https://outlive-crc.de/

The FDPG+ project continues the development of the FDPG from the current funding phase. It builds on the previous work of the
Coordination Office of the Medical Informatics Initiative (MII) and the MII ABIDE_MI project.
In the first phase, we will make extensive use of the continuous feedback from medical researchers, the
the public and patients in order to expand and improve the functionalities of the FDPG and to develop an
and to develop an integrated, user-friendly and well-accepted user interface for the various
various FDPG sub-portals (public showcase portal, feasibility portal, portal for managing data use
management of data usage applications and contract management, transparency register). The
The developments in the first phase will also take into account requirements identified by the MII working groups
for data sharing and interoperability as well as the clinical use cases newly funded in Module 3.
clinical use cases of the MII. Among other things, these enhancements will significantly expand the
significantly expand the capabilities of the feasibility portal and also continuously improve the functionality of the data use
continuously improve.

The "Terminological Services" service unit (SU-TermServ) provides a central terminology server as an infrastructure component.
All MII stakeholders are enabled to access relevant 
terminological resources at any time in order to exploit the full potential of interoperable clinical data.
In order to support semantic interoperability at all operational levels, i.e. essentially for modeling essentially for modeling FHIR profiles and openEHR archetypes, validating instantiated profiles or instantiated profiles or templates when exchanging data and for queries or analyses of (coded) data, a professional provision of agreed terminological resources and services is required. The purpose of the planned service unit is to ensure stable operation and to provide trained personnel with the necessary expertise

Survivorship Passport - for a better life after childhood cancer EU funds research project to improve long-term care for survivors with four million euros (Mainz, July 7, 2021, br) The EU is funding the EU[1] research project "PanCareSurPass" with four million euros in order to implement the European digital Survivorship[1] Passport in the best possible way. The document records important medical information of adults who were diagnosed with cancer in childhood and adolescence and have survived, known as survivors. By providing a complete overview of previous treatments and personalized recommendations for follow-up care, it can reduce ignorance and uncertainty among patients and caring physicians regarding therapy and disease-associated complications. The nationwide use of the survivorship passport is intended to further improve the long-term aftercare of survivors.

www.pancaresurpass.eu

The MCEA project is developing a novel hybrid approach to knowledge modeling for medical expert systems. On the one hand, "cause and effect analysis" methods established in other domains (e.g. automotive), including a powerful software platform, are used for a declarative representation of mainly causal knowledge content (e.g. symptom-disease). On the other hand, this represented knowledge forms the basis for machine learning procedures for the prognosis, diagnosis and therapy of selected clinical applications.

MCEA is being worked on by a total of six computer science institutes at the University of Lübeck and six clinics at the University Medical Center Schleswig-Holstein (UKSH) under the coordination of the UniTransferKlinik and in cooperation with the company PLATO AG and is funded by the state of Schleswig-Holstein as part of its AI strategy, see press release (LINK).

One focus of the sub-project being worked on by IMI is the use of SNOMED CT as the most expressive terminology internationally. Firstly, a broad annotation of used concepts in MCEA models ensures interoperability of the modeled machine knowledge, e.g. for the application of the knowledge to available, often differently represented patient data (see "Curly brace problem", LINK) or for access to further external knowledge such as drug databases or guidelines. Secondly, the reference terminology SNOMED CT itself represents valuable knowledge using formal logic. Due to the complexity of SNOMED CT with its approx. 350,000 concepts (LINK), subsections of the concept system are of interest (e.g. anatomy, physiology, ...), which can be made available via an interface for specific MCEA knowledge models.

HiGHmed is one of four consortia in the BMBF's "Medical Informatics" funding initiative for the nationwide networking of IT facilities at university hospitals. In addition to the University Medical Center Schleswig-Holstein (UKSH) with its two sites in Kiel and Lübeck, HiGHmed includes the university hospitals in Heidelberg, Göttingen, Hanover, Cologne, Münster, Würzburg, the Charité in Berlin and the German Cancer Research Center in Heidelberg.

The aim of the project is to set up a medical data integration center at the UKSH (UKSH MeDIC), in which all the information required for university patient care and research is brought together and stored. The Lübeck site, i.e. Prof. Ingenerf with his team from SKFIT, is working on basic components of UKSH MeDIC as well as two clinical use cases to demonstrate its functionality and added value. First, Prof. Rupp (Infectiology/Microbiology) and his team will participate in the HiGHmed Use Case "Infection Control". This is an algorithmic early warning system for outbreaks of hospital infections. In addition, Prof. Busch (Systems Biology) and Prof. von Bubnoff (Hematology and Oncology) are working on an MTB application in a cross-consortium use case "Molecular Tumor Board (MTB)", which was developed together with colleagues from the MIRACUM consortium. The MTB application will be developed and adapted to support the molecular genetic diagnosis and therapy of tumors in such a way that the advantages of HiGHmed-specific data provision via the UKSH MeDIC can be utilized.

Website: https://www.HiGHmed.org