NCT04275609

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

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 80 (estimated)
• Sponsor: Shandong University · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Accepted

Summary

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

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.

Conditions

• Gastrointestinal Disease

Interventions

Type	Name	Description
OTHER	AI generated report	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.
OTHER	physicians writing report	After the endoscopic procedure, the physicians writing the report in computer according the procedure.

Timeline

• Start date: 2020-02-20
• Primary completion: 2020-03-20
• Completion: 2020-03-30
• First posted: 2020-02-19
• Last updated: 2020-02-19