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Authors: Wendy Oude Nijeweme-d'Hollosy 1 ; Lex van Velsen 2 ; Remko Soer 3 and Hermie Hermens 2

Affiliations: 1 University of Twente, Netherlands ; 2 University of Twente, Roessingh Research and Development and Telemedicine cluster, Netherlands ; 3 University of Groningen, University Medical Center Groningen and Saxion University of Applied Science, Netherlands

ISBN: 978-989-758-170-0

Keyword(s): Classification of Patients, Clinical Decision Support Systems (CDSS), Decision Tree, Low Back Pain (LBP), Ontology, Primary Care, Self-referral, Triage.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Cardiovascular Technologies ; Clinical Problems and Applications ; Cloud Computing ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; e-Health ; Health Engineering and Technology Applications ; Health Information Systems ; Healthcare Management Systems ; Knowledge-Based Systems ; Platforms and Applications ; Symbolic Systems ; Telemedicine

Abstract: Low back pain (LBP) is the most common cause for activity limitation and has a tremendous socioeconomic impact in Western society. In primary care, LBP is commonly treated by general practitioners (GPs) and physiotherapists. In the Netherlands, patients can opt to see a physiotherapist without referral from their GP (so called ‘self-referral’). Although self-referral has improved the choice of care for patients, it also requires that a patient knows exactly how to select the best next step in care for his or her situation, which is not always evident. This paper describes the design of a web-based clinical decision support system (CDSS) that guides patients with LBP in making suitable choices on self-referral. We studied literature and guidelines on LBP and conducted semi-structured interviews with 3 general practitioners and 5 physiotherapists on the classification of LBP with respect to the best next step in care: visit a GP, visit a physiotherapist or perform self-care. The intervi ew results were validated by means of an online survey, which resulted in a select group of key classification factors. Based on the results, we developed an ontology and a decision tree that models the decision making process of the CDSS. (More)

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Paper citation in several formats:
Nijeweme-d'Hollosy, W.; van Velsen, L.; Soer, R. and Hermens, H. (2016). Design of a Web-based Clinical Decision Support System for Guiding Patients with Low Back Pain to the Best Next Step in Primary Healthcare.In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 229-239. DOI: 10.5220/0005662102290239

@conference{healthinf16,
author={Wendy Oude Nijeweme{-}d'Hollosy. and Lex van Velsen. and Remko Soer. and Hermie Hermens.},
title={Design of a Web-based Clinical Decision Support System for Guiding Patients with Low Back Pain to the Best Next Step in Primary Healthcare},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)},
year={2016},
pages={229-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005662102290239},
isbn={978-989-758-170-0},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2016)
TI - Design of a Web-based Clinical Decision Support System for Guiding Patients with Low Back Pain to the Best Next Step in Primary Healthcare
SN - 978-989-758-170-0
AU - Nijeweme-d'Hollosy, W.
AU - van Velsen, L.
AU - Soer, R.
AU - Hermens, H.
PY - 2016
SP - 229
EP - 239
DO - 10.5220/0005662102290239

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