Illustration: a caregiver reviews a resident's trend on screen; the AI flags an early warning before the risk threshold is crossed

Technology that cares for those who care

Artificial intelligence at the service of care

Early detection of clinical deterioration and prevention of adverse events in long-term care facilities.

Artificial intelligence supporting clinical decisions in long-term care

AIgentiCARE develops and evaluates an AI-based clinical decision support system designed to fit into the daily routine of long-term care facilities.

The system processes caregivers' observation sheets to generate automated clinical summaries, prioritised alerts and proactive recommendations, helping to anticipate risks and reduce avoidable adverse events in older people.

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  • No new infrastructureIt fits into the workflow and the equipment the facility already uses.
  • No extra workloadIt builds on the records staff already keep; no new tasks are added.
  • Validated in a real settingPiloted in a long-term care facility in the province of Jaén, Spain.

How it works

M1

Data integration

Connectors to the facility's record systems, with data normalisation and anonymisation in line with current regulations.

M2

Processing and AI

Expert rule engine to prioritise incidents, natural-language summaries and recommendations based on good-practice guidelines.

M3

Interface for professionals

Clear view of prioritised alerts, daily summaries per person and recommendations, following WCAG 2.1 AA accessibility criteria.

Participating organisations

Project coordination

Funding

Project funded by Fundación ASISA under its 2026 Research Grants Call (Convocatoria 2026 de Ayudas a la Investigación).