizierter Ergebnisse. Ziel der Übung ist es, Studierende mit Inhalten und Werkzeugen für die Durchführung einzelner Analysen vertraut zu machen. Dazu sollen mehrere aufeinander aufbauende Abfragen mit steigendem Schwierigkeitsgrad auf einen medizinischen Datensatz vorbereitet und die Ergebnisse ...

Submitter: Matthias Löbe

Investigation: MI-Lab Lerneinheiten

Resources: No Resources

Study type: Not specified

MI-Lab Übung 03 Privacy
MI-Lab

Pseudonymisierung und Anonymisierung personenbezogener Daten

Medizinische Daten sind personenbezogene Daten und können auch beim Vorliegen der Rechtsgrundlagen aus Gründen des Datenschutzes und der Datensparsamkeit nicht vollumfänglich mit Dritten geteilt werden. Gleichzeitig verpflichten neue Verordnungen wie das Gesundheitsdatennutzungsgesetz Forscher, Daten unter bestimmten Bedingungen zu anonymisieren. Die Übung soll den Studierenden an einem praktischen Datensatz den Unterschied zwischen ...

Submitter: Matthias Löbe

Investigation: MI-Lab Lerneinheiten

Resources: No Resources

Study type: Not specified

Software
3LGM² Enterprise Architecture Modeling

The model can be opened with the 3LGM² - Three-layer Graph-based meta modelling tool, a software to support the modelling of information systems in health care in strategic information management. See also the product page in ToolPool Gesundheitsforschung (in German).

Submitter: Sebastian Stäubert

Resource type: Experimental Assay Type

Technology type: Technology Type

Investigation: 3LGM²

Study: 3LGM² Tool

The European Health Data Space as 3LGM2-Based Enterprise Architecture Model.
3LGM² Enterprise Architecture Modeling

Abstract (Expand)

The European Health Data Space (EHDS) Regulation assigns rights and obligations to the stakeholders of health information logistics across Europe. This implies specific requirements for the architecture … of a European health information system. Since enterprise architecture models (EAM) effectively support the development of such information systems, we present an EAM based on the three-layer graph-based metamodel (3LGMs). The EHDS 3LGMs model describes the tasks of the stakeholders, the data to be processed and the necessary application systems and services for primary and secondary use of data. The model is freely available together with the 3LGMs tool.

Authors: A. Winter, F. Jahn, M. Lobe, S. Staubert

Date Published: 15th May 2025

Publication Type: Journal article

Modeling the Application of IHE QRPH Profiles in Data Integration Centers: A Practical Approach with 3LGM2.
3LGM² Enterprise Architecture Modeling

Abstract (Expand)

The Data Integration Centers (DICs), all part of the German Medical Informatics Initiative (MII), prepare routine care data captured in university hospitals to enable its reuse in clinical research. … Tackling this challenging task requires them to maintain multiple data stores, implement the necessary transformation processes, and provide the required terminology services, all while also addressing the use case specific needs researchers might have. An MII wide application of the standardized profiles defined in the IHE QRPH domain might therefore be able to drastically reduce the overhead at any one DIC. The MII DIC reference model built in 3LGM2, a method to describe complex information system architectures, serves as a starting point to evaluate whether such an application is possible. We first extend the IHE modeling capabilities of 3LGM2 to also support the five profiles from the QRPH domain that our experts evaluated as relevant in the MII DIC context. We then expand the DIC reference model by some IHE QRPH actors and transactions, showing that their application could be beneficial in the MII DIC context, provided they surpass their trial status.

