Contact
TU Braunschweig
Peter L. Reichertz Institute for Medical Informatics
Muehlenpfordtstr. 23
Room: IZ 436
38106 Braunschweig
Germany
Phone: +49 (0) 531 / 391 - 9510
Fax: +49 (0) 531 / 391 - 9502
Email: antje.wulff@plri.de
Antje Wulff on ResearchGate
Antje Wulff on Twitter
Research Interests
- Medical data interoperability and modeling
- Clinical Decision-Support Systems (CDSS)
- Clinical Data Repositories
- Secondary use of clinical data
- Knowledge representation, knowledge management and data mining in medicine
Abstract
Antje Wulff completed her degree in Business Information Systems (Bachelor of Science) in cooperation with IBM Deutschland GmbH at the Baden-Württemberg Cooperative State University in Stuttgart. In addition to the theoretical phases, she worked in numerous practical phases in various areas and projects at IBM. These included four-month practical assignments as an assistant to the IBM Healthcare & Pharma/Life Science Leader, in IT project management at a large German health insurance company and in the business analytics area at the London (UK) location. She already dealt with business intelligence and data warehousing as part of her bachelor's thesis. After successfully graduating at the top of her class, she transferred to the TU Braunschweig to continue her Master's studies, majoring in Medicine and Health at the Peter L. Reichertz Institute for Medical Informatics. Even before completing her studies, she began working as a research assistant at the PLRI in the areas of clinical decision-support, clinical data repositories and reuse of clinical data. She laid the foundation for her further scientific work in collaboration with the Department of Paediatric Cardiology and Intensive Care Medicine at Hanover Medical School with her Master's thesis on the topic of "Conception of a knowledge-based system to support the detection of systemic inflammatory response syndrome (SIRS) in paediatric intensive care patients". After graduating with a very good Master's degree, she pursued this and other projects and obtained her PhD in 2021 on "Cross-Institutional and Data-Driven Decision-Support for Intensive Care Environments" (Sum Cum Laude). Her current research focuses on the extraction, standards-based modelling, integration and analysis of medical data and the development of interoperable clinical decision-support systems. As deputy project leader, she is working on the BMG-funded project "ELISE", in which new correlations between different paediatric diseases are discovered and diagnostic models are developed by combining and analysing large intensive care data sets.