Sentiment analysis of medical questionnaires to improve adherence to telemonitoring programs

Although it is widely known that high adherence to telemedicine and in particular home telemonitoring programs lead to an improvement in the patient’s quality of life, a reduction in hospitalizations, and the containment of healthcare costs, poor adherence is a widespread problem, especially in chronic diseases. Guided by the intuition that the sentiment, i.e., the degrees of positiveness/negativeness, expressed by patients through their responses to ad-hoc designed questionnaires, may be related to their adherence and can be used to predict poor adherence levels, this work describes an integrated software architecture for the online provision, collection, and analysis of questionnaires or surveys and summarizes some preliminary results already presented in our previous work.