We are the digital link for the healthcare of the future. Virtual, independent and human-centric.
The healthcare system is characterized by various subject areas, including prevention, monitoring, rehabilitation and self-optimization. The digital transformation can contribute to improving the health-related quality of life.
With research projects and interdisciplinary cooperation, we develop and implement human-centered, adaptive and location-independent solutions for healthcare.
Secure Your Staff is a simple and efficient system. This enables the individual exposure to be measured and an individual, selective risk assessment to be made. Work processes can be simplified through exact and reliable results. In addition, an individual work plan can be created as a catalog of measures on request.
With a hybrid AI technology, the nursing process-related decisions of the specialist nurse are supported for the first time on the basis of evidence (guidelines, expert standards, studies, etc. from a knowledge database) and expertise (knowledge from daily practice through systematic case processing in an integrated case database) in a systematic and everyday-related manner. Current specialist knowledge is continuously processed and actively made available for the nursing process planning. As a result, nursing decisions can be more well-founded and reflected and checked within nursing teams, for example in case conferences, but also interprofessionally. Less experienced nursing professionals in particular benefit from this. In addition, suggestions for care measures can be justified in a comprehensible manner in communication with those in need of care and their relatives.
The classic lessons are supplemented by easily accessible learning content, which is taught via an online platform and tailored to the needs of the learners. The practical activities can be learned and practiced in a virtual reality learning application.
Secure Your Staff is a simple and efficient system. This enables the individual exposure to be measured and an individual, selective risk assessment to be made. Work processes can be simplified through exact and reliable results. In addition, an individual work plan can be created as a catalog of measures on request.
With a hybrid AI technology, the nursing process-related decisions of the specialist nurse are supported for the first time on the basis of evidence (guidelines, expert standards, studies, etc. from a knowledge database) and expertise (knowledge from daily practice through systematic case processing in an integrated case database) in a systematic and everyday-related manner. Current specialist knowledge is continuously processed and actively made available for the nursing process planning. As a result, nursing decisions can be more well-founded and reflected and checked within nursing teams, for example in case conferences, but also interprofessionally. Less experienced nursing professionals in particular benefit from this. In addition, suggestions for care measures can be justified in a comprehensible manner in communication with those in need of care and their relatives.
The classic lessons are supplemented by easily accessible learning content, which is taught via an online platform and tailored to the needs of the learners. The practical activities can be learned and practiced in a virtual reality learning application.
1. Multi-sensory health data collection
2. AI-based assistance systems
3. Hybrid interaction systems using mixed reality
With our co-innovation concept, we address existing entrepreneurial challenges in the context of digital transformation. With fast, individual digitalization projects, our partners become digital pioneers and can thus achieve an edge over the competition through change towards more innovation and agility. Contact us!
Siemens Healthineers uses AI to help healthcare providers around the world prepare for industry trends - and takes a leading position: More than 400 patents in the field of machine learning, 100 patents in the field of deep learning and over 30 AI-based applications pave the way to intelligent use of data and improved care for patients.
By 2030, Europe will be the oldest region in the world. Expenditure on health and long-term care has been going up in all EU Member States, and is expected to rise even further as a consequence of an aging population. Despite greater spending on health and long-term care, increased longevity does not always mean a longer life in good health. Digital technology can transform health and care provisions for the better, and the role of the European Union in this process is now more important than ever.
In times of demographic change, robotic systems are playing an increasingly important role. The care industry is severely affected by demographic developments. While the number of people in need of care is growing, there is a lack of the necessary nursing professionals to ensure optimal care. Furthermore, a significant proportion of the nursing staff's working time is spent on activities such as documentation or pick-up and delivery services.
The use of robotic assistance systems in the field of care is also being discussed in Germany. The development of the first, mostly prototype systems for practical use has already begun. In addition to the technological possibilities, the background to these developments is demographic change, the shortage of skilled workers and the high physical and psychological stress on nursing staff. The assumption is that there are activities in the field of professional care that can be taken over, accelerated or simplified through the use of robotic assistance systems.