Authors: C. Draeger, S. Staubert, A. Kuntz, C. Henke, A. Winter, U. Sax, M. Lobe

Date Published: 20th Oct 2023

Publication Type: Journal article

A FHIR has been lit on gICS: facilitating the standardised exchange of informed consent in a large network of university medicine
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

BACKGROUND: The Federal Ministry of Education and Research of Germany (BMBF) funds a network of university medicines (NUM) to support COVID-19 and pandemic research at national level. The “COVID-19 … Data Exchange Platform” (CODEX) as part of NUM establishes a harmonised infrastructure that supports research use of COVID-19 datasets. The broad consent (BC) of the Medical Informatics Initiative (MII) is agreed by all German federal states and forms the legal base for data processing. All 34 participating university hospitals (NUM sites) work upon a harmonised infrastructural as well as legal basis for their data protection-compliant collection and transfer of their research dataset to the central CODEX platform. Each NUM site ensures that the exchanged consent information conforms to the already-balloted HL7 FHIR consent profiles and the interoperability concept of the MII Task Force “Consent Implementation” (TFCI). The Independent Trusted Third-Party (TTP) of the University Medicine Greifswald supports data protection-compliant data processing and provides the consent management solutions gICS. METHODS: Based on a stakeholder dialogue a required set of FHIR-functionalities was identified and technically specified supported by official FHIR experts. Next, a “TTP-FHIR Gateway” for the HL7 FHIR-compliant exchange of consent information using gICS was implemented. A last step included external integration tests and the development of a pre-configured consent template for the BC for the NUM sites. RESULTS: A FHIR-compliant gICS-release and a corresponding consent template for the BC were provided to all NUM sites in June 2021. All FHIR functionalities comply with the already-balloted FHIR consent profiles of the HL7 Working Group Consent Management. The consent template simplifies the technical BC rollout and the corresponding implementation of the TFCI interoperability concept at the NUM sites. CONCLUSIONS: This article shows that a HL7 FHIR-compliant and interoperable nationwide exchange of consent information could be built using of the consent management software gICS and the provided TTP-FHIR Gateway. The initial functional scope of the solution covers the requirements identified in the NUM-CODEX setting. The semantic correctness of these functionalities was validated by project-partners from the Ludwig-Maximilian University in Munich. The production rollout of the solution package to all NUM sites has started successfully.

Authors: Martin Bialke, Lars Geidel, Christopher Hampf, Arne Blumentritt, Peter Penndorf, Ronny Schuldt, Frank-Michael Moser, Stefan Lang, Patrick Werner, Sebastian Stäubert, Hauke Hund, Fady Albashiti, Jürgen Gührer, Hans-Ulrich Prokosch, Thomas Bahls, Wolfgang Hoffmann

Date Published: 1st Dec 2022

Publication Type: Journal article

3LGM2IHE: Requirements for Data-Protection-Compliant Research Infrastructures-A Systematic Comparison of Theory and Practice-Oriented Implementation.
3LGM² Enterprise Architecture Modeling

Abstract (Expand)

OBJECTIVES: The TMF (Technology, Methods, and Infrastructure for Networked Medical Research) Data Protection Guide (TMF-DP) makes path-breaking recommendations on the subject of data protection in … research projects. It includes comprehensive requirements for applications such as patient lists, pseudonymization services, and consent management services. Nevertheless, it lacks a structured, categorized list of requirements for simplified application in research projects and systematic evaluation. The 3LGM2IHE ("Three-layer Graphbased meta model - Integrating the Healthcare Enterprise [IHE] " ) project is funded by the German Research Foundation (DFG). 3LGM2IHE aims to define modeling paradigms and implement modeling tools for planning health care information systems. In addition, one of the goals is to create and publish 3LGM(2) information system architecture design patterns (short "design patterns") for the community as design models in terms of a framework. A structured list of data protection-related requirements based on the TMF-DP is a precondition to integrate functions (3LGM(2) Domain Layer) and building blocks (3LGM(2) Logical Tool Layer) in 3LGM(2) design patterns. METHODS: In order to structure the continuous text of the TMF-DP, requirement types were defined in a first step. In a second step, dependencies and delineations of the definitions were identified. In a third step, the requirements from the TMF-DP were systematically extracted. Based on the identified lists of requirements, a fourth step included the comparison of the identified requirements with exemplary open source tools as provided by the "Independent Trusted Third Party of the University Medicine Greifswald" (TTP tools). RESULTS: As a result, four lists of requirements were created, which contain requirements for the "patient list", the "pseudonymization service", and the "consent management", as well as cross-component requirements from the TMF-DP chapter 6 in a structured form. Further to requirements (1), possible variants (2) of implementations (to fulfill a single requirement) and recommendations (3) were identified. A comparison of the requirements lists with the functional scopes of the open source tools E-PIX (record linkage), gPAS (pseudonym management), and gICS (consent management) has shown that these fulfill more than 80% of the requirements. CONCLUSIONS: A structured set of data protection-related requirements facilitates a systematic evaluation of implementations with respect to the fulfillment of the TMF-DP guidelines. These re-usable lists provide a decision aid for the selection of suitable tools for new research projects. As a result, these lists form the basis for the development of data protection-related 3LGM(2) design patterns as part of the 3LGM2IHE project.

