Gastrointestinal Disease
Conditions
Keywords
Endoscopic Report, Artificial Intelligence, Gastrointestinal Disease, Writing Efficiency
Brief 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.
Interventions
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.
After the endoscopic procