S.Yu. Zhuleva
Senior Lecturer, Department «Computational and Applied Mathematics», Ryazan State Radio Engineering University
E-mail: zhuleva.svetlana@bk.ru
A.V. Kroshilin
Dr.Sc. (Eng.), Associate Professor, Professor, Department «Computational and Applied Mathematics»,
Ryazan State Radio Engineering University
E-mail: alfzdrprog@mail.ryazan.ru
S.V. Kroshilina
Ph.D. (Eng.), Associate Professor, Professor, Department «Computational and Applied Mathematics»,
Ryazan State Radio Engineering University
E-mail: asak_kasa@mail.ru

The peculiarities of the organization of the doctor's working time are considered in the article. A system for supporting the adoption of medical decisions has been developed, which reflects the relationship of two directions: organizational, managerial and therapeutic-diagnostic. The scheme reflecting the document circulation of the medical worker is given. A comparative analysis of existing information and medical systems is presented, which reveals a number of shortcomings and determines the need to create a universal system for the distribution of physician load.

Features of the formation of medical burden are: in fuzzy assessment of the workload of the doctor; taking into account the choice of the patient, if there is an alternative to specialist doctors; control instant loading of medical personnel; optimization of the work of reception room specialists, to increase the capacity.

Thus, an automated system for distributing the workload of medical personnel as a decision support system has been developed, which makes it possible to assess these features in conditions of incomplete and unclear initial information. A model of a medical system based on semantic networks is presented, which most fully reflects the cause-effect relationships.

1. ZHuleva S.Yu., Kroshilin A.V., Kroshilina S.V. Pred-stavlenie modeli predmetnoj oblasti na osnove seman-ticheskoj seti v sistemah medicinskogo naznacheniya // Dinamika slozhnyh sistem. 2015. T. 9. № 4. S. 29-33.
2. DolZhenko E.N., ZHuleva S.Yu., Kroshilin A.V., Pyl'kin A.N. PodderZhka prinyatiya reshenij na osnove nechetkoj logiki v sistemah medicinskogo naznacheniya // Biomedicinskaya radioehlektronika. 2015. №7. S. 62-68.
3. Kroshilin A.V., Kroshilina S.V., ZHuleva S.Yu. Overlejnaya model' pacienta v medicinskih sistemah podderzhki prinyatiya reshenij // Fundamental'nye issledovaniya. 2015. № 9-2. S. 261-265.
4. Doan D.H., Zhuleva S.Yu., Kroshilina S.V. Analiz sushche-stvuyushchih sistem podderZhki prinyatiya reshenij medicinskogo naznacheniya // Nauchnye mekhanizmy resheniya problem innovacionnogo razvitiya: Sb. statej MeZhdu-nar. nauch.-praktich. konf. CH. 4. Ufa. 2017. S. 17-19.
5. Zhuleva S.Yu., Doan D.H., Kroshilina S.V., Kroshilin A.V. Model' upravleniya medicinskim material'nym potokom, baziruyushchayasya na kognitivnoj karte // Voprosy obrazovaniya i nauki: Materialy MeZhdunar. nauchn.-praktich. konf. CH. 3. Tambov. 2017. S. 44-46.
6. Zhuleva S.Yu., Doan D.H., Kroshilin A.V. Raspredelenie nagruzki medicinskogo personala na osnove teorii nechetkih mnoZhestv // Prioritetnye napravleniya razvitiya obrazovaniya i nauki: Materialy MeZhdunar. nauchn.-praktich. konf. T. 2. CHeboksary. 2017. S. 57-59.