The present study aims to describe ethical and social requirements for technical and robotic systems for caregiving from the perspective of users. Users are interviewed in the ReduSys project during the development phase (prospective viewpoint) and after technology testing in the clinical setting (retrospective viewpoint). The preliminary results presented here refer to the prospective viewpoint.
View Article and Find Full Text PDFBackground: Errors of omissions affect the quality of nursing care in hospitals. The Missed Nursing Care Model explains that the reasons for missed care are linked with 1) demand for patient care, 2) labor resource allocation, 3) material resource allocation, and 4) relationship and communication factors. Scientific evidence points to a lack of adequate nursing staffing as the most important factor triggering missed care.
View Article and Find Full Text PDFBackground: Approximately one in three survivors of critical illness suffers from intensive-care-unit-acquired weakness, which increases mortality and impairs quality of life. By counteracting immobilization, a known risk factor, active mobilization may mitigate its negative effects on patients. In this single-center trial, the effect of robotic-assisted early mobilization in the intensive care unit (ICU) on patients' outcomes was investigated.
View Article and Find Full Text PDFBackground: Early mobilization is only carried out to a limited extent in the intensive care unit. To address this issue, the robotic assistance system VEMOTION® was developed to facilitate (early) mobilization measures more easily. This paper describes the first integration of robotic assistance systems in acute clinical intensive care units.
View Article and Find Full Text PDF