Personalized alaRming and cOntextualized dispaTching through lifEstyle monitorinG

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To deal with the changing care requirements for the ageing population, we need to improve the efficiency of transmural care. Through the use of contextual AI services, PROTEGO will significantly improve alarm assessments, resource use and workflows within assisted living, homecare and call centers. By facilitating transmural care, residential care facilities will be relieved of unnecessary hospitalizations.

Inefficient care systems cause unnecessary hospitalizations

The needs of the care industry are quickly changing. An aging population is causing an increase in chronic diseases and longer hospitalization times. This requires more complex care, more beds in residential care centers and more employees. Geriatrics records the longest average hospital stay. Elderly people who are eligible for discharge cannot be sent home due to the lack of a social support system.

To minimize the effects of this lack on the health care system, care delivery should become more transmural and be offered at home. Residential care can then be reserved for those with intensive care needs.

Caregivers are unable to accurately assess alarms

Today, personal alarm systems and monitoring devices need to be assessed and handled by caregivers, who are often unable to quickly assess the priority and validity of the alarm due to a lack of contextual and sensor data. As a result, one third of all interventions are false alarms. The nature of the required intervention is also hard to estimate, leading to inefficient dispatching, care workflows and use of resources.

AI services based on contextual and profile information

PROTEGO aims to increase the efficiency of care organizations by optimizing the handling of acute, unplanned events. It will do so by offering caregivers the required context and by making workflows adaptive to accurately assess, manage and dispatch unplanned requests for aid. Contextual AI services will enrich alarms by using contextual sensor and profile information (medical information, alarm history etc.). AI recommenders use, amongst other things, the result of the root cause analysis (the reason the call was made) to suggest the most appropriate dispatch strategy. PROTEGO will achieve the following innovations:

  • accurate assessment and prioritization of incoming unplanned events through AI services;
  • proactive alarms from home by detecting deviations in lifestyle patterns;
  • adaptive and interactive care workflows;
  • comprehensive patient and call overviews in hyperpersonalized dynamic dashboards.

Improving care efficiency, workflows and use of resources

PROTEGO will dramatically improve the time efficiency and use of resources in the health care system. AI services are able to quickly determine the most probable causes of an alarm, reducing the number of unidentified false alarms. By using adaptive instead of static workflows, PROTEGO is able to cope with complex and changing contexts, leading to an increase in decision speed at the call center and a reduction of used resources. The dynamic dashboard results in fewer call operator interactions.

“Using AI services and recommenders, PROTEGO will dramatically improve the time efficiency and use of resources in the care system, which is crucial to handling increasingly complex health care requirements.”


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PROTEGO leaflet


Personalized alaRming and cOntextualized dispaTching through lifEstyle monitorinG.


PROTEGO is an imec.icon research project funded by imec, Innoviris and Agentschap Innoveren & Ondernemen.


It started on 01.09.2020 and ended 30.11.2022.

Project information


  • Televic Healthcare
  • ML2Grow
  • Amaron
  • Z-plus


  • imec – IDLab – UGent
  • imec – SMIT – VUB


  • Project lead: Pieter Crombez
  • Research lead: Femke Ongenae
  • Proposal Manager: Femke Ongenae
  • Innovation manager: Eric Van der Hulst