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2 . 2023

Speech recognition technology in radiology: impact on report preparation time


Speech recognition technology is becoming increasingly widespread in the Russian healthcare system. However, the medical community still has questions about the effectiveness of using voice input to complete medical documentation. Radiology was one of the first medical specialties where large-scale implementation of speech recognition technology was carried out. The aim of our study was to evaluate the effectiveness of speech recognition technology in the report preparation of different types of radiological studies.

Material and methods. A retrospective study was conducted at the Moscow Reference Center of the Centre of Diagnostics and Telemedicine. In the study 12 912 radiological reports prepared by 67 radiologists from May-November, 2022 were included by simple random sampling. The following study types were included: fluorography, diagnostic mammography, chest CT scan for suspected COVID-19, MRI of the brain with contrast, and CT of the chest, abdomen, and pelvis with contrast. Voice2Med software was used to fill the reports of radiological studies. Intergroup comparison was done by Mann-Whitney U-criterion with the statistical significance level of 0.05.

Results. The average duration of preparation of fluorographic study reports in the keyboard input group was 189.9 sec (0:03:09), in the voice input group 236.2 sec (0:03:56) (p<0.0001), for mammographic studies – 387.1 (0:06:27) and 444.8 sec (0:07:24) (p<0.0001), for radiographic studies – 247.8 (0:04:07) and 189.0 sec (0:03:09) (p<0.0001), for chest CT scan – 379.7 (0:06:19) and 382.7 sec (0:06:22) (p=0.12), for brain MRI – 709.9 (0:11:49) and 559.9 sec (0:09:19) (p<0.0001) and for chest, abdominal, and pelvic CT with contrast – 2714.6 sec (0:45:15) and 1778.4 sec (0:29:38), respectively.

Conclusion. The use of speech recognition technology in the preparation of radiological study reports demonstrated varying efficacy. The lowest efficiency was obtained when preparing reports of screening studies (fluorography and mammography). The highest efficiency was achieved in the preparation of reports of CT and MRI examinations.

Keywords:speech recognition technology; report preparation; timed study; radiology diagnostics department

Funding. This paper was prepared by a group of authors as a part of the research and development effort titled “Theoretical and methodological framework for digital transformation in radiology”, (USIS No. 123031400118-0) in accordance with the Order No. 1196 dated December 21, 2022 "On approval of state assignments funded by means of allocations from the budget of the city of Moscow to the state budgetary (autonomous) institutions subordinate to the Moscow Health Care Department, for 2023 and the planned period of 2024 and 2025" issued by the Moscow Health Care Department.

Conflict of interest. The authors declare no conflict of interest.

Contribution. Writing the text, collecting and processing materials, analyzing the data obtained – Kudryavtsev N.D.; concept and design of the study – Vladzymyrskyy A.V.

For citation: Kudryavtsev N.D., Vladzymirskyy A.V. Speech recognition technology in radiology: impact on report preparation time. ORGZDRAV: novosti, mneniya, obuchenie. Vestnik VSHOUZ [HEALTHCARE MANAGEMENT: News, Views, Education. Bulletin of VSHOUZ]. 2023; 9 (2): 64–73. DOI: (in Russian)


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Guzel E. Ulumbekova
MD, MBA from Harvard University (Boston, USA), Head of the Graduate School of Healthcare Organization and Management (VSHOUZ)

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