On-site electronic consent in pediatrics using generic Informed Consent Service (gICS): Creating a specialized setup and collecting consent data.

Enrolling in a clinical trial or study requires informed consent. Furthermore, it is crucial to ensure proper consent when storing samples in biobanks for future research, as these samples may be used in studies beyond their initial purpose. For pediatric studies, consent must be obtained from both the child and their legal guardians, requiring the recording of multiple consents at once.

Bridging the gap: Leveraging telemedicine and IT infrastructure to connect outpatient oncology practices with specialized expert teams in the management of rare tumors.

Objectives: The treatment of rare tumors often necessitates the involvement of highly specialized teams, typically based in larger medical centers or university hospitals, which are often lacking in rural areas. The German TARGET (the Trans-sectoral Personalized Care Concept for Patients with Rare Cancers) project aims to improve the network between outpatient oncology practices and more centralized expert teams via telemedicine.

Methods: The primary work involved conceptualizing the implementation of project requirements based on feedback from various TARGET project teams, and ultimately, the method of implementation using the software CentraXX.

Optimizing Data Extraction: Harnessing RAG and LLMs for German Medical Documents.

In the field of medical data analysis, converting unstructured text documents into a structured format suitable for further use is a significant challenge. This study introduces an automated local deployed data privacy secure pipeline that uses open-source Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) architecture to convert medical German language documents with sensitive health-related information into a structured format. Testing on a proprietary dataset of 800 unstructured original medical reports demonstrated an accuracy of up to 90% in data extraction of the pipeline compared to data extracted manually by physicians and medical students.