Email this article Diagnostic errors in patients with diseases of the chest cavity and ways to reduce them
- Authors: Lukyanenko N.Y.1, Shoikhet Y.N.1, Lazarev A.F.1, Lubennikov V.A.2, Vikhlyanov I.V.2
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Affiliations:
- Altai State Medical University
- Altai regional cancer clinic
- Issue: Vol 24, No 3-6 (2019)
- Pages: 96-101
- Section: Basic Science - Practical Health Care
- URL: https://journals.rcsi.science/1028-9984/article/view/42477
- DOI: https://doi.org/10.18821/1028-9984-2019-24-3-6-96-101
- ID: 42477
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Abstract
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%.
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##article.viewOnOriginalSite##About the authors
N. Ya. Lukyanenko
Altai State Medical University
Author for correspondence.
Email: nik.lukyanenko.50@mail.ru
ORCID iD: 0000-0002-8703-1277
MD, PhD, DSc, Professor
Russian Federation, BarnaulYa. N. Shoikhet
Altai State Medical University
Email: nik.lukyanenko.50@mail.ru
ORCID iD: 0000-0002-5253-4325
Russian Federation, Barnaul
A. F. Lazarev
Altai State Medical University
Email: nik.lukyanenko.50@mail.ru
ORCID iD: 0000-0003-1080-5294
Russian Federation, Barnaul
V. A. Lubennikov
Altai regional cancer clinic
Email: nik.lukyanenko.50@mail.ru
Russian Federation, Barnaul
I. V. Vikhlyanov
Altai regional cancer clinic
Email: nik.lukyanenko.50@mail.ru
Russian Federation, Barnaul
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