Core Unit eHealth and Interoperability (CEI)

The increasing availability of digital health data—in hospitals, medical practices, research laboratories, genome databases or mobile health applications—holds great potential for medicine: modern statistical methods, artificial intelligence (AI) and big data analytics promise better diagnostics, personalized therapies and early disease prevention. However, to use these technologies to their full capacity, digital health data have to be processed across different systems and institutions. This requires the use of consistent standards and medical terminologies.

In the core unit "eHealth and Interoperability" headed by Prof. Dr. Sylvia Thun, we develop strategies and concepts for the fast, secure and reliable usage of medical data across different systems. In cooperation with hospitals, research institutions, industry and politics, we develop interoperability solutions using international IT standards and nomenclatures (such as HL7 FHIR and IDMP). Our vision is an interconnected digital health infrastructure that enables new technologies to predict disease more accurately, develop better, personalized treatments, promote active patient participation and ensure high data security.

Publications 2019

Dewey, M., Bosserdt, M., Dodd, J. D., Thun, S., Kressel, H. Y. (2019). Clinical Imaging Research: Higher Evidence, Global Collaboration, Improved Reporting, and Data Sharing Are the Grand Challenges. Radiology291(3), 547–552. https://doi.org/10.1148/radiol.2019181796

Lehne, M., Luijten, S., Vom Felde Genannt Imbusch, P., Thun, S. (2019). The Use of FHIR in Digital Health—A Review of the Scientific Literature. Studies in Health Technology and Informatics267, 52-58. https://doi.org/10.3233/SHTI190805

Lehne, M., Sass, J., Essenwanger, A., Schepers, J., Thun, S. (2019). Why digital medicine depends on interoperability. NPJ Digital Medicine2(79). https://doi.org/10.1038/s41746-019-0158-1

Miñarro-Giménez, J. A., Cornet, R., Jaulent, M. C., Dewenter, H., Thun, S., Gøeg, K. R., Karlsson, D., Schulz, S. (2019). Quantitative analysis of manual annotation of clinical text samples. International Journal of Medical Informatics123, 37–48. https://doi.org/10.1016/j.ijmedinf.2018.12.011

Otten, H., Thun, S., Rathmer, A. (2019). Grundlage des Einkaufs 4.0: Interoperabilität von Supply Chain und Medizin durch valide Stammdaten. Klinik Einkauf01(01), 42–44. https://doi.org/10.1055/s-0036-1595717

Sass, J., Essenwanger, A., Luijten, S., Vom Felde Genannt Imbusch, P., Thun, S. (2019). Standardizing Germany’s Electronic Disease Management Program for Bronchial Asthma. Studies in Health Technology and Informatics267, 81-85. https://doi.org/10.3233/SHTI190809

Sass, J., Lehne, M., Thun, S. (2019). Comparing Two Standardized Value Sets of Infectious Agents: Implications for Semantic Interoperability. Studies in Health Technology and Informatics264, 1574–1575. https://doi.org/10.3233/SHTI190541

Schepers, J., Thun, S. (2019). (Un-)Konzertierte Digitalisierung im Gesundheitswesen – Möglichkeiten und Herausforderungen im Kontext der sozialen Sicherung. Soziale Sicherheit8-9, 318-327.

Thun, S., Lehne, M. (2019). Interoperabilität – Voraussetzung für künstliche Intelligenz und Big Data in der Medizin. E-HEALTH-COM1, 47-49. https://e-health-com.de/details-news/interoperabilitaet-voraussetzung-fuer-kuenstliche-intelligenz-und-big-data-in-der-medizin/

Thun, S., Lehne, M. (2019). Intelligent dank Interoperabilität. das Krankenhaus4, 286-287. https://www.daskrankenhaus.de/de/archive/topic-of-the-month/74