Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation.

Journal: JMIR rehabilitation and assistive technologies
Published Date: May 9, 2025

Abstract

BACKGROUND: Chronic musculoskeletal pain (CMP) impacts around 20% of people globally, resulting in patients living with pain, fatigue, restricted social and employment capacity, and reduced quality of life. Interdisciplinary multimodal pain treatment (IMPT) programs have been shown to provide positive and sustained outcomes where all other interventions have failed. IMPT programs combined with multidimensional machine learning predictive patient profiles aim to improve clinical decision support and personalized patient assessments, potentially leading to better treatment outcomes.

Authors

  • Fredrick Zmudzki
    Department of Rehabilitation Medicine, Care and Public Health Research Institute, Faculty of Health, Life Sciences and Medicine, Maastricht University, Universiteitssingel 40, Room 3.544, P.O. Box 616, 6200 MD, Maastricht, 6229 ER, The Netherlands, 31 433882160.
  • Rob J E M Smeets
    Department of Rehabilitation Medicine, Care and Public Health Research Institute, Faculty of Health, Life Sciences and Medicine, Maastricht University, Universiteitssingel 40, Room 3.544, P.O. Box 616, 6200 MD, Maastricht, 6229 ER, The Netherlands, 31 433882160.
  • Jan S Groenewegen
    CIR (Expertisecentrum chronische pijn), Rotterdam, The Netherlands.
  • Erik van der Graaff
    CIR (Expertisecentrum chronische pijn), Amsterdam, The Netherlands.

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