README.md

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].