ArticleBMC health services research2025
Assistive technologies in healthcare: utilization and healthcare workers perceptions in Germany.
Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Employee perceptions of AI adoption across service domains in a Finnish public health and social care organization: a cross-sectional mixed-methods study.BMC health services research · 2026Article
- Distribution and trends of the global burden of female infertility attributable to sexually transmitted infections from 1990 to 2021.BMC infectious diseases · 2026Article
- From predefined indicators to a management dashboard for heart failure telemonitoring: a modified nominal group technique approach in Portuguese hospitals.BMC health services research · 2026Article
- Considerations for designing socially assistive robots for older adults.Frontiers in robotics and AI · 2025Review
- Global practices in AT provision: considerations for a national assistive technology policy for health in India.Frontiers in rehabilitation sciences · 2025Review
- Exploring the Mental Well-being of Hospitalized Patients: Survey Findings to Inform Future Supportive Interventions.In vivo (Athens, Greece)Article
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4 authors.
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Abstract
backgroundAccording to the WHO, assistive technology (AT) is defined as the superset of technologies that improve or maintain the functioning of different senses, mobility, self-care, well-being, and inclusion of patients. ATs also include technologies for healthcare workers (HCWs) to reduce workloads and improve efficiency and patient care outcomes. Software ATs for HCWs include communication software, artificial intelligence (AI), text editors, planning tools, decision support systems, and health records. Hardware ATs for HCWs can range from communication devices, sensors, and specialized medical equipment to robots.
aimsWith this indicative study, we explore HCW utilization, perceptions, and adoption barriers of ATs. We emphasize ATs role in enhancing HCWs' efficiency and effectiveness in healthcare delivery.
methodsA cross-sectional online survey was conducted through August 2024 with HCWs in Bavaria via a network recruiting approach. We used convenience sampling but ensured that only HCWs were part of our study population. Our survey included (i) usage, (ii) usefulness, and (iii) perceptions regarding ATs. The survey comprised 11 close-ended and three open-ended questions, including story stems evaluated by a deductive qualitative template analysis. Our mixed-method evaluation also employed descriptive and bivariate statistics.
resultsThree hundred seventy-one HCWs (♂63.9 %, ♀36.1 %) participated in our survey, primarily 133 administrators, 116 nurses, and 34 doctors. More than half of the study participants (58.6 %) reported having advanced technical skills. Regarding usage, communication platforms (82.2 %) and communication devices (86 %) were the most commonly used ATs. Advanced ATs such as body-worn sensors, medical devices with interfaces, identification devices, and robots were underutilized in our sample. ATs were reported to be helpful in all job roles but need improvements in capacity and integration. Key barriers to adoption included outdated infrastructure, interoperability, and a lack of training.
conclusionOur study suggests that HCWs may want to incorporate ATs into their workflows as they see how, in theory, these technologies would improve HCW's efficiency, resulting in better patient care. However, to realize this potential, efforts in ATs integration and accessibility are essential. Given this study's modest sample size and generalizability limitations, further research is needed to explore the adoption, implementation, and impact of ATs in healthcare.
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