SMART AI-based self-management app in hip and knee osteoarthritis

ouder koppel
Osteoarthritis of the hip and knee is a major health problem, but non-surgical treatment options are not always fully utilized. Data science offers new possibilities to predict when someone might benefit from certain guidance. In this project, we develop a smart (AI-supported) self-management app step by step, with input from end users, experts and literature.

Objective

The aim of this project is to generate scientific knowledge about developing a useful, AI-supported, app that offers tailored coaching at the right time to promote self-management in people with hip or knee osteoarthritis.

Results

  • An AI model with predictive factors for complaints in hip and knee osteoarthritis, using continuously measured data
  • The needs, wishes and experiences of end users (citizens and care providers) with regard to coaching using smart technology
  • Knowledge about strategies to create citizens' confidence in smart technology
  • The use, usability and first indications of effectiveness of AI in the care of people with osteoarthritis of the hip or knee
  • The knowledge gained can contribute to the development of smart interventions for other populations
 

Duration

01 September 2022 - 31 August 2027

Approach

A systematic review is started, followed by qualitative research methods. Based on these results, a first prototype AI model and an app will be developed and evaluated.

Impact

This research has the following added value for practice:

  • Current interventions for osteoarthritis last for a defined number of weeks and are therefore not well suited to the pathophysiology of osteoarthritis.
  • With this research, an intervention is being developed that can continuously support self-management, a need that exists within professional practice.
  • Within the development, specific attention is paid to users with limited digital and health skills, in order to improve care for all people.
  • The app is managed by people, who can decide for themselves who has access to his or her data. This means that all healthcare providers can benefit from this project.
 

HU researchers involved in the research

  • Cindy Veenhof | Professor | Research group Innovation of Movement Care
    Cindy Veenhof
    • Professor
    • Research group: Innovation of Movement Care
  • Nienke Bleijenberg PhD | Professor | Research group Chronic Diseases
    Nienke Bleijenberg
    • Professor
    • Research group: Proactive care for older people living at home
  • Corelien Kloek | Researcher | Research group Innovation of Movement Care
    Corelien Kloek
    • Researcher
    • Research group: Innovation of Movement Care
  • Yvonne Korpershoek | Researcher | Research group Chronic Diseases
    Yvonne Korpershoek
    • Researcher
    • Research group: Proactive care for older people living at home
  • Tina Mioch
    Tina Mioch
    • Researcher
    • Research group: Artificial Intelligence
  • Bas Cijs
    Bas Cijs
    • PhD candidate
    • Research group: Innovation of Movement Care

Related research groups

Collaboration with knowledge partners

Would you like to collaborate or do you have any questions?

Bas Cijs

Bas Cijs

  • PhD candidate
  • Research group: Innovation of Movement Care