Tokyo, Sept. 1 -- UMIN Clinical Trials Registry (UMIN-CTR) received information related to the study (UMIN000058692) titled 'Study on efficient reporting of protocol deviations in clinical trials using generative AI' on Sept. 1.

Study Type: Interventional

Study Design: Basic Design - Cross-over Randomization - Randomized Blinding - Open -but assessor(s) are blinded Control - No treatment

Primary Sponsor: Institute - Okayama University

Condition: Condition - none Classification by malignancy - Others Genomic information - NO

Objective: Narrative objectives1 - 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. Basic objectives2 - Efficacy

Intervention: Interventions/Control_1 - First report created without AI support; second with AI support. Interventions/Control_2 - First report created with AI support; second without AI support.

Eligibility: Age-lower limit - 18 years-old

Gender - Male and Female Key inclusion criteria - 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 Key exclusion criteria - 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) Target Size - 40

Recruitment Status: Recruitment status - Preinitiation Date of protocol fixation - 2025 Year 06 Month 16 Day Anticipated trial start date - 2025 Year 09 Month 01 Day Last follow-up date - 2025 Year 12 Month 31 Day

To know more, visit https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000066989

Disclaimer: Curated by HT Syndication.