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Integration of a Robotic Platform for Clinical Monitoring of Patients With Severe Acquired Brain Injury in High-Intensity Care Units
NCT07496346 · Ernesto Losavio · Updated 19 Oct 2026
- What is being tested
- Robotic platform monitoring system
- For
- User Experience; Usability; Acceptability; Satisfaction
- Kind of study
- Tests a treatment or device on volunteers. No drug phase (a device or procedure study).
- Who can join
- Ages 18 years and older. About 12 people. The full rules are on the registry page.
- Where
- Not stated
- When
- Starts or started Oct 2026, ends Nov 2026. Registered 27 March 2026.
- Results
- None posted yet.
In the researchers' words
Frailty is not related exclusively to age, but represents a state of increased biological and clinical vulnerability characterized by reduced functional reserve and greater susceptibility to adverse events, even in response to minor stress factors. In patients with complex conditions, such as severe acquired brain injuries, early detection and prompt treatment of clinical deterioration are essential to reduce the risk of acute readmission, complications, and in-hospital mortality. Many of these events are potentially predictable and preventable, given the presence of appropriate monitoring systems. Advanced care models, including early warning systems, have been developed to support healthcare professionals in identifying patients at risk by detecting significant changes in physiological parameters. In recent years, technological innovations-particularly in the fields of robotics and telemedicine-have created new opportunities to enhance clinical monitoring, enabling more systematic data collection and timely clinical assessment. Social assistive robots are emerging as promising tools in healthcare settings. These systems can support clinicians and nurses in routine monitoring activities, help reduce workload, and facilitate more efficient and personalized care. By integrating robotic assistance with digital health platforms, it may be possible to support patient monitoring…
