Unique ID issued by UMIN | UMIN000058692 |
---|---|
Receipt number | R000066989 |
Scientific Title | Study on efficient reporting of protocol deviations in clinical trials using generative AI |
Date of disclosure of the study information | 2025/09/01 |
Last modified on | 2025/08/01 16:14:42 |
Study on efficient reporting of protocol deviations in clinical trials using generative AI
Deviation Reporting AI Study
Study on efficient reporting of protocol deviations in clinical trials using generative AI
Deviation Reporting AI Study
Japan |
none
Not applicable | Adult |
Others
NO
In clinical trials, CRC shortages increase workload and affect quality. Generative AI may support documentation by non-medical personnel. This study evaluates how medical qualification and AI support affect the quality, efficiency, and burden of writing deviation reports.
Efficacy
Exploratory
Pragmatic
Not applicable
Quality score of the reports based on blinded evaluation by three raters
- Time required for report preparation
- Self-assessed task burden
- Participant evaluation of similarity to real-world protocol deviation records
- Free-text and multiple-choice responses on perceived usefulness and usability of generative AI
Interventional
Cross-over
Randomized
Individual
Open -but assessor(s) are blinded
No treatment
YES
NO
Institution is not considered as adjustment factor.
NO
Central registration
2
Educational,Counseling,Training
Behavior,custom |
First report created without AI support; second with AI support.
First report created with AI support; second without AI support.
18 | years-old | <= |
80 | years-old | > |
Male and Female
1. Employees of Okayama University Hospital or SMO
2. Some experience in clinical trial or research-related duties (medical or administrative)
3. Able to operate a computer and create documents in Japanese
4. Capable of understanding the study purpose and providing written informed consent
5. Aged >=18 and <80 years at the time of consent
1. Those with advanced experience using generative AI that may bias the evaluation
2. Those deemed unable to participate due to mental or physical burden (based on self-report)
40
1st name | Yoshito |
Middle name | |
Last name | Zamami |
Okayama University Hospital
Department of Pharmacy
700-8558
2-5-1 Shikata-cho, Kita-ku, Okayama-shi, Okayama 700-8558, Japan
086-235-7640
zamami-y@okayama-u.ac.jp
1st name | Satoshi |
Middle name | |
Last name | Kuroda |
Okayama University Hospital
Department of Pharmacy / Center for Innovative Clinical Medicine
700-8558
2-5-1 Shikata-cho, Kita-ku, Okayama-shi, Okayama 700-8558, Japan
086-235-6122
kuroda-s@cc.okayama-u.ac.jp
Okayama University
none
Self funding
Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences and Okayama University Hospital, Ethics Committee
2-5-1 Shikata-cho, Kita-ku, Okayama-shi, Okayama 700-8558, Japan
086-235-6503
mae6605@adm.okayama-u.ac.jp
NO
2025 | Year | 09 | Month | 01 | Day |
Unpublished
Preinitiation
2025 | Year | 06 | Month | 16 | Day |
2025 | Year | 09 | Month | 01 | Day |
2025 | Year | 12 | Month | 31 | Day |
2025 | Year | 08 | Month | 04 | Day |
2025 | Year | 08 | Month | 01 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000066989