On average will 30% of people aged 65 or older experience one fall a year, making this a huge burden for healthcare systems and society. Due to the inactivity in most elderly people, they have poor muscle strength and balance, resulting in falls. Early detection and personalised interventions are needed to ease the burden on the healthcare system. PRECISE aims to build an effective decision support system by using Artificial Intelligence-Machine Learning (AI-ML) to analyse extensive data from screenings by DigiRehab and local data from Poland, Italy, Norway, the Netherlands, and Denmark to help formal and informal caregivers to assess the risk of falling of the elderly and using tailored exercise programs to regain muscle strength. During the project, there will be multiple pilots at all partners with end-users, both because the homecare structure is different in the partner countries and to evaluate the DSS predictions in terms of accuracy in a real-life setting and user interface.


As more senior citizens in our society, innovative solutions are needed. Many solutions and products today are based on when the damage has occurred. Still, with PRECISE, we develop a solution before the elderly become too insecure and the falls are a burden for society. The PRECISE project aims to create a solution that takes information about the types of aids the elderly have and how great a need for care is for the elderly. Combining that knowledge, thereby developing a solution that helps the nursing staff see the little red flags that the aids are, and thereby can take action on it.

Expected results and impact

  • A Reduction of the risk of falling up to 25 %
  • Maximize the control of daily activities by elderlies by 20-30 %
  • Decrease the time spent by the professional and informal caregiver in care home care assistance in 79 min/week/elder after 12 weeks of proactive training
  • Reduce care expenditures related to people falling up to 25 %.

Below these numbers, it is for the elderly citizens that they become more self-reliant, for greater independence and a better quality of life.


Partners involved in the project

Organization Type Country Website
ROOS health B.V. SME The Netherlands
Aarhus Universitet R&D Denmark
Aalborg Kommune End-users Denmark
Bydel Sagene Oslo Kommune End-users Norway
Istituto Nazionale di Riposo e Cura Per Anziani R&D Italy
Fundacja na Miejscu R&D Poland
Stichting Thuiszorg West-Brabant End-users The Netherlands
  • Project name: Preact to lower the risk of failing by customized rehabilitation (PRECISE)
  • Website:
  • Coordinator: DigiRehab A/S, Denmark
  • Duration: 24 Months
  • Starting Date: 01.01.2022.
  • Total budget: € 1 260 000
  • Public contribution: € 965 000


Niels Heuer


T.: +45 2272 7220

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