Effect of X-ray scan quality on the collective effective dose in patients in telemedicine

Abstract

BACKGROUND: The key objective of a healthcare provider is to ensure the quality and increase the efficiency of X-ray diagnostics in both municipal and private medical facilities. A poor-quality radiologic image requires repeated procedures, which results in further reputation, time, and economic losses for the medical organization. Moreover, repeated examinations further contribute to the patient’s total radiation exposure.

AIM: To assess the contribution of poor-quality X-ray examinations to patient exposure in outpatient medical organizations with telemedicine services.

MATERIALS AND METHODS: This study aimed to evaluate poor-quality X-ray examinations recorded by radiologists at the Moscow Reference Center in 2022 by applying a specially developed quality control system for diagnostic examinations based on information technology. In addition, during X-ray examinations, the methods for finding effective doses received by patients were applied in compliance with current regulatory requirements. Statistical methods were also used.

RESULTS: In this study, 2,059 poor-quality examinations were recorded, accounting for 0.084% of the total number of examinations interpreted with telemedicine. The collective effective dose from poor-quality examinations was 3.613 man-Sv, which was <0.11% of the total collective dose of patients in outpatient medical organizations.

CONCLUSION: The implementation of a quality control system for diagnostic examinations based on information technology proved to be efficient for medical organizations rendering telemedicine services.

Keywords

quality of X-ray examinations / medical exposure / justification principle / poor-quality scans / collective effective dose / telemedicine / reference center

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[94] Certificate of state registration of the computer program № 2023617333/ 07.04.2023. Vasil’ev YuA, Vladzimirskii AV, Omelyanskaya OV, et al. Module of quality control of the results of diagnostic tests on chest X-rays. (In Russ.) EDN: BSARZH

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[96] Certificate of state registration of the computer program № 2023617333/ 07.04.2023. Vasil’ev YuA, Vladzimirskii AV, Omelyanskaya OV, et al. Module of quality control of the results of diagnostic tests on chest X-rays. (In Russ.) EDN: BSARZH

Funding

Департамент здравоохранения города МосквыMoscow Health Care DepartmentMoscow Health Care Department(123031500006-9)

RIGHTS & PERMISSIONS

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