Abstract
The software platform for telemedicine monitoring with Artificial Intelligence (AI) elements is presented. The principles and methods of development of the platform are described and discussed. The systems created on a base of the platform would be useful for countryside inhabitants’ life quality.
Now the platform includes specific Medical Messenger, Subsystem of Intelligent Agents (IA), Subsystem of storage of the personal medical data. IA unload a doctor from routine work. The IA inform the doctor when his direct urgent attention and actions are needed. They also provide a patient and a physician with general information relevant to the patient statement picking out and consolidating it from the Patient and the Doctor Digital Libraries. Good results of the test exploitation of the systems created on a base of the platform are presented. It is displayed that objective medical indicators as well as subjective perception by the doctors and patients of RHM were positive. Already created RHM systems can be used now (and were used in the pilot running) for countryside inhabitants relating to corresponding patient category and diseases class. It is also expedient to develop specific RHM system for health safety of people living in countryside. So, there are perspective opportunities to improve social conditions of countryside and promote agriculture.The similar approach can be used also directly for agricultural stock-raising. The “televeterinary” platform for home animals had been already developed. Systems implementing remote monitoring with sensors placed on the animals and with participation of veterinary surgeons should be created. This article invites to multidisciplinary co-operation to develop and implement RHM systems for countryside and agriculture.
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This work was supported by the Ministry of Science and Higher Education of the Russian Federation (AAAA-A18-118012390247-0), by RFBR grant (project № 19-07-01235).
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Evelson, L.I., Zingerman, B.V., Kremenetskaya, O.S., Shklovskiy-Kordi, N.E. (2022). Intelligent Systems of Telemedicine Monitoring for Countryside and Agriculture. In: Hu, Z., Wang, B., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Power Engineering II. AIPE 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 119. Springer, Cham. https://doi.org/10.1007/978-3-030-97064-2_4
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