BioMed Wizard - An Approach for Gathering Personal Risk Factor Data

People can be at risk of developing some serious diseases without being aware of it. Such diseases either do not present symptoms in early stages or have simple symptoms that are ignored or not properly identified by patients, due to their lack of medical know-how. On the other hand, in order to provide patients with early indications of their risk level on developing such diseases, specially for chronic diseases such as diabetes type 2, it is necessary to collect substantial amount of personal data about risk factors related to the disease. A smart wizard software applying the approach developed in our study, which brings awareness about some socio-economical concerns of patients, can increase patients’ engagement in providing their personal data. The case study focuses on the diabetes type 2 and some socio-economical concerns of patients, including privacy invasion, time, and cost. In this research, the willingness of a sample group of more than 100 people is surveyed, in providing their personal data, for three different scenarios and related to nine main risk factors. The results collected in this survey is then applied to develop four user-specific data collection flow models, to be implemented in a smart wizard software.

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