How does AVEVA PI System help predict risky behaviors in patients with dementia?
Japan's Senior Dementia Institute deployed AVEVA PI System to achieve 83.2% accuracy in predicting harmful behaviors one hour before they occur. The platform integrates physical sensors (movement, heart rate, sleep) with psychological, environmental and social data in a scalable IoT system. Continuous analysis of these multidimensional signals allows caregivers to anticipate episodes of anxiety, wandering or aggression, turning reactive care into preventive support.
Why is AVEVA PI System relevant for dementia health research?
More than 50 million people worldwide live with dementia, and its behavioral and psychological symptoms (BPSD) are particularly difficult to manage. Researchers need to collect, contextualize and analyze large volumes of patient data to understand the triggers. AVEVA PI System provides the scalable IoT infrastructure needed for this scientific work. This application beyond traditional industry illustrates the versatility of the PI System platform for use cases in which real-time data directly transforms human lives.
How can heterogeneous data sources be integrated in medical research?
Through AVEVA PI System, the Institute for Senior Dementia integrates extremely varied sources: physiological sensors worn by patients, psychological data (questionnaires, cognitive assessments), environmental sensors (light, temperature, noise level) and social indicators (interactions, visits). The platform contextualizes these streams to create a dynamic, multidimensional profile of each patient. This heterogeneous integration is precisely what makes it possible to achieve 83.2% prediction accuracy, which would be impossible with isolated data sources.
How does AVEVA PI System make caregivers more effective?
Thanks to AVEVA PI System and PI Vision, caregivers at the Institute for Senior Dementia access real-time information on each patient's physiological, behavioral and environmental status. Visualization makes this data immediately actionable: risk indicators, early alerts and personalized recommendations. Rather than reacting to crises, they can intervene preventively (calming an environment, suggesting an activity, adjusting a treatment). This transformation improves the quality of care and reduces stress for medical teams.
How can AVEVA help improve the quality of life of older people?
For patients with dementia, anticipating an episode of anxiety or aggression an hour in advance radically transforms quality of life: fewer moments of distress, less restraint and more preserved dignity. AVEVA PI System shows here how a platform originally designed for industry can serve major public health challenges. With the world's population aging, this large-scale application of real-time data in elderly care is a leading social and medical innovation.