Authors: R. Gott, S. Staubert, A. Strubing, A. Winter, A. Merzweiler, B. Bergh, K. Kaulke, T. Bahls, W. Hoffmann, M. Bialke

Date Published: 24th Sep 2022

Publication Type: Journal article

Ontological Modelling and Execution of Phenotypic Queries in the Leipzig Health Atlas.
LHA - Leipzig Health Atlas, Onto-Med Research Group, SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Sharing data is of great importance for research in medical sciences. It is the basis for reproducibility and reuse of already generated outcomes in new projects and in new contexts. FAIR data principles … are the basics for sharing data. The Leipzig Health Atlas (LHA) platform follows these principles and provides data, describing metadata, and models that have been implemented in novel software tools and are available as demonstrators. LHA reuses and extends three different major components that have been previously developed by other projects. The SEEK management platform is the foundation providing a repository for archiving, presenting and secure sharing a wide range of publication results, such as published reports, (bio)medical data as well as interactive models and tools. The LHA Data Portal manages study metadata and data allowing to search for data of interest. Finally, PhenoMan is an ontological framework for phenotype modelling. This paper describes the interrelation of these three components. In particular, we use the PhenoMan to, firstly, model and represent phenotypes within the LHA platform. Then, secondly, the ontological phenotype representation can be used to generate search queries that are executed by the LHA Data Portal. The PhenoMan generates the queries in a novel domain specific query language (SDQL), which is specific for data management systems based on CDISC ODM standard, such as the LHA Data Portal. Our approach was successfully applied to represent phenotypes in the Leipzig Health Atlas with the possibility to execute corresponding queries within the LHA Data Portal.

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

The Process of Modeling Information System Architectures with IHE.
3LGM² Enterprise Architecture Modeling

Abstract (Expand)

IHE has defined more than 200 integration profiles in order to improve the interoperability of application systems in healthcare. These profiles describe how standards should be used in particular use … cases. These profiles are very helpful but their correct use is challenging, if the user is not familiar to the specifications. Therefore, inexperienced modelers of information systems quickly lose track of existing IHE profiles. In addition, the users of these profiles are often not aware of rules that are defined within these profiles and of dependencies that exist between the profiles. There are also modelers that do not notice the differences between the implemented actors, because they do not know the optional capabilities of some actors. The aim of this paper is therefore to describe a concept how modelers of information systems can be supported in the selection and use of IHE profiles and how this concept was prototypically implemented in the "Three-layer Graph-based meta model" modeling tool (3LGM2 Tool). The described modeling process consists of the following steps that can be looped: defining the use case, choosing suitable integration profiles, choosing actors and their options and assigning them to application systems, checking for required actor groupings and modeling transactions. Most of these steps were implemented in the 3LGM2 Tool. Further implementation effort and evaluation of our approach by inexperienced users is needed. But after that our tool should be a valuable tool for modelers planning healthcare information system architectures, in particular those based on IHE.

Authors: A. Merzweiler, S. Staubert, A. Strubing, A. Tonmbiak, K. Kaulke, J. Drepper, B. Bergh, A. Winter

