Europe's ageing population requires new approaches to lifelong assistance. The "DuITeasy" project is developing an interoperable ecosystem for innovative assistance services based on existing data sources with a focus on data protection and interoperability, with the aim of creating broad access to data for innovative business models and competitiveness.
The project "TITAN - Trusted envIronments for confidenTiAl computiNg and secure data sharing" will enrich the interoperability framework (IF) of the European Open Science Cloud (EOSC) with a software platform solution for confidential data collaboration and secure and privacy-preserving data processing. The platform will enable access to sensitive data sets from public institutions and government agencies and will be compatible with the EOSC IF on a technical, semantic, organizational and legal level. To encourage community adoption of TITAN's open source software artifacts, the solution will be demonstrated in practice in several vertical cross-border scenarios - particularly in the public administration and healthcare sectors.
As one of the largest university hospitals in Germany with eight sponsors and over 600,000 treatments annually, the University Hospital of the Ruhr University Bochum (UK RUB) has enormous potential for data-driven clinical research.
IDERHA is a European public-private partnership launched in April 2023. The goal of the project is to conceptually and technically overcome interdisciplinary barriers to accessing, integrating, and analyzing health data to maximize its value for patient care and medical research.
The project "DISTANCE - Digital Smart Hub for Advanced Connected Care" deals with the outpatient follow-up of patients discharged from intensive care treatments for the prevention and therapy support of Post Intensive Care Syndrome (PICS). Affected patients suffer from impairments beyond their intensive care stay, which can lead to a loss of quality of life. The PICOS app (Post Intensive Care Outcome Surveillance app) developed as part of DISTANCE is therefore designed to enable patients to monitor and document their health conditions and actively participate in their recovery process.
Healthcare generates a large amount of data that can be used for research into diseases, drugs and treatment methods. The use of data science and machine learning in particular offers great potential for learning from existing data volumes and optimizing medical processes and treatment methods. In order for this data from different sources to be combined and analyzed, it must have a high level of data quality, interoperability, data protection and security.
Making an emergency call quickly and successfully is the first step in the rescue chain and therefore essential for saving lives and protecting property. Automatic detection and notification of fires and emergencies could significantly increase the level of safety here. This applies in particular to people with disabilities or older people who may no longer be able to reach for the telephone or rescue themselves from the danger zone in an emergency. The "ADLeR" project therefore aims to provide this target group in particular with greater safety and, at the same time, greater self-determination in everyday life.
The ICON project addresses the questions: Can healthcare data, together with data from other data domains, help optimize processes, predict future disruptions, and simulate the impact of change? If so, this could be another powerful contribution to support healthcare systems facing the same challenges worldwide.
The PFLIP project aims to define the core nursing data set and build an intersectoral nursing data repository. Continuity of care is to be improved across institutions (patient-centeredness vs. organization-centeredness) and the development of care-supporting AI solutions is to be enabled. To this end, care data from inpatient and outpatient settings will be harmonized and made usable.
Healthcare of the future will be based on secure and cross-sector networking and use of data. In addition, personal data from the secondary healthcare market, such as activity data collected by end-consumer devices, is becoming increasingly important. The goal of the "HEALTH-X dataLOFT" project is to place citizens at the center of the provision, use and control of their own health data within the framework of a citizen-centered health data space. The health data will be made accessible according to GAIA-X standards.
In the joint project »DaRe«, a data escrow model for medical data is to be developed using radiology as an example. Radiological data are of particular interest for medical research and the development of medical analysis tools, as they form the basis for AI components of imaging devices. The central aspect of the project is to realize a stronger integration of patients as data providers.
MINDED.RUHR focuses on the one hand on the combined provision of educational content from various training providers with the Moodle content of public educational institutions, and on the other hand on the individualized provision of suitable content for different target groups and learning types.
While arteriosclerosis is asymptomatic until complications occur, the secondary conditions it causes (stroke or heart attack) are the most common cause of premature death in industrialized countries.
North Rhine-Westphalia provides services for 4.6 million inpatients and 5 million outpatients at a total of 344 hospitals. Measuring the direct influence of digitization appears difficult. Digitally assisted communication establishes consistency, both in the hospital and with external supporting structures.
Data are considered the raw material of the century. The World Economic Forum designated personal data as a new asset class back in 2012. A shift to digital business models on the basis of data is in demand and already discernible today. The project "DaWID" aims to research and test a data-centered value creation platform for the transparent and sovereign administration of their own data by users.
The digital life journey describes us from our birth to our death. This leads to the following question: Would it be possible to describe the individual citizen in their entirety by combining all their data – the "digital me" so to speak? This digital life journey shows how each person can regain sovereignty over their data, and how society, technology, ethics, law, and economics have to work together.
In the project "eDEM-Connect", we are researching how people caring for family members suffering from dementia, who are confronted with agitation, can be supported by technical solutions. The three-year project aims to establish and deliver a chatbot-based communication and service platform.
Epilepsy is one of the most common neurological diseases worldwide. Its characteristic symptom is recurrent epileptic seizures, which are very stressful for those affected. Recognizing and documenting epileptic seizures in everyday life is essential for individual therapy.
The demand for efficient development of new treatment methods, pharmaceuticals and technologies in medicine is greater than ever. Data science, machine learning and artificial intelligence are opening up new opportunities for medical research based on healthcare data.
In the project "ViCon - Virtual Consent Assistant", Fraunhofer ISST is researching new human-technology dialogs. In this context, a virtual Consent Assistant is to support informed consents for the processing of patient-related data. Often, the informedness of patients is simply assumed.
Fraunhofer Institute for Software and Systems Engineering
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![](/en/departments/healthcare/projects/jcr:content/contentPar/sectioncomponent_1890579136/sectionParsys/textwithasset_116282/imageComponent/image.img.jpg/1706687251959/transit-slide-en.jpg "TRANSIT – Medical Informatics Structure "Data Management Unit""){kind=spacer}
