Regional informatizatian projects
  • 2019 № 1 Maximus Intellectual Information and Analytical System for Medicine and Healthcare

    This article discusses the relevance, purpose, functions and capabilities of intelligent information and analytical modules of diagnostic and treatment processes management systems, on the base of the use of Maximus system in the regional network of clinics of Nefrosovet group, as well as in relation to medicine and healthcare in Russia as a whole. It justifies the importance of automating the data collection, starting from the diagnosis and treatment process to the middle and upper levels of analysis and reporting. Article presents a line of business intelligence software services and decision support systems – process control center, visual analyzer of DTP parameters and reporting system, analytical patient registry, diagnostic machine, causal patient model, diagnostic and treatment programs, etc., using the nephrology service with hemodialysis, treatment of complications and associated diseases as an example.
    The architecture of presented system is service oriented and multiplatform. Article also describes the structures of Maximus BI and DSS subsystems, as well as the architecture of one of the main services – diagnostic and treatment programs. Article shows modern information technologies for managing business processes used in the system, as well as selected user interfaces and solutions.

    Authors: Novitskiy V. O. [4] Galchenkov A. S. [2] Malkoch A. V. [2] Chemeris A. N. [1]

    Tags: clinic1 diagnostic and treatment process4 healthcare8 intellectual information and analytical system1 maximus1 medicine7 nefrosovet1 nephrology2

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  • Intelligence analysis in healthcare
  • 2017 № 3 Portrait method as technology for development of decision making systems for diagnostics and differential diagnostics in clinical practice

    Among the various technologies for the development of expert systems, the portrait method, originally pro- posed by E.V. Gubler. The authors have long used a portrait method for formalizing medical information when creating expert systems for diagnosis and differential diagnosis of diseases. When forming the knowledge base, the clinico-log- ical, expert and clinical-expert approach in the formation of a portrait of the disease is used. This article is enlightened on the description of the methodology for applying the portrait method in the development of expert systems. The features of forming the knowledge base and the algorithm of the solver work are considered

    Authors: Nemkov A. G. [2] Sannikov. A. G. [5] Yastremsky A. P. [2] Zakharov. S. D. [4] Skudnykh A. S. [1] Vokhmintsev A. P. [1] Dergacheva V. D. [1] Parakhin A. S. [1] Sartin K. A. [1]

    Tags: craniocerebral trauma2 decision support1 diagnostic automation1 expert systems3 nephrology2 neurology1

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