Vision-Based Patient Monitoring and Management in Mental Health Settings

Successful adoption of novel noncontact physiological measurement and physical monitoring requires analysis of how they support patient care. We review available technologies and present our vision-based patient monitoring and management system, supported by a framework enabling its integration within clinical workflows. The framework links tasks such as assessing patients to elements of the patient journey (eg, risk factors and early warning signs). The system enabled insights from patient activity reports and noncontact vital sign measurements. It supports staff in ensuring patients' health follows desired trajectories, avoiding adverse events, making observations without disrupting patients' rest, intervening proactively, and learning from incidents.
Source: Journal of Clinical Engineering - Category: Medical Devices Tags: FEATURE ARTICLES Source Type: research