The Efficiency of Writing Endoscopic Reports by Artificial Intelligence and Physicians: a Randomized Controlled Trial

Study Overview
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Brief Summary
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The purpose of this study is to compare the efficiency of writing endoscopic reports by artificial intelligence and physicians through a randomized controlled trial.

Detailed Description
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Digestive endoscopy permits early detection of gastrointestinal diseases and improving the patients' quality of life. However, writing endoscopic report takes a lot of manpower and time, reducing the efficiency of endoscopy. Our center has developed a structured diagnostic report generation system for digestive endoscopy, which can generates the report by artificial intelligence. Here, we compare the efficiency of writing endoscopic reports by artificial intelligence and physicians through a randomized controlled trial.

Official Title
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The Efficiency of Writing Endoscopic Reports by Artificial Intelligence and Physicians: a Randomized Controlled Trial

Conditions
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Gastrointestinal Disease

Intervention / Treatment
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* Other: AI generated report
* Other: physicians writing report


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: patients aged between 18 and 80 years； patients undergoing gastroscopy and colonoscopy examination with anesthesia； patients able to give informed consent Exclusion Criteria: patients with the contraindications to endoscopic examination; a history of gastrointestinal cancers; allergic to anaesthetics in previous medical history; the endoscopic procedure cannot be completed due to stenosis, obstruction, solid food or complications of anaesthesia.

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 80 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Diagnostic
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Single


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Artificial Intelligence generating endoscopic report<br>In this group, the endoscopic report was generated by artificial intelligence (AI) based on the structured diagnostic report generation system. | Other: AI generated report<br>* After the endoscopic procedure, the physicians click the structured reporting button of computer to automatically complete the report through the structured diagnostic report generation system. The physicians only make minor corrections to the report.<br>|
| Active Comparator: Physicians writing endoscopic report<br>In this group, the endoscopic report was writing by physicians. | Other: physicians writing report<br>* After the endoscopic procedure, the physicians writing the report in computer according the procedure.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| The time spent writing reports | Sum of the time for writing gastroscopic report and colonoscopic report。 | Intraoperative | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Endoscopic Report, Artificial Intelligence, Gastrointestinal Disease, Writing Efficiency