News
June 04, 2024
Raeleesha Norris and Dirk Enders participated at the 5th OHDSI Europe Symposium in Rotterdam for networking and exchange within the communitiy regarding the OMOP project of the InGef. This project aims at transforming the research data of the InGef to an international standard model (OMOP CDM) to efficiently conduct multi-national studies. The symposium was the perfect place to exchange with others regarding software development, data transformation issues and results of international studies.
February 22, 2024
On March 20, we will be attending the AGENS method workshop in Hanover. Marco Alibone will present the project “Predicting the utilization of healthcare services during the COVID-19 pandemic – forecasting models based on routine data” during the session on AI and complex methodologies.
January 15, 2024
Trend data on the incidence of type 1 and type 2 diabetes, taking into account the COVID-19 pandemic years, have been analyzed for the first time for Germany using the InGef research database. The article Incidence of type 1 and type 2 diabetes before and during the COVID-19 pandemic in Germany: analysis of routine data from 2015 to 2021, recently published under the leadership of the Robert Koch Institute, describes not only the temporal development of diabetes incidence but also an increase in the incidence of type 1 and type 2 diabetes in 2021, which may be related to the COVID-19 pandemic. The high incidences and the differences by regional socioeconomic deprivation highlight a current need for appropriate prevention strategies. You can find the full article here.
January 9, 2024
This recent article in the Bundesgesundheitsblatt presents the KI-FDZ project, which explores innovative technologies aimed at ensuring the secure provision of secondary data for research purposes. This includes the evaluation of anonymization and synthesis methods using two concrete application examples. In addition, the project is investigating how the creation of pipelines for machine learning and the execution of AI algorithms can be designed in secure environments. Preliminary results indicate that this approach can achieve a high level of protection while maintaining high data validity. The approach investigated in the project could be an crucial component for the secure secondary use of health data.
Since the end of 2021, InGef, in collaboration with the Berlin Institute of Health at Charité – Universitätsmedizin Berlin, the Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. (Fraunhofer MEVIS) and the FDZ Gesundheit at the BfArM, has been conducting research in the joint project “Artificial Intelligence at the Research Data Center – Exploration of Anonymization Options and AI Readiness.” More information about the project can be found here.