Date Published: 24th May 2021

Publication Type: Journal article

Ontological modelling and execution of phenotypic queries in the Leipzig Health Atlas
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Sharing data is of great importance for research in medical sciences. It is the basis for reproducibility and reuse of already generated outcomes in new projects and in new contexts. FAIR data principles … are the basics for sharing data. The Leipzig Health Atlas (LHA) platform follows these principles and provides data, describing metadata, and models that have been implemented in novel software tools and are available as demonstrators. LHA reuses and extends three different major components that have been previously developed by other projects. The SEEK management platform is the foundation providing a repository for archiving, presenting and secure sharing a wide range of publication results, such as published reports, (bio)medical data as well as interactive models and tools. The LHA Data Portal manages study metadata and data allowing to search for data of interest. Finally, PhenoMan is an ontological framework for phenotype modelling. This paper describes the interrelation of these three components. In particular, we use the PhenoMan to, firstly, model and represent phenotypes within the LHA platform. Then, secondly, the ontological phenotype representation can be used to generate search queries that are executed by the LHA Data Portal. The PhenoMan generates the queries in a novel domain specific query language (SDQL), which is specific for data management systems based on CDISC ODM standard, such as the LHA Data Portal. Our approach was successfully applied to represent phenotypes in the Leipzig Health Atlas with the possibility to execute corresponding queries within the LHA Data Portal.

Authors: Alexandr Uciteli, Christoph Beger, Jonas Wagner, Alexander Kiel, Frank A Meineke, Sebastian Stäubert, Matthias Löbe, René Hänsel, Judith Schuster, Toralf Kirsten, Heinrich Herre

Date Published: 1st May 2021

Publication Type: InCollection

Ontological modelling and FHIR Search based representation of basic eligibility criteria
LHA - Leipzig Health Atlas, Onto-Med Research Group, SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Planning clinical studies to check medical hypotheses requires the specification of eligibility criteria in order to identify potential study participants. Electronically available patient data allows … to support the recruitment of patients for studies. The Smart Medical Information Technology for Healthcare (SMITH) consortium aims to establish data integration centres to enable the innovative use of available healthcare data for research and treatment optimization. The data from the electronic health record of patients in the participating hospitals is integrated into a Health Data Storage based on the Fast Healthcare Interoperability Resources standard (FHIR), developed by HL7. In SMITH, FHIR Search is used to query the integrated data. An investigation has shown the advantages and disadvantages of using FHIR Search for specifying eligibility criteria. This paper presents an approach for modelling eligibility criteria as well as for generating and executing FHIR Search queries. Our solution is based on the Phenotype Manager, a general ontological phenotyping framework to model and calculate phenotypes using the Core Ontology of Phenotypes.

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

Problems in FAIRifying Medical Datasets.
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Despite their young age, the FAIR principles are recognised as important guidelines for research data management. Their generic design, however, leaves much room for interpretation in domain-specific … application. Based on practical experience in the operation of a data repository, this article addresses problems in FAIR provisioning of medical data for research purposes in the use case of the Leipzig Health Atlas project and shows necessary future developments.

Authors: M. Lobe, F. Matthies, S. Staubert, F. A. Meineke, A. Winter

Date Published: 16th Jun 2020

Publication Type: Journal article

Towards a comprehensive and interoperable representation of consent-based data usage permissions in the German medical informatics initiative.
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

BACKGROUND: The aim of the German Medical Informatics Initiative is to establish a national infrastructure for integrating and sharing health data. To this, Data Integration Centers are set up at … university medical centers, which address data harmonization, information security and data protection. To capture patient consent, a common informed consent template has been developed. It consists of different modules addressing permissions for using data and biosamples. On the technical level, a common digital representation of information from signed consent templates is needed. As the partners in the initiative are free to adopt different solutions for managing consent information (e.g. IHE BPPC or HL7 FHIR Consent Resources), we had to develop an interoperability layer. METHODS: First, we compiled an overview of data items required to reflect the information from the MII consent template as well as patient preferences and derived permissions. Next, we created entity-relationship diagrams to formally describe the conceptual data model underlying relevant items. We then compared this data model to conceptual models describing representations of consent information using different interoperability standards. We used the result of this comparison to derive an interoperable representation that can be mapped to common standards. RESULTS: The digital representation needs to capture the following information: (1) version of the consent, (2) consent status for each module, and (3) period of validity of the status. We found that there is no generally accepted solution to represent status information in a manner interoperable with all relevant standards. Hence, we developed a pragmatic solution, comprising codes which describe combinations of modules with a basic set of status labels. We propose to maintain these codes in a public registry called ART-DECOR. We present concrete technical implementations of our approach using HL7 FHIR and IHE BPPC which are also compatible with the open-source consent management software gICS. CONCLUSIONS: The proposed digital representation is (1) generic enough to capture relevant information from a wide range of consent documents and data use regulations and (2) interoperable with common technical standards. We plan to extend our model to include more fine-grained status codes and rules for automated access control.

