Institute for Medical Informatics, Statistics and Epidemiology (IMISE)

There is a variety of libre/free and open-source software (LIFOSS) products for medicine and health care. The Health Information Technology Ontology (HITO) allows describing those products, as well as studies evaluating them, systematically with a defined set of classes and their relationships. With the help of linked or integrated catalogues for languages, programming languages, licenses, features, and enterprise functions, the functionalities of LIFOSS can be precisely described and compared. ...

SNIK is a semantic network of information management in hospitals, which uses Semantic Web standards like RDF and OWL to model and publish the knowledge of three textbooks (Ammenwerth et al., 2014; Heinrich et al., 2014; Winter et al., 2011), the IT4IT (The Open Group, 2017) standard and an interview with a hospital CIO.

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 ...

This project covers the bachelor's and master's theses of the MAGIS working group.

“Inclusion health is a service, research, and policy agenda that aims to prevent and redress health and social inequities among the most vulnerable and excluded populations”. [1] Medical informatics shall help improving care for people pushed to the margins of society. We use the term “Inclusion Health Informatics” to identify this area of multidisciplinary research bringing together expertise from medical informatics, medicine, psychiatry, ethics, social work and other social sciences. Inclusion ...

The group is interested in omic-level studies including the genome, methylome, transcriptome, and metabolome of the general population as well as of various diseases including cardiovascular diseases, pneumonia, sepsis, obesity, and brain cancers. Additionally, we aim at transfering results of biomathematical model simulations into clinical practice e.g. by haematopoietic growth-factor opimization during cytotoxic chemotherapy and optimization of EPO applications in chronic kidney disease.

The ...

The software components of this project are available under "Related Items" > "Models".

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