The surge in development of oncology informatics facilitates the accommodation of next generation digital approaches into cancer care quality assurance workflow. Hence, the remarkable progress in clinical informatics might shape the construction of the extremely efficient model of quality assurance in real hospital practice. This review reflects the description of innovative approaches to automated assessments of the cancer care quality in real world. The PubMed (Medline) database GOOGLE were used to search for helpful information. Ultimately, 35 sources were included in this review. The processing of big data variables possessing plenty characteristics and integration of those into the unified cancer care databases could give the unbelievably valuable results connecting the diagnostic and treatment indicators with the clinical outcomes especially at patient level. The newly emerging information technology tools include the rapid feedback systems to deliver the results of automated appraisal of care quality to the individual physicians and caregivers. Moreover, such digital systems as CancerLinQ and the CAPTIVE infrastructure can be considered as vigorous examples of state-of-the-art technologies that were trialed in cancer care settings with positive results. This paper reviews some of the elements mentioned above. Clinical oncology informatics has opened a new era in improving the practical instruments for care efficiency and safety assurance. The issues of legal policy for automated data processing using artificial intelligence are actualized. The methodology utility depends mostly on the characteristics of primary data collected, analytical algorithms, software design, and properties of high-speed computing hardware. Integration of all data sources together with brand-new computing systems is an obligatory condition for consistent rolling-out of comprehensive digital cancer care network to achieve the better outcomes in the tough battle with malignant neoplasms.