Predict the healthcare needs of older adults using AI

This project aims to use AI technology to predict the care needs of older adults. By analyzing patient data, AI can detect early signs of declining health, enabling timely interventions that can prevent costly emergency care and extensive aftercare.

As we age, our healthcare needs increase, leading to higher costs and more frequent use of emergency services. Managing the care of older adults is becoming more challenging due to the growing demand on healthcare resources.

To address this, European healthcare systems need to reduce overall care needs through early intervention or by ensuring patients are quickly transferred to the appropriate care level.

Will detect early signs of declining health

This EU-funded project is a collaboration between Norway, Sweden, and Spain. The project aims to use AI technology to predict the care needs of older adults. By analyzing patient data, AI can detect early signs of declining health, enabling timely interventions that can prevent costly emergency care and extensive aftercare.

Complex implementation

For example, AI can help prevent falls in nursing homes or heart attacks by suggesting timely adjustments in the treatment plan. Implementing these AI solutions is however complex, as the quality of data and access to data vary across regions, care levels and countries.

Another central aspect of the project is to analyze how cultural and contextual differences among countries may affect implementation of predictive AI and based on this understanding develop guidelines for how effective implementation can be achieved across Europe, ultimately improving care for older adults and making the healthcare system more efficient.

Project leader

• Aslak Steinsbekk 

Participating researchers

• Ibrahim A. Hameed
• Myriam Soto Ruiz de Gordoa
• Gorka Unzueta
• Marisa Merino Hernandez
• Nerea Zenigaonaindia Muruamendiaraz
• Hanife Rexhepi
• Joeri Van Laere
• Kristens Gudfinnsson
• Ainhoa Goienetxea