TY - JOUR A1 - Gschoßmann, Lukas A1 - Schedel, Valentin A1 - Süß, Franz A1 - Weber, Markus A1 - Pfingsten, Andrea A1 - Dendorfer, Sebastian T1 - Comparing kinematic and kinetic demands on the knee joint during selected physiotherapy exercises and activities of daily living JF - Technology and health care ; Special issue: BIOMDLORE N2 - Background: The knee is one of the most common areas to suffer injuries or be affected by surgery. Physiotherapy rehabilitation was shown to support recovery, but evidence guiding optimal rehabilitation practices is limited. To recommend appropriate exercises, it is essential to understand the musculoskeletal requirements involved in both physiotherapy and activities of daily living (ADLs).ObjectiveThis study aimed to evaluate and compare the knee joint kinematics, joint forces and muscle activity in knee flexors and extensors during selected rehabilitation exercises and ADLs.MethodsKinematic and kinetic data from 30 healthy participants were collected during 20 different tasks. Full-body musculoskeletal simulations were performed to estimate peak knee joint angles, angular velocities, joint reaction forces, and muscle activity of the knee flexors and extensors.ResultsComparatively high requirements were observed for lunges, squats, stair walking and gait. Medium requirements were observed for sitting down and rising from a chair. Low requirements were observed for balance shifts and variations of the single leg stand.ConclusionOverall, ADLs like gait and stair walking show surprisingly high requirements compared to many exercises employed in physiotherapy. These findings are a step towards biomechanically informed exercise selection and the development of personalized rehabilitation programs. Y1 - 2026 U6 - https://doi.org/10.1177/09287329251413413 N1 - Corresponding author der OTH Regensburg: Lukas Gschoßmann PB - Sage ER - TY - JOUR A1 - Haug, Sonja A1 - Currle, Edda A1 - Weber, Karsten T1 - Acceptance of Medical History-Taking Supported by Artificial Intelligence and Chatbots: A Population-Based Survey in Germany JF - Healthcare N2 - Background/Objectives: Digital anamnesis tools, including chatbots, are increasingly being developed and evaluated, yet their implementation in German medical practices remains limited. This study examines the acceptance of medical history-taking assisted by artificial intelligence (AI) among the German population. The objective is to derive implications for integrating such systems into digitalization strategies of medical practices. Methods: This study is based on an online survey of the German population, aged between 18 and 74 years, conducted in two independent cross-sectional waves (trend design) in 2024 and 2025 with n = 1000 respondents in each year. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT), three hypotheses regarding the use of AI in medical history-taking were developed and tested using linear regression models. Results: Both waves reveal a high acceptance level of AI-supported anamnesis systems for people aged between 18 and 74, regardless of whether a chatbot is used in medical practice (Scenario 1) or at home (Scenario 2). The latter received slightly less approval for the intention to use (mean intention scores: 3.50 and 3.45, range from 1.0 to 5.0) than Scenario 1 (3.59, 3.56). The indices of Performance Expectancy (PE), Effort Expectancy (EE), and perceived Social Influence (SI) determine the intention to use a chatbot with the strongest correlation of the PE index (Scenario 1: ß =0.466, Scenario 2: ß = 0.475). Most respondents (73% and 75%) expressed a favorable opinion for digitally storing medical history data within their electronic health record (EHR). Conclusions: The findings suggest that gender- and age- specific differentiation—aside from considering the needs of older adults—may be less relevant for designing digitalization strategies than previously assumed. Instead, the focus of medical practices should lie on the practicability of the tool used. Despite currently low EHR utilization rates in Germany, medical practices may expect broad patient approval regarding the digital storage of medical history data. Y1 - 2026 U6 - https://doi.org/10.3390/healthcare14070905 N1 - Corresponding author der OTH Regensburg: Sonja Haug VL - 14 PB - MDPI CY - Basel ER - TY - BOOK A1 - Stadler, Anselm A1 - Mohr, Christa A1 - Teves, Stephanie T1 - Educational Concept - Using VR applications in nursing education T3 - VReduMED Handbook. for VR integration in care education, presenting the project toolkit, an educational concept and recommendations for its sustainable transfer N2 - The following chapter provides teachers with clear guidance on key aspects to consider when introducing XR. It is structured into three main sections. First, the technical prerequisites and conditions are outlined, focusing on aspects that should be taken into account prior to procurement as well as during integration into everyday teaching practice. Building on this, organizational factors that are essential for successful implementation are examined. Finally, the didactic integration of XR is addressed, highlighting the aspects that are critical for effective educational use. The findings from the VReduMED project are complemented by insights from international studies on this topic. Y1 - 2026 UR - https://www.vredumed.eu/wp-content/uploads/VReduMED_Handbook_version_18032026_FINAL.pdf SP - 68 EP - 77 PB - Interreg CENTRAL EUROPE ER - TY - JOUR A1 - Stadler, Anselm A1 - Mohr, Christa T1 - Zwischen Simulation und Realität : Digitale Lernräume in der Pflegeausbildung JF - PADUA N2 - Digitale Lernräume wie Virtual und Augmented Reality verändern die Pflegeausbildung grundlegend. Das europäische Projekt VReduMED, getragen von Partnern aus fünf zentraleuropäischen Ländern, entwickelt immersive Lernformate, die den Theorie-Praxis-Transfer stärken und Lehrende wie Lernende in der digitalen Transformation unterstützen. Der Beitrag zeigt Ansatzpunkte, Ergebnisse und Perspektiven. Y1 - 2026 U6 - https://doi.org/10.1024/1861-6186/a000910 VL - 21 IS - 1 SP - 33 EP - 35 PB - Hogrefe ER -