Projects

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. ...

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 ...

Project for testing requests and functions of LHA

Coordinating investigators Prof. Dr. Jan C. Simon Prof. Dr. Regina Treudler Klinik für Dermatologie, Venerologie und Allergologie, Universitätsklinikum Leipzig

Sponsor Universität Leipzig Ritterstr. 26, 04109 Leipzig

EudraCT: 2009-011737-27

Coordinating investigator: Prof. Dr. Florian van Bömmel Sektion Hepatologie, Klinik und Poliklinik für Gastroenterologie und Rheumatologie, Universitätsklinikum Leipzig

Sponsor Universität Leipzig Ritterstr. 26, 04109 Leipzig

EudraCT: 2013-004882-15 DRKS: DRKS00006240

The Leipzig Health Atlas (LHA) 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 in which our team has scientific and clinical expertise.

PheP is a platform that enables clinical researchers to work together with statisticians and computer scientists in interdisciplinary collaboration to pursue scientific issues that previously seemed economically and technologically unthinkable. For this purpose, it is necessary to build data sets that can be used for clinical-epidemiological and health-economic issues.From phenotypes, i.e. determinable characteristics of patients, further characteristics can be derived and provided via phenotyping. ...