A prototype automated system for the analysis and processing raw data of mass population screening in the Russian health centers (HCs), software program HCViewer, is developed. In it, essential elements of big data, including data filtering (i.e., detection and removal of outliers and fraud cases), statistics and spatial visualization are implemented. Testing HCViewer on the datasets of knowingly reliable, unreliable, and partially reliable bioimpedance body composition data has shown high diagnostic specificity (95.2–98.9%) and sensitivity (94.5–99.2%) of the filtering criteria. Retrospective analysis of the HCs’ bioimpedance database revealed rapid growth in the proportion of fraud cases, from 5–7% in 2009 to 43–45% in 2013–2014 (with the correction for false alarm rate), and the high level of heterogeneity in data quality, so that 80.3% of the incorrect data were generated in 20% of the HCs. This indicates inefficient management of the Russian preventive screening system and sugg...
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