Intelligent Patient Monitoring

Nurses at the Department of Geriatric Medicine at OUH Odense and Svendborg use a lot of their working hours to continuously address fall accidents by preventing agitated patients from falling or rising from the bed by sitting guard with them.

The existing methods of keeping an eye on patients can be troublesome and ineffective. As an example, pressure-sensitive mats creates too many false alarms, which stresses both patients and staff, while also disturbing the patients' sleep. The routine observations that the nurses carry out every evening and during the night also risk disturbing the patients' sleep, which is very crucial for the general condition of patients with dementia or delirium.

AIM

The project is going to test an intelligent patient monitoring solution that uses advanced technology in the form of infrared sensors and artificial intelligence to monitor the patients without disturbing them.

The solution works by anticipating behaviour patterns and by alerting staff if a patient is in danger of falling, so that they can intervene in due time without disturbing the patients' sleep. 

The Intelligent Patient Monitoring project will assess the solution to make sure that it creates value at the ward and departments. If the safety and well-being of patients who are vulnerable to falling and being seriously injured is improved, it could change the procedures for fall prevention in the future and free up time for other care tasks without compromising quality of care or safety.

PARTNERS

The project is anchored in the Department of Geriatric Medicine at both OUH and Svendborg Hospital, as both wards have patients at high risk of falls and therefore use a lot of staff resources on continuous patient observation and monitoring shifts with particularly vulnerable patients.

Chief physician Kristian Bergholt Buhl, chief physician Anette Tanderup and head nurse Janeke Espensen from the Department of Geriatric Medicine contribute to the project.

CCR will conduct testing and technology support, while our sister centre CAI-X is supporting the project with project management, study design and assessment.

FUNDING

The project has received funding from OUH's internal innovation pool.