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Awesome

Awesome MII

If you are member in an MII project and are interested what the others are doing, what solutions are developed and where to find support, you are spot-on.

If you just started working in a medical data integration center of a German University Hospital, check the MII Quickstart Guide.

Categories

Health Data standards
Health Data exchange
Medical device regulations
Data Protection & consent
Mobile apps
Tool Collections
Projects

Topics of Interest

Health Data standards

Type Name Description Contact Link/Material
Specification MII core data set Consented for exchange within the MII MII Working group Interoperability MII-CDS-Specification in Simplifier, Basis modules of the MII core data set
Specification Medical Information Objects Standard for German electronic Health Record KBV-MIO, in German MIO-Specification in Simplifier
Working group (MII) Interoperability Platform for agreeing amongst consortia the basis for ensuring interoperability between the proposed data integration centres. Created the MII core data set. Prof. Dr. Sylvia Thun, Prof. Dr. Thomas Ganslandt https://www.medizininformatik-initiative.de/en/collaboration/interoperability-working-group#

Health Data exchange

Type Name Description Contact Link/Material
Data platform Deutsches Forschungs-datenportal für Gesundheit Central point to request data from MII locations [email protected] https://www.forschen-fuer-gesundheit.de
Working group (MII) Data sharing Developing a legally robust framework for data access and usage within the scope of the Medical Informatics Initiative. Prof. Dr. Oliver Kohlbacher, Prof. Dr. Toralf Kirsten https://www.medizininformatik-initiative.de/en/collaboration/data-sharing-working-group
Working group (MII) External data Establishes the administrative and organizational framework for incorporating and linking data from external sources such as health insurance companies, registries, and other data-centric initiatives. Prof. Dr. Wolfgang Hoffmann, Prof. Dr. Martin Sedlmayr https://www.medizininformatik-initiative.de/en/collaboration/external-data-working-group

Medical device regulations

Type Name Description Contact Link/Material
Project fit4Translation Competence development and support for the development of medical software under the regulatory framework Dr. Myriam Lipprandt, Prof. Dr. Sven Zenker, Prof. Dr. Julian Varghese https://www.gesundheitsforschung-bmbf.de/de/fit4translation-kompetenzerweiterung-und-unterstutzung-bei-der-entwicklung-von-16907.php
Database DMIDS public database Public database of medical devices in Germany / https://www.bfarm.de/DE/Medizinprodukte/Aufgaben/DMIDS/_node.html
Working group (TMF) The Medical Software and Medical Device Law Working Group develops tools to support the quality and safety of medical technology research within the framework of current regulations. Jordanka Kostova https://www.tmf-ev.de/unsere-arbeit/arbeitsgruppen/arbeitsgruppe-medizinische-software-und-medizinprodukterecht

Data Protection & consent

Type Name Description Contact Link/Material
Patient consent MII sample patient consent All University Medical Center locations have agreed on a standardized, consent-based approach for patients to allow the reuse of their clinical data, with input from various stakeholders and approval from data protection authorities. / Website with consent forms in different languages
Template Template risk documenting Template for documenting risk and protection needs analyses of data protection impact assessments according to Art. 35 GDPR in medical research. Dr. Knut Kaulke Direct Download, Website
Working group (MII) Consent Focuses on the design of the consent declaration signed by patients to allow healthcare data to be used in future medical research. Prof. Dr. Sven Zenker, Prof. Dr. Dr. Daniel Strech https://www.medizininformatik-initiative.de/en/collaboration/consent-working-group
Working group (TMF) Data protection The Data Protection Working Group has the task of advising research consortia and projects on data protection issues, in particular on the preparation of data protection concepts. Dr. Johannes Drepper https://www.tmf-ev.de/unsere-arbeit/arbeitsgruppen/arbeitsgruppe-datenschutz

Mobile apps

Type Name Description Contact Link/Material
Open Source App-Framework Compass-App non-MDR web-app and native app with questionaire editor. NUM-Compass Project Repositories on github

Tools Collections

Type Name Description Contact Link/Material
Database TMF ToolPool Annotated database of useful tools in health sciences and health care. Editorial office https://www.toolpool-gesundheitsforschung.de/
Working group (TMF) IT-Infrastructure and quality management The aim of the working group is to support the work processes in medical research projects and to ensure the quality of the processes and results. Dr. Knut Kaulke https://www.tmf-ev.de/unsere-arbeit/arbeitsgruppen/arbeitsgruppe-it-infrastruktur-und-qualitaetsmanagement

