Abstract
The article analyzes the prospects of introducing a patient-oriented digital clinic with IoMT support. The synthesis of data-generating personal medical components and AI, ML, DL, VR, AR, blockchain technologies in the environment of digital clinic based on IoMT to improve the quality and availability of health care is described. The object of research is the processes of providing medical care to patients and perspective medical services provided by updated outpatient clinics. It is determined that the introducing of patient-oriented digital clinic with IoMT technology and voice virtual medical assistants has significant benefits for outpatient clinics functionality, contributes to the evolution of digital clinics, opens new opportunities for diagnosis, treatment and diseases prevention of patients, so the demand for this component of modern eHealth ecosystem is growing and will grow in the future. It is established that the strengthening and promising component of a modern digital clinic is the creation of voice virtual medical assistants for the patient with support for AI, ML, AR, VR. It is justified that the proposed solution expands the functionality of the digital clinic and makes it a powerful tool in the management and care of patient health.
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Kryvenko, I., Hrynzovskyi, A., Chalyy, K. (2023). The Internet of Medical Things in the Patient-Centered Digital Clinic’s Ecosystem. In: Faure, E., Danchenko, O., Bondarenko, M., Tryus, Y., Bazilo, C., Zaspa, G. (eds) Information Technology for Education, Science, and Technics. ITEST 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-031-35467-0_31
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