Authors: R. Bild, M. Bialke, K. Buckow, T. Ganslandt, K. Ihrig, R. Jahns, A. Merzweiler, S. Roschka, B. Schreiweis, S. Staubert, S. Zenker, F. Prasser

Date Published: 5th Jun 2020

Publication Type: Journal article

3LGM² EHDS model file
3LGM² Enterprise Architecture Modeling

...to be opened and analysed by 3LGM² Tool (https://www.3lgm2.de/en/Tool/index.jsp )

Creator: Alfred Winter

Submitters: Sebastian Stäubert, Alfred Winter

Data file type: Not specified

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NLP for Clinical Research Tool
NLP4CR - Natural Language Processing for Clinical Research

Motivation: By using the NLP4CR tool, medical facts (e.g. diagnoses, laboratory values) can be extracted from German medical full texts.

Description: The NLP4CR tool is a prototype that demonstrates the applicability of Apache UIMA and cTakes to medical full texts in German language.

Creators: Sebastian Stäubert, Matthias Löbe, Colleen Goldberg

Submitter: Christoph Beger

Secondary use: domain layer
3LGM² Enterprise Architecture Modeling
No description specified

Creator: Sebastian Stäubert

Submitters: Sebastian Stäubert, Alfred Winter

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Secondary use: logical tool layer
3LGM² Enterprise Architecture Modeling
No description specified

Creator: Sebastian Stäubert

Submitters: Sebastian Stäubert, Alfred Winter

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Primary use: domain layer
3LGM² Enterprise Architecture Modeling
No description specified

Creator: Sebastian Stäubert

Submitter: Sebastian Stäubert

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Primary use: logical tool layer
3LGM² Enterprise Architecture Modeling
No description specified

Creator: Sebastian Stäubert

Submitter: Sebastian Stäubert

Poster: Der Leipzig Health Atlas
LHA - Leipzig Health Atlas

The need to manage research data is recognised by the research community - sponsors, legislators, publishers expect and encourage good scientific practice, which not only includes archiving, but also the availability of research data and results in line with FAIR principles. The publication gives a brief overview of the Leipzig Health Atlas (LHA), which is a project for the presentation and exchange of a wide range of publications, (bio) medical data (e.g. clinical, epidemiological, molecular), ...

Creators: René Hänsel, Matthias Löbe, Sebastian Stäubert, Christoph Beger

Submitter: Christoph Beger

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Abstract: Der Leipzig Health Atlas
LHA - Leipzig Health Atlas

The need to manage research data is recognised by the research community - sponsors, legislators, publishers expect and encourage good scientific practice, which not only includes archiving, but also the availability of research data and results in line with FAIR principles. The publication gives a brief overview of the Leipzig Health Atlas (LHA), which is a project for the presentation and exchange of a wide range of publications, (bio) medical data (e.g. clinical, epidemiological, molecular), ...

Creators: René Hänsel, Matthias Löbe, Sebastian Stäubert, Christoph Beger

Submitter: Christoph Beger

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Management von Gesundheitsinformationssystemen (MaGIS)
No description specified

Projects: Student Theses, 3LGM² Enterprise Architecture Modeling, Inclusion Health Informatics

Web page: Not specified

Science with and for Society (SwafS) in Horizon 2020
No description specified

Projects: MI-Lab, FAIR4Health

Web page: https://ec.europa.eu/programmes/horizon2020/en/h2020-section/science-and-society

MII - Medical Informatics Initiative

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: Methodical Use Case PheP, SMITH - Smart Medical Information Technology for Healthcare, WP 1.5 of POLAR_MI (Polypharmacy, Drug Interactions, Risks) - Development of risk models, POLAR - Polypharmacy, Drug Interactions, Risks

Web page: https://www.medizininformatik-initiative.de/en

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Health Atlas - Local Data Hub/Leipzig

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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