Towards Pain-Fingerprinting: A Ubiquitous and Interoperable Clinical Decision Support System for Pain Assessment

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.