Mobile Crowd Sensing in Clinical and Psychological Trials - A Case Study

—Many highly prevalent diseases (e.g., tinnitus, migraine, chronic pain) are difficult to treat and universally effective treatments are missing. Available treatments are only effective in patient subgroups; i.e., medical doctors and patients have to figure out which therapy might be helpful in the patient’s situation. Sufficiently large and qualitative longitudinal data sets, however, would be desirable to facilitate evidencebased treatment decisions for individual patients. On one hand, traditional sensing techniques (i.e., clinical trials) have many merits enabling evidence-based medicine. On the other, they have inherent limitations. First, clinical trials are very costand labour-intensive. Second, the traditional approach aims at reducing ecological heterogeneity to enable the investigation of homogeneous subsamples. Recently, a new paradigm emerged that offers promising perspectives for collecting large amounts of longitudinal patient data – Mobile Crowd Sensing. By util...

• Type: Journal
• Year: 2015
• Where: CBMS
• Authors: Rüdiger Pryss, Manfred Reichert, Jochen Herrmann, Berthold Langguth, Winfried Schlee
• Keywords: CBMS 2015, Medical Imaging