Structure and Content

Overview of the Medical Informatics Initiative (MII) and accompanying project networks

In this topic block, you will get an overview of the MII and accompanying project consortia. These other networks include, for example, the Network of University Medicine (NUM) and the National Research Data Infrastructure (NFDI), in particular the NFDI4Health consortium. All of these initiatives aim to process healthcare and study data in Germany and make it accessible in a standardized format in accordance with the FAIR principles (findable, accessible, interoperable, reusable). In addition to the overview module, you will find further links and information on the MII-Academy concept here.

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Basic methods and concepts for conducting data-based medical research projects

This subject area provides you with the tools you need to advance your own research questions and work. In accordance with state legislation, medical staff are permitted to use data collected from patient care at their own hospital for research projects. This course is designed to encourage you to make the best possible use of the organizational and technical infrastructures set up by the Medical Informatics Initiative (MII) at its local Data Integration Centers. The content in the basic level mainly concerns the application process for the required research data, ethical and legal issues, relevant documents and potential support services at medical faculties that can help you carry out your data analysis project.

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Advanced methods of data analysis

After conducting research on and with the data from your own hospital, it is usually time to expand the database to other hospitals. In order to underpin the diversity and variability as well as the statistical significance of the results, the patient cohort to be included should be enlarged. The German Portal for Medical Research Data (FDPG) provides the opportunity to build up a virtual cohort of patient data from different clinics and to use it for different evaluations. The third level of the MII-Academy provides you with the necessary overview of medical terminology. You will learn how the terminologies are used in clinical routine and how you can use them for evaluations. You will also learn how to record additional data on patients, such as image or analog text findings.

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Advanced topics in data preparation and evaluation

Building on the repertoire of knowledge already acquired in the previous subject areas, you will find topics in the specialization level that represent useful alternatives for advanced analyses and research projects. These include distributed data analysis, natural language processing methods for extracting information from (diagnostic) texts and methods for analyzing MRI and CT data.

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Projects and initiatives for data use

In addition to the technical infrastructures and established organizational processes that were developed as part of the Medical Informatics Initiative (MII) and are now being used in the Network of University Medicine (NUM), there are other projects and initiatives. Although these do not reach the size of MII and NUM, they pursue goals that complement and enrich the already established services. The presentation of such further projects is the aim and content of this topic area.

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