Kişisel davranış değişikliği müdahalelerinin iletimi ve sürekli davranışsal sağlık takibi için bir uygulama

In this thesis, a continuous behavioral health monitoring architecture is developed for chronic disease patients with a mobile application, a health data ingestion stack and a rule-based intervention engine. The mobile application is used for medical device integration and activity tracking. End-users also have interfaces to check their care plan activities, their adherence performances for them and to receive and configure motivational interventions and reminders about their activities. The ingestion stack is capable of stream and batch processing and used for collecting various health data and making the data available for the underlying intervention engine in the desired format. The rule-based intervention engine calculates and delivers interventions based on received patient data and defined intervention rules. Components presented in the architecture will be further validated in ADLIFE project containing seven pilot sites with a total of 577 healthcare professionals from 75 hospitals, clinics and primary care services. Keywords: Behavioral Health, Medical Device Data, Health Data Processing, mHealth