Towards Pain-Fingerprinting: A Ubiquitous and Interoperable Clinical Decision Support System for Pain Assessment
- 1.2k Downloads
The subjectivity and the multidimensionality of pain raises several challenges in terms of its description, assessment and treatment. This study presents a Clinical Decision Support System for the pain condition based on the fusion of its different dimensions in order to produce an accurate and reliable assessment. The proposed system includes not only the value of the pain intensity but also several scores (e.g. regarding anxiety, or depression) obtained from the analysis of patients’ behaviour related with the posted messages on social networks, such as Facebook, or Twitter. This study aims to introduce the paradigm for the pain assessment based on patients’ behavioural scores to the detriment of it self-reporting of pain.
KeywordsClinical decision support system Pain assessment Multidimensionality of pain Pain intensity Pain monitoring
This work was supported by FCT project UID/EEA/50008/2013 (Este trabalho foi suportado pelo projecto FCT UID/EEA/50008/2013).
This article is based upon work from COST Action IC1303—AAPELE—Architectures, Algorithms and Protocols for Enhanced Living Environments and COST Action CA16226—SHELD-ON—Indoor living space improvement: Smart Habitat for the Elderly, supported by COST (European Cooperation in Science and Technology). More information in www.cost.eu.
Conflict of Interest Statement
No conflicts of interest.
- 1.Giordano, J., Abramson, K., Boswell, M.V.: Pain assessment: subjectivity, objectivity, and the use of neurotechnology. Pain Physician 13, 305–315 (2010)Google Scholar
- 4.Melzack, R., Casey, K.L.: Sensory, motivational, and central control determinants of pain: a new conceptual model. In: The Skin Senses, pp. 423–443 (1968)Google Scholar
- 13.Axén, I., Bodin, L., Bergström, G., Halasz, L., Lange, F., Lövgren, P.W., et al.: The use of weekly text messaging over 6 months was a feasible method for monitoring the clinical course of low back pain in patients seeking chiropractic care. J. Clin. Epidemiol. 65, 454–461 (2012). https://doi.org/10.1016/j.jclinepi.2011.07.012CrossRefGoogle Scholar
- 15.Ljótsson, B., Falk, L., Vesterlund, A.W., Hedman, E., Lindfors, P., Rück, C., et al.: Internet-delivered exposure and mindfulness based therapy for irritable bowel syndrome—a randomized controlled trial. Behav. Res. Ther. 48, 531–539 (2010). https://doi.org/10.1016/j.brat.2010.03.003CrossRefGoogle Scholar
- 16.Labus, J.S., Bolus, R., Chang, L., Wiklund, I., Naesdal, J., Mayer, E.A., et al.: The Visceral Sensitivity Index: development and validation of a gastrointestinal symptom-specific anxiety scale. Aliment. Pharmacol. Ther. 20, 89–97 (2004). https://doi.org/10.1111/j.1365-2036.2004.02007.xCrossRefGoogle Scholar
- 20.Cleeland, C.S., Ryan, K.M.: Pain assessment: global use of the Brief Pain Inventory. Ann. Acad. Med. Singapore 23, 129–138 (1994)Google Scholar