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The article presents the results of usability of medical statistics in complex automated analysis. It is demonstrated that processing of data of large volume is necessary both for stage of analysis and procedures of its preliminary processing. The article summarizes and classifies problems limiting quality of complex analysis of data of medical statistics. The algorithm is proposed including sequentially applied procedures supporting correct preparation of indices for further analysis. The algorithm was applied to 1.5 million of records of medical statistics collected in the Medial Informational Analytical Center of the Health Care Department of the Primorskiy Krai in 2004-2014.

The article presents results of study of accessibility of tuberculous care according medical statistics data of the health department of the Primorskii kraii from 2004 to 2014. The Big Data technology was applied. The systematization of indices of accessibility was carried out. The coefficient of need in tuberculous care was proposed to be used as a basis for applying substantiated management decisions. To support complex analysis of accessibility several indices were introduced and their effect on indices of quality of medical care was evaluated.