Authors
Karpov O.E.1, Silaeva N.A.1, Nikulichev A.A.1, Savchuk T.A.1, Alihashkina N.V.1, Subbotin S.A.1, Mozharova V.A.2, Kobets S.Y.2, Astapov A.A.2, Larchenko I.I.2
1 Pirogov National Medical and Surgical Center, Moscow
2 Doconcall LLC, Moscow
Abstract
The article discusses the implementation of artificial intelligence technologies to control the quality and safety of medical activities in the practice of large multidisciplinary consultation and diagnostic centers using the example of control medical documentation quality service (CMDQ) of „National Medical and Surgical Center named after N.I. Pirogov”. From a technological point of view, leading appropriate machine learning algorithms are considered and compared. From a methodological point of view, key aspects of software solution usage are highlighted and target processes for its implementation and operation are proposed. The practical results of the CMDQ service on real data are presented.
Keywords: medical documentation, machine learning, clinical expert work, implementation methodology.
References
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