Industrial Automatic Control Systems and Controllers Annotation << Back Information Support of an Integrated Automated System for Processing the Survey Results in a Medical Facility A.V. Proskuryakov, D.V. Smerechinsky In this article the implementation of an information and software integrated automated data processing systems for the diagnosis and treatment of diseases based on the method of diagnosis of the condition of the frontal and maxillary sinuses by their images on radiographic and tomographic images. The structure of the integrated automated data processing systems for the diagnosis and treatment of diseases as a set of subsystems with the system approach. An architecture interaction of the main components of the system. Of detailed information provision satisfi es the requirements of invariance in the application in various medical institutions clinics and hospitals. On the example of ENT diseases diagnostics of object fragments study estimated the ratio of expected histograms diagnosed fragment and a reference object, and a comparative analysis of the coeffi cient of variation of these histograms. The article shows the block diagram IASOD, shows the practical implementation of technical, information and software IASOD practically realized by the author and prepared for its replication, with appropriate fi nancial support of interested entities and enterprises. The proposed system and the corresponding subsystem is to use a set of terminals or workstations on a local area network bazek-Intranet, and the Internet. The article provides scientifi c novelty and the results obtained in the application of information security subsystem diagnostics ENT-diseases on the basis of the method of diagnosis in the implementation of the main components of the automated medical diagnostic information system .On the basis of a local area network. Keywords: information system; subsystem; software; software; diagnostics; the way the reference method; standardless method; method of diagnosis; radiographic and tomographic images; pixel; expectation, variance; standard deviation; coeffi cient of variation. Contacts: E-mail: avproskuryakov@sfedu.ru, E-mail: alexandervpr@yandex.ru Pp. 30-39.