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Telemedicine-based system for quality management and peer review in radiology
OBJECTIVES: Quality assurance is the key component of modern radiology. A telemedicine-based quality assurance system helps to overcome the “scoring” approach and makes the quality control more accessible and objective. METHODS: A concept for quality assurance in radiology is developed. Its realizat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991002/ https://www.ncbi.nlm.nih.gov/pubmed/29777451 http://dx.doi.org/10.1007/s13244-018-0629-y |
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author | Morozov, Sergey Guseva, Ekaterina Ledikhova, Natalya Vladzymyrskyy, Anton Safronov, Dmitry |
author_facet | Morozov, Sergey Guseva, Ekaterina Ledikhova, Natalya Vladzymyrskyy, Anton Safronov, Dmitry |
author_sort | Morozov, Sergey |
collection | PubMed |
description | OBJECTIVES: Quality assurance is the key component of modern radiology. A telemedicine-based quality assurance system helps to overcome the “scoring” approach and makes the quality control more accessible and objective. METHODS: A concept for quality assurance in radiology is developed. Its realization is a set of strategies, actions, and tools. The latter is based on telemedicine-based peer review of 23,199 computed tomography (CT) and magnetic resonance imaging (MRI) images. RESULTS: The conception of the system for quality management in radiology represents a chain of actions: “discrepancies evaluation – routine support – quality improvement activity – discrepancies evaluation”. It is realized by an audit methodology, telemedicine, elearning, and other technologies. After a year of systemic telemedicine-based peer reviews, the authors have estimated that clinically significant discrepancies were detected in 6% of all cases, while clinically insignificant ones were found in 19% of cases. Most often, problems appear in musculoskeletal records; 80% of the examinations have diagnostic or technical imperfections. The presence of routine telemedicine support and personalized elearning allowed improving the diagnostics quality. The level of discrepancies has decreased significantly (p < 0.05). CONCLUSION: The telemedicine-based peer review system allows improving radiology departments’ network effectiveness. MAIN MESSAGES: • “Scoring” approach to radiologists’ performance assessment must be changed. • Telemedicine peer review and personalized elearning significantly decrease the number of discrepancies. • Teleradiology allows linking all primary-level hospitals to a common peer review network. |
format | Online Article Text |
id | pubmed-5991002 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-59910022018-06-18 Telemedicine-based system for quality management and peer review in radiology Morozov, Sergey Guseva, Ekaterina Ledikhova, Natalya Vladzymyrskyy, Anton Safronov, Dmitry Insights Imaging Original Article OBJECTIVES: Quality assurance is the key component of modern radiology. A telemedicine-based quality assurance system helps to overcome the “scoring” approach and makes the quality control more accessible and objective. METHODS: A concept for quality assurance in radiology is developed. Its realization is a set of strategies, actions, and tools. The latter is based on telemedicine-based peer review of 23,199 computed tomography (CT) and magnetic resonance imaging (MRI) images. RESULTS: The conception of the system for quality management in radiology represents a chain of actions: “discrepancies evaluation – routine support – quality improvement activity – discrepancies evaluation”. It is realized by an audit methodology, telemedicine, elearning, and other technologies. After a year of systemic telemedicine-based peer reviews, the authors have estimated that clinically significant discrepancies were detected in 6% of all cases, while clinically insignificant ones were found in 19% of cases. Most often, problems appear in musculoskeletal records; 80% of the examinations have diagnostic or technical imperfections. The presence of routine telemedicine support and personalized elearning allowed improving the diagnostics quality. The level of discrepancies has decreased significantly (p < 0.05). CONCLUSION: The telemedicine-based peer review system allows improving radiology departments’ network effectiveness. MAIN MESSAGES: • “Scoring” approach to radiologists’ performance assessment must be changed. • Telemedicine peer review and personalized elearning significantly decrease the number of discrepancies. • Teleradiology allows linking all primary-level hospitals to a common peer review network. Springer Berlin Heidelberg 2018-05-18 /pmc/articles/PMC5991002/ /pubmed/29777451 http://dx.doi.org/10.1007/s13244-018-0629-y Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Article Morozov, Sergey Guseva, Ekaterina Ledikhova, Natalya Vladzymyrskyy, Anton Safronov, Dmitry Telemedicine-based system for quality management and peer review in radiology |
title | Telemedicine-based system for quality management and peer review in radiology |
title_full | Telemedicine-based system for quality management and peer review in radiology |
title_fullStr | Telemedicine-based system for quality management and peer review in radiology |
title_full_unstemmed | Telemedicine-based system for quality management and peer review in radiology |
title_short | Telemedicine-based system for quality management and peer review in radiology |
title_sort | telemedicine-based system for quality management and peer review in radiology |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5991002/ https://www.ncbi.nlm.nih.gov/pubmed/29777451 http://dx.doi.org/10.1007/s13244-018-0629-y |
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