• Bokmål
  • English


MOSKUS – MObile musculoSKeletal User Self-management

MOSKUS – MObile musculoSKeletal User Self-management

The MOSKUS project is about to develop a smart ICT solution to support self-management for patients suffering from arthritis, a prevalent and debilitating chronic disease. Self-management education using ICT tools can empower patients to become effective health-care participants; thus, saving costs in the health care sector and improving the clinical outcome.

The toolkit developed so far in the MOSKUS project includes tools for self-reporting of the patient's condition using a reporting-app for clinical measurements such as ASDAS, BASDAI, and BASFI. The project has also developed a sensor-based methodology for selected clinical measurements of the BASMI index that have the potential to be used by the patient. These measurements are currently under clinical testing. First results show that the new tests can be applied both for self-management and in a clinical setting. The new method is promising: it will give higher accuracy and less time consumption in relation to the currently used tests.

The toolkit includes a recommendation system where knowledge-driven decision support and evidential reasoning algorithms are used. The recommendations will be given on the basis of the self-reported measurements following the treat-to-target principle used in rheumatology. An app containing elements of a personal health diary has been developed to visualise the patient's disease development as well as recommendations. Real patients suffering from arthritis will test the apps for usability.

The MOSKUS project is an interdisciplinary collaboration between the National Competence Center for Rehabilitation (NKRR) at the Diakonhjemmet Hospital, the Sørlandet Hospital, the Norwegian Rheumatism Association (NRF), Norsk Regnesentral (NR), Apertus AS, Tellu AS, and researchers from the De Montfort University, Leicester.


Qi, Jun; Chen, Liming; Leister, Wolfgang; Yang, Shengxiang. Towards Knowledge Driven Decision Support for Personalized Home-based Self-management of Chronic Disease. In: Prceedings of The 2015 Smart World Congress. (ISBN 978-1-4673-7211-4). pp 1724-1729. doi: 10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.313. 2015.

Schiboni, Giovanni; Leister, Wolfgang; Chen, Liming. Using Fuzzy Evidential Reasoning for Multiple Assessment Fusion in Spondylarthropathic Patient Self-Management. In: Emerging Trends and Advanced Technologies for Computational Intelligence. (ISBN 978-3-319-33353-3). pp 15-40. 2016.

Leister, Wolfgang; Fongen, Camilla; Soldal, Dag; Hagen, Kåre Birger; Schulz, Trenton Wade; Bai, Aleksander; Chen, Liming; Franke, Carl-Henrik; Tjøstheim, Ingvar; Boye, Lars Thomas; Berre, Vebjørn; Østerås, Nina; Hagfors, Jon; Relbe-Moe, Jan Halvard; Dagfinrud, Hanne. Towards Evidence-Based Self-Management for Spondyloarthritis Patients. In: GLOBAL HEALTH 2016, The Fifth International Conference on Global Health Challenges. (ISBN 978-1-61208-511-1). pp 43-48. 2016. Full-text 

Research areas


The Research Council of Norway


  • NKRR (Nasjonal kompetansetjeneste for revmatologisk rehabilitering)
  • Sørlandet Sykehus
  • Norsk Revmatikerforbund
  • Tellu
  • Apertus
  • Norsk Regnesentral


Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
(+47) 22 85 25 00
Address How to get to NR
Social media Share on social media
Privacy policy Privacy policy
Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR