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Objective: This best-practice example shows the positive effect on the behavior of a mentally disabled client with significant behavioral problems after the custom-made change in his built environment. Background: Healthcare organizations are often faced with the difficulty of creating a built environment that has a positive effect on the mental well-being of the users. Ipse de Bruggen is a healthcare organization that offers care and support for the mentally handicapped. They look after clients who need additional individual support due to their behavioral problems and have developed new care concepts for this over the years. With regard to the built environment, however, they found in individual cases that the living environment does not suit the client. The rooms are bare and devoid of atmosphere. It seems that in many cases this has led to even more aggression and destruction. A negative spiral. The organization saw the need to change this and in 2011 commissioned Andrea Möhn Architects, formerly Möhn + Bouman Architects, to examine the built environment and the needs of individual users with major behavioral problems. Methods: The findings are based on the architects’ many years of experience with regard to the target group, a precise observation of the behavior of the user in his personal space as well as interviews with the staff from November 2011 to April 2012. Results: Based on the observations the architects created a tailor-made environment that had a very positive effect on the behavior of the user and thus also on his family, the care staff and the organization. Conclusions: The best practice example shows that for clients with severe behavioral problems a personalized and humanized approach seemed to be the right approach, rather than a flexible spatial solution. The redesigned space gave the client a sense of control, pride, dignity and a sense of well-being. Inspired by this success, the organization started the project "Physical environment, a fixed value in our care” in 2020. Within four years, twelve rooms will be redesigned and their effects on users will be scientifically researched.
Connected ambient assistance systems support elderly people - or people in need of care - for a self-determined, healthy and safe living in their familiar home until very old age. The systems typically communicate with nursing relatives or remote professional caregiving providers. The basic functions of stationary assistance systems include the detection of a) falls and b) deviant behavior indicating a health hazard. These kernel tasks of assistance have been amended in the course of time by a plenitude of more general assistant functions. Wearable devices, like programmable smartwatches, extend the reach of stationary assistance beyond the spatial boundaries of the familiar home. They extend the scope of wellbeing monitoring by analyzing the wearer’s heart rate in relation to the current physical activity and can also verify sufficient liquid ingestion, drinking, thus compensating the diminishing natural sensation of thirst at increasing age. Home robots also extend the scope of wellbeing monitoring within the home and relieve from the necessity of a comprehensive sensoric instrumentation of the home. So far, ambient assistant systems can primarily provide assistance only in the physiological dimension. Cognitive ambient assistance, which allows the participation in the social communication on an equal footing, today is beyond their abilities. The advances in artificial intelligence are about to change the picture. From an economic point of view, the dissemination and success of assistance systems has been slowed down within the last decade by lacking wide-spread interaction standards as well as the shortage of necessary multivalent utility of such systems. In contrast, the smart home concept offering increased comfort and sustainability has gained a lot of attractivity in the same time. Therefore, commercially successful assistance systems must provide their utility in all three dimensions: assistance, but also simultaneously in comfort/safety and sustainability.
The advancing use of modern technology in nursing care, especially the development of technical assistance systems through robotics, digitization and Artificial Intelligence (Al), can open up new opportunities for those affected. At the same time, however, the use of these technologies also carries risks for this group of people, especially for their fundamental right to informational self-determination, due to the extensive processing of personal data. This article describes the risks for data subjects and explains the current legal framework regarding the protection of personal data in the European Union. The authors conclude, that applying data protection and data security to technical assistance systems, robots and Al from the beginning not only leads to legally compliant practices but also strengthens the trust of users and society as a whole in the use of these systems. The use of Al-based systems raises further (legal} questions that go beyond data protection and data security. The authors first address the various definitions of the term „Artificial Intelligence” in the academic literature. They then describe the European Union’s various regulatory approaches to the use of Al starting with the European Commission's “Strategy for Artificial Intelligence” published in 2018, followed by the “Al White Paper” published in 2020 and ending with the European Commission’s proposal for a Regulation laying down harmonized Rules on Artificial Intelligence- Artificial Intelligence Act (AIA) published in April 2021. Here, in particular, aspects of „scope“, „transparency” and „impact on the healthcare sector” will be examined in more detail and the still necessary need for legal policy discussion will be highlighted.
The possibilities of digital technologies for people with disabilities or the older population are wide-ranging, but in order for all people to be able to participate in an increasingly “digital world” it is important to quality professionals and organizations so that they are able to support, advise and help with potential risks. The article presents results of a survey among health and social care professionals in seven European countries with regard to qualification in this domain and introduces the European Union funded project DDSkills. The project aims to qualify health and social care professionals in areas such as digital Assistive Technologies, Smart Home, Robotics, Virtual and Augmented Reality and Brain-Computer-Interface, as well as their implementation and application, in order to support people with disabilities or functional decline to increase their independence and social participation.
Veröffentlichung im Rahmen des European Parking Association Congress 2015, Berlin.
Sensor Web im Zusammenspiel mit GDI am Beispiel der automatisierten Erstellung einer Temperaturkarte
(2011)
Geosensornetzwerke stellen eine hochaktuelle Entwicklung in der Geo-IT dar und gelten als der nächste Evolutionsschritt im Bereich verteilter Geoinformationsanwendungen. Die Daten der im Netzwerk organisierten Sensoren können jedoch nur dann unterschiedlichsten Anwendungen zur Verfügung gestellt werden, wenn diese sich interoperabel zusammen mit weiteren Geodaten verarbeiten lassen. Der vorliegende Text beschreibt als Grundlage das Konzept des Sensor Webs des Open Geospatial Consortiums zur interoperablen Verwaltung von Sensordaten. Am Beispiel einer automatisch erzeugten Temperaturkarte wird die nahtlose Verarbeitung von Sensordaten zusammen mit weiteren, über existierende Geodateninfrastrukturen angebotenen Daten, z. B. für Echtzeitanwendungen im Bereich des Umweltmonitorings, untersucht.