Healthcare – Current projects for research and industry

A.D.Le.R.: Automated detection, reporting and guidance system for rescue forces

Making an emergency call quickly and successfully is the first step in the rescue chain and thus essential for saving lives and protecting property. Automatic detection and reporting of fires and emergencies could significantly increase the level of safety. This is especially true for people with disabilities or people of advanced age, who are often no longer able to pick up the phone themselves in an emergency. The "ADleR" project is therefore intended to provide this target group in particular with greater safety and, at the same time, greater self-determination in everyday life.

ICON: The predictive hospital

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.

PFLIP: Intersectoral Nursing Core Data Set and Nursing Data Repository

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.

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HEALTH-X dataLOFT: Legitimate, open and federated health data space in GAIA-X

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.

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DaRe: Health DAta trust REallaboratory to develop and test ecosystem integration of data-driven health research

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: My INdividual Digital EDucation

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.

BodyTune: Automated audio analysis of carotid artery blood flow sounds

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.

Digital hospital NRW

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.

DaWID: Data-centered value creation platform for interactive, assisting service systems

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.

Digital life journey: A self-determined life for citizens in an increasingly digitized world

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.

eDem-CONNECT: Development of a communication and service platform for peo-ple caring for family members with dementia

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.

MOND: Mobile, smart neurosensor system for the detection and documentation of epileptic seizures in everyday life

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.

SMITH: Smart Medical Information Technology for Healthcare

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.

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