Description
Session Topic: Technology, PainSession Description:
In The Netherlands, patients with chronic musculoskeletal pain that visit a rehabilitation physician, are invited to fill out various questionnaires before treatment. Based on the outcome of the questionnaires and the consultant’s opinion created during the consultation, the patient will be referred to the most optimal treatment modality related to the complexity of the pain problem of patient. This process is based on best practice but decision making might hold substantial variations between clinicians. This minisymposium aims to provide an overview of the current innovations possible to improve this process by making it more personalized and evidence-based. Possible solutions might be found via a data-driven machine learning clinical decision support system. This
may help to find a more objective way to assess the complexity of the pain problem and a corresponding optimal treatment in stepped care. In pain rehabilitation, data- driven machine learning may help to identify the best suitable treatment for every individual patient, based on the results of former patients. By constant improvement of prediction models, the computer may
eventually even beat the rehabilitation physician in choosing the best matched rehabilitation care. A good cooperation between professionals and physicians in the analysing process is of great importance to develop proper and clinical relevant decision tools. The ultimate aim of these studies is to develop a well-founded stepped care model matching with the complexity of the pain problem
of patients. Different methods and designs will be presented.
Session Moderator:
- J.L. Swaan
Session Presenter(s):
- A.J.A. Köke
- W. Oude Nijeweme-d'Hollosy
- R. Soer
- H. Hermens
Abstract Titles:
- Data driven pain rehabilitation: The future?
- The use of a vignette study to acquire data for building personalized prognostic Models
- Machine learning for the development of triaging tools for the care of patients with low back pain towards personalized care
- Technological innovations in the treatment of patients with chonic pain
Period | 7 Nov 2019 |
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Event title | Dutch Congress of Rehabilitation Medicine 2019 (DCRM 2019) |
Event type | Conference |
Location | Utrecht, NetherlandsShow on map |
Degree of Recognition | International |
Keywords
- Technology, Pain, big data, machine learning