PERSONALIZED ALERTS AND CONTEXTUALIZED DISPATCH THROUGH LIFESTYLE MONITORING
To meet the changing care needs of the elderly population, we need to improve the efficiency of transmural care. Through the use of contextual artificial intelligence services, PROTEGO will significantly improve alarm assessments, resource utilization, and workflows within assisted living, home care, and call centers. By facilitating transmural care, residential care facilities will be relieved of unnecessary hospitalizations.
Today, personal alarm systems and monitoring devices must be evaluated and managed by health care providers, who are often unable to quickly assess the priority and validity of the alarm due to lack of contextual and sensory data. As a result, one-third of all interventions are false alarms. The nature of the intervention required is also difficult to estimate, resulting in inefficient dispatching, care workflows, and resource use.
Unplanned requests for help
PROTEGO aims to increase the efficiency of care organizations by optimizing the management of acute and unplanned events. It will do so by providing caregivers with the necessary context and making workflows adaptive to accurately assess, manage, and dispatch unplanned calls for help. Contextual artificial intelligence services will enrich alerts using contextual sensor and profile information (medical information, alarm history, etc.). Artificial intelligence advisors use, among other things, the result of root cause analysis (why the call was made) to suggest the most appropriate dispatch strategy.
PROTEGO will implement the following innovations:
- Accurate and prioritized assessment of incoming unplanned events through AI services
proactive alerts from home by detecting deviations in life patterns
adaptive and interactive workflows
comprehensive overview of patients and calls in customized dynamic dashboards
Protego is an imec.ICON project and is supported by VLAIO.
THC collaborates with Amaron, ML2Grow, Z-Plus and imec.IDLAB.