| Authors |
Bezborodova Oksana Evgen'evna, candidate of technical sciences, associate professor, sub-department of technosphere safety, Penza State University (40 Krasnay street, Penza, Russia), E-mail: ot@pnzgu.ru
Bodin Oleg Nikolaevich, doctor of technical sciences, professor, sub-department of information and measurement technology and metrology, Penza State University (40 Krasnay street, Penza, Russia), E-mail: iit@pnzgu.ru
Kramm Mikhail Nikolayevich, candidate of technical sciences, associate professor, sub-department of radio engineering fundamentals, National Research University «MPEI» (14 Krasnokazarmennaya street, Moscow, Russia), E-mail: KrammMN @mail.ru
Chuvykin Boris Viktorovich, doctor of technical sciences, professor, sub-department of information computer systems, Penza State University (40 Krasnay street, Penza, Russia), E-mail: chuvykin_bv@mail.ru
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| Abstract |
Background. At present, much attention is paid to the research of various information systems based on multi-agent technologies, which, along with artificial intelligence and cloud computing, are one of the latest achievements of information technologies that contribute to improving the efficiency of information processing, automation and control. The article is devoted to the use of modern information technologies in medical information systems, the widespread use of which is due to the need to improve the prevention, diagnosis and treatment of diseases.
Materials and methods. An agent-based approach to the construction of medical information systems is used.
Results. The article shows that the main element in medical information systems is an automated workstation for a doctor, where, based on eHealth technology, multi-agent and cloud technologies, the provision of necessary medical services is provided within the framework of the State Unified Cloud Space.
Conclusions. A distinctive feature of the automated workstation of a doctor is a three-tier client-server architecture, which allows: monitoring the functional state of the patient's body; automatically, using a wearable mobile device equipped with a patient from a risk group, make a decision on the provision of emergency medical care in the event that a life threatening functional state of the body is determined; simulate the functional state of the patient's body and predict the course of the disease; organize a consultation of specialists to make a medical decision; free the doctor from routine paperwork, and a hierarchical organization of information interaction of a heterogeneous group of intelligent agents. Thanks to modern information technologies, the functionality of medical information systems is expanding.
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