On mobile personalized healthcare services for human involvement into prevention, therapy, mutual support, and social rehabilitation

Abstract

Many digital healthcare services now follow the cybermedicine approach. The Internet is used to deliver such services as medical consultations, diagnosis, and prescriptions. Mobile services provide end-users (patients) with online and personalized access to consultations and treatment with other end-users (medical professionals). Services become social, taking into account the activity of patients and their collaborative work (in participation with medical professionals and other interested parties). In this paper, we discuss the opportunities that Internet of Things (IoT) provides to the cybermedicine development. Parkinson's disease (PD) serves as a case study, which we use to motivate the effective IoT use for human involvement into healthcare processes such as disease progress prevention, therapy, people mutual support, and social patient rehabilitation. We define several research problems for developing new models, algorithms, and methods within overlapping domains of healthcare, data engineering, and IoT technology.