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Nursing-technology collaboration in home-based rehabilitation provides measurable benefits for elderly physiological monitoring and risk warningNursing technology helps elderly patients with home based rehabilitation

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Key Takeaway
Note that nursing-technology collaboration shows measurable effectiveness in physiological monitoring and risk warning.

This scoping review synthesizes evidence from 15 studies across 10 countries regarding nursing-technology collaboration, including digital health technologies and social assistive robots, for elderly populations in home-based rehabilitation. The review categorizes current collaboration into two phases: 5 papers identified tool replacement and 10 papers identified capability enhancement. The authors note that full ecosystem integration requires further exploration.

Key findings indicate measurable effectiveness in physiological monitoring and risk warning. While social companionship and cognitive training show positive implications for mental health and social connections, the review notes that research regarding motion quality supervision in rehabilitation training has room for improvement.

Several barriers to implementation were identified, including issues with data sharing, system interoperability, evaluation criteria, payment methods, digital literacy, and the delineation of responsibilities. The review concludes that while these technologies offer specific benefits in monitoring and risk management, the transition to a fully integrated ecosystem is not yet achieved. Clinical application is currently limited by these systemic and technical barriers.

How this fits prior evidence

This scoping review addresses a gap in understanding the integration of digital health technologies in home-based rehabilitation for the elderly. While prior coverage noted that community-based interventions for older adults show variable improvements in independence, this review specifically highlights the role of nursing-technology collaboration in monitoring and risk warning. It complements existing knowledge on aging by identifying specific technological barriers to care delivery.

Living at home is a priority for many seniors, but staying safe and active requires constant support. A review of 15 studies across 10 countries looked at how nursing staff can use technology, like digital health tools and social robots, to help elderly patients in home-based rehabilitation.

The research found that these technologies are already helpful for monitoring a patient's physical signs and giving early warnings about risks. They also help with mental health by providing social companionship and training for the brain. While some tools are currently used to replace certain tasks, many are being used to enhance the capabilities of the nursing staff.

There are still hurdles to clear before these systems are fully integrated. The study noted that while the technology works well for monitoring, there is still more research needed on how well it tracks movement during physical training. Other challenges include making sure different systems can share data and ensuring staff have the training and payment structures needed to use these tools effectively.

What this means for you:
Digital tools and robots can improve safety and mental health for seniors during home-based rehabilitation.

Common questions

How can technology help elderly patients at home?

Technology can help in several ways. It can provide physiological monitoring and risk warnings to keep patients safe. It can also offer social companionship and cognitive training, which are important for mental health and staying connected with others during home-based rehabilitation.

What are the current limitations of these technologies?

While many tools are effective, some areas need more research. For example, the study noted that research on motion quality supervision during rehabilitation training is still limited. Additionally, the full integration of these technologies into a complete ecosystem has not been achieved yet.

What challenges do nurses face when using these tools?

Several barriers exist for nursing staff. These include issues with data sharing between different systems, a lack of clear evaluation criteria, and the need for better digital literacy and training for the staff who provide care.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedSep 2026
View Original Abstract ↓
Under the long-term care insurance system, home-based rehabilitation is a key service model for addressing population aging, but it faces the dual challenges of a shortage of care workers and increasingly complex service needs. The introduction of emerging tools, such as digital health technologies and social assistive robots, has opened up new possibilities for home-based rehabilitation. However, whether technology can truly improve care outcomes depends on the collaborative working model between nurses and technology—known as “nurse-technology collaboration.” There is currently a lack of a systematic review of collaborative models in this field. To systematically analyze the phased positioning, nursing value, and institutional barriers to nursing-technology collaboration in home-based rehabilitation for the elderly under the long-term care insurance system, using a three-stage framework (tool substitution—capacity enhancement—ecological integration) based on the digital transformation maturity model and the theory of innovation diffusion, thereby providing a theoretical basis for technological integration and institutional innovation. Following the Joanna Briggs Institute's guidelines for systematic review methodology, we searched the PubMed, Cochrane Library, Web of Science, ScienceDirect, CINAHL, and Embase databases, with a search cutoff date of April 2026. We included studies that addressed the collaborative application of nursing staff and technology in home-based rehabilitation for the elderly, exploring collaborative models or mechanisms. We used descriptive analysis to synthesize the extracted data. A total of 15 studies from 10 countries were included. In terms of phasing, five papers are in the tool replacement phase, ten are in the capability enhancement phase, and the ecosystem integration phase requires further exploration. In terms of application scenarios, nursing-technology collaboration has demonstrated measurable effectiveness across three core areas: physiological monitoring, risk warning, and rehabilitation training. Among these, evidence for physiological monitoring and risk warning is relatively concentrated, while research on motion quality supervision in rehabilitation training still has considerable room for improvement. In addition, other scenarios, such as social companionship and cognitive training, have positive implications for the mental health and social connections of older adults. In terms of key breakthroughs, data sharing and system interoperability, evaluation criteria and payment methods, digital literacy and talent development, and the delineation of responsibilities and institutional incentives are the four key issues that require focused attention. Currently, the collaboration between nursing and technology is primarily focused on tool replacement and capability enhancement, and has not yet achieved ecological integration. In the future, we should conduct practical randomized controlled trials based on performance-based payment models, develop technologies for monitoring the quality of nursing procedures, promote the standardization of data interfaces and training in digital literacy for nursing staff, and clarify accountability for technology use, thereby advancing the collaboration between nursing and technology toward a phase of ecological integration.
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