Journal of Nursing Science and Engineering
Online ISSN : 2432-6283
Print ISSN : 2188-4323
ISSN-L : 2188-4323
Original Article
Development of voice input system using speech recognition AI in surgical records
Kazuki OtaShinichi FukushiHisako TateyamaYuichi HirayamaYuki SuzukiToshiko Tomisawa
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JOURNAL FREE ACCESS

2025 Volume 12 Pages 76-82

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Abstract
 This study aimed to examine the usefulness of a surgical recording system utilizing a speech recognition system. The subjects were 15 nurses and ten students in the operating department. Cataract surgery records were converted to text by the speech recognition system or typed, and the following items were measured: input time, number and content of wrong entries, noise level, and problems and feelings related to the burden of recording and operation. Recording time for nursing students was significantly shorter with the speech recognition system, reducing recording time by approximately 53%. The average number of mis recordings was 3 for nurses and 2.5 for nursing students. In a comparison of questionnaires regarding voice input, nursing students were significantly lower in “increased workload,” with students thinking less impact on workload. In summary, it is clear that nurses expect the speech recognition system to reduce their workload and be utilized in the future; however, improvement of the recognition rate and handling personal information from an ethical standpoint are future issues to be addressed.
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