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An Interactive Assessment System for Children with Chronic Pain

McCann, James, Wang, Haiying, Zheng, Huiru and Eccleston, Christopher (2012) An Interactive Assessment System for Children with Chronic Pain. In: IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI 2012) in conjunction with the 8th International Symposium on Medical Devices and Biosensors and the 7th International Symposium on Biomedical and Health Engineering, Hong Kong and Shenzhen, China. IEEE Engineering in Medicine and Biology Society. 4 pp. [Conference contribution]

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Chronic pain is reported to be a common complaint in adolescents. The normal process of pain assessment involves the child travelling accompanied to their local hospital or clinic for a consultation and possibly completing a questionnaire. The questionnaires are then scored and summarized by the healthcare professional. Results are not immediate and may take several days. In this paper, an interactive assessment system for children with chronic pain was introduced. The system allows patients and carers to complete the questionnaires designed by the Bath Centre for Pain Research online without having to meet with the healthcare professional whilst receiving an immediate score. The information gathered will be analysed, summarised and fed back to the users to help them identify and assess their pain. A total of four interfaces were developed which accommodate the user, carer, researcher and administrator. Users and carers can complete questionnaires on the system, receive feedback and have access to their results in figure and graphics. The researcher can also view or download these details and the administrator has full control over the system. This interactive system has been designed to keep the users entertained whilst completing questionnaires. It not only can allow the users to feel more comfortable as they can complete the required questionnaire from home at their convenience but also clinician’s efficiency will be increased as they don’t have to physically meet with users to make assessments.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:21029
Deposited By: Dr Huiru Zheng
Deposited On:15 Feb 2012 11:24
Last Modified:15 Feb 2012 11:24

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