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Sept. 17, 2025 |
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Sept. 17, 2025 |
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jRCT1070250070 |
Visualizing and Optimizing Operating Room Nurses Workload Using Generative Artificial Intelligence: A Cross-Sectional Study (VONO AI Study(Visualizing Operating room Nurses workload with Optimization by AI)) |
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A Study on Visualizing and Optimizing Operating Room Nurses Workload Using Artificial Intelligence: A Cross-Sectional Study (VONO AI) |
Hara Kentaro |
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Department of Fundamental Nursing, Faculty of Life Sciences, Kumamoto University |
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4-24-1 Kuhonji, Chuo-ku, Kumamoto-shi |
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+81-963735474 |
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kentaro-hara@kumamoto-u.ac.jp |
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Ishibashi Ayano |
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Clinical Research Center, NHO Nagasaki Medical Center, Nagasaki |
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2-1001-1, Kubara, Omura |
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+81-957523121 |
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ishibashi.ayano.uk@mail.hosp.go.jp |
Not Recruiting |
July. 08, 2024 |
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| July. 08, 2024 | ||
| 38 | ||
Observational |
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single arm study |
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open(masking not used) |
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uncontrolled control |
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single assignment |
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other |
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Nurses working in the operating theatre at Nagasaki Medical Centre |
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Persons in managerial positions who do not perform actual direct nursing duties |
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| 20age old over | ||
| No limit | ||
Both |
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Nurses' workload, workload and perioperative nursing tasks |
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Operating room nurses; workload; perioperative nursing; occupational stress; task analysis |
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None |
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Quantification of workload (hours, task type, number of tasks) |
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AI-based work optimisation simulation results |
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| None |
| Ethics Review Committee, NHO Nagasaki Medical Center | |
| 2-1001-1, Kubara, Omura, Nagasaki | |
+81-957-52-3121 |
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| 611-kenkyu@mail.hosp.go.jp | |
| Approval | |
May. 14, 2024 |
No |
none |