Projects

Topic Name Description Contact Link/Material
Data standard ACRIBiS Specification for cardiovascular data to improve cardiovascular risk stratification and prediction. Prof. Dr. Dagmar Krefting https://www.highmed.org/en/acribis
Data standard CAEHR Specification for cardiovascular data in emergency, rehabilitation & outpatient care. Prof. Dr. Dagmar Krefting Website, OpenEHR-Templates in HighMed Clinical Knowledge Manager
Data standard EyeMatics Use of a harmonised core data set for ophthalmic data Prof. Dr. Nicole Eter, Prof. Dr. Julian Varghese, Prof. Dr. Andreas Stahl https://www.highmed.org/en/eyematics
Data standard PCOR-MII The aim is to establish the digital recording of patient related outcomes in clinics and to integrate them into the national core data set of the MII Prof. Dr. Matthias Rose, Prof Dr. Fabian Prasser https://www.highmed.org/en/pcor-mii
Data standard PM4Onco Harmonise and merge data from oncology centres and regional providers Prof. Dr. Dr. Börries https://www.gesundheitsforschung-bmbf.de/de/pm4onco-daten-besser-nutzbar-machen-krebserkrankungen-wirkungsvoller-behandeln-16626.php
Data standard PrivateAIM Development of a federated platform for machine learning and data analytics in medicine combining advanced data federation methods and innovative privacy-preserving technologies. Prof. Dr. Oliver Kohlbacher https://www.gesundheitsforschung-bmbf.de/de/privateaim-medizininformatik-plattform-privatspharen-schutzende-analytik-in-der-medizin-16491.php
Data standard SU-TermServ Development and administration of a central terminology server for the MII and the University Medicine Network Prof. Dr. Josef Ingenerf https://mii-termserv.de/
Data exchange DSF Medical IT Structur Data Sharing Framework Community: The network coordinates the digital exchange of research data from a wide range of partners in medicine. Prof. Dr. Christian Fegeler https://www.gesundheitsforschung-bmbf.de/de/dsf-medizininformatik-struktur-data-sharing-framework-community-16133.php
Data exchange TRANSIT Medical IT structure, Development of a data management unit (DMU). DMU provides essential services for scientists in their role as data consumers. Marcel Klötgen https://www.gesundheitsforschung-bmbf.de/de/transit-medizininformatik-struktur-data-management-unit-16148.php
Data exchange MiHUBx Establishment of a data integration centre at a non-university location Prof. Dr. Martin Sedlmayr https://mihubx.de/
Image Processing CALM-QE Integrating imaging data into the treatment of patients with asthma and COPD. Prof. Dr. Anna-Maria Dittrich, Dr. Matthias Gietzelt
Artificial intelligence CALM-QE Predicting disease (asthma and COPD) development with AI Prof. Dr. Anna-Maria Dittrich, Dr. Matthias Gietzelt https://www.gesundheitsforschung-bmbf.de/de/calm-qe-medizininformatik-use-case-copd-und-asthma-longitudinale-und-sektorubergreifende-16644.php
Artificial intelligence DECIDE AI-based decision support system for ophthalmologists for the treatment of diabetic eye diseases Dr. Torsten Panholzer https://www.gesundheitsforschung-bmbf.de/de/decide-versorgungsqualitat-in-landlichen-regionen-verbessern-13024.php
Artificial intelligence DISTANCE Artificial intelligence for risk analyses after intensive medical treatment Prof. Dr. Gernot Marx https://www.gesundheitsforschung-bmbf.de/de/distance-krankheitsverlaufe-nach-intensivmedizinischer-betreuung-besser-vorhersagen-13021.php
Artificial intelligence EyeMatics Identify new characteristic features of eye diseases and to examine their course during IVOM therapy using AI Prof. Dr. Nicole Eter, Prof. Dr. Julian Varghese, Prof. Dr. Andreas Stahl https://www.highmed.org/en/eyematics
Artificial intelligence GeMTeX Extract useful information from unstructured medical text (such as doctors' letters and reports) to assist doctors and researchers in their work using natural language processing Prof. Dr. Martin Boeker, Prof. Dr. Markus Löffler https://www.medizininformatik-initiative.de/en/gemtex-automated-indexing-medical-texts-research
Artificial intelligence MiHUBx AI-based decision support system for ophthalmologists to treat patients with diabetic eye diseases Prof. Dr. Martin Sedlmayr https://mihubx.de/
Artificial intelligence OMI Development of a method platform to simplify the use of artificial intelligence applications so that time-consuming and repetitive tasks in medicine are carried out using AI methods in the future. Prof. Dr. Felix Nensa https://www.gesundheitsforschung-bmbf.de/de/omi-medizininformatik-plattform-open-medical-inference-16916.php
Artificial intelligence Somnolink Better understanding of the individual causes of obstructive sleep apnoea using artificial intelligence. Prof. Dr. Dagmar Krefting https://www.medizininformatik-initiative.de/en/node/791
Mobile apps DECIDE App for monitoring the sports therapy of cancer patients. Dr. Torsten Panholzer https://www.gesundheitsforschung-bmbf.de/de/decide-versorgungsqualitat-in-landlichen-regionen-verbessern-13024.php
Mobile apps DISTANCE App that allows patients to send information to their attending physicians after leaving intensive care and to keep track of their own therapy progress. Prof. Dr. Gernot Marx https://www.gesundheitsforschung-bmbf.de/de/distance-krankheitsverlaufe-nach-intensivmedizinischer-betreuung-besser-vorhersagen-13021.php
Mobile apps HELP App that helps clinicians in regular and intensive care units decide what to do next. Prof. Dr. André Scherag HELP Website
Mobile apps MiHUBx App to involve patients in their cancer therapy. Prof. Dr. Martin Sedlmayr https://mihubx.de/
Interpolar The project aims to reduce medication problems and drug interactions in older individuals through IT solutions for risk identification and targeted interventions in hospitals. [email protected] https://www.smith.care/de/interpolar_mii/interpolar/
Training & education BaseTraCE Basic Services for training and continuous education within the Medical Informatics Initiative. The aim is using a sustaibable and flexible plattform to ensure that the education-related developements and information structures created within the consortia are maintained and made available to the entire MII community. Prof. Dr. Dagmar Krefting https://www.gesundheitsforschung-bmbf.de/de/basetrace-medizininformatik-struktur-basisdienstleistungen-fur-die-aus-und-weiterbildung-16899.php
Training & education EVA4MII Establishing an infrastructure to support evaluation research based on routinely collected clinical data within the MII. Prof. Dr. Peter Heuschmann https://www.med.uni-wuerzburg.de/epidemiologie/forschung/projekte/medizininformatik/eva4mii/

Disclaimer

Note that all information about the projects, specifications, etc. is based only on publicly available sources. If you are working on one of the listed projects and your project has been misrepresented or is missing in a category, please feel free to contact [email protected].

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