Open AccessDiagnostic errors in patients with diseases of the chest cavity and ways to reduce them
Author(s) -
N. Ya. Lukyanenko,
Ya. N. Shoikhet,
А. Ф. Лазарев,
В. А. Лубенников,
I. V. Vikhlyanov
Publication year - 2020
Publication title -
rossijskij onkologičeskij žurnal
Language(s) - English
Resource type - Journals
eISSN - 2412-9119
pISSN - 1028-9984
DOI - 10.18821/1028-9984-2019-24-3-6-96-101
Subject(s) - radiological weapon , medicine , pathological , multivariate statistics , radiology , intensive care medicine , computer science , medical physics , statistics , mathematics
This paper presents an algorithm for reducing the risk of errors in the diagnosis of diseases of the chest cavity within 14 days after treatment of patients. The developed algorithm, based on multivariate analysis of the integrated assessment of clinical and radiological descriptors (signs) of diseases, determination of the probability coefficient of errors, software for comparing individual integral data with established typical characteristics for differentiable pathological processes, improved diagnostics, aimed the doctor at an adequate examination, and reduced the risk of error by 20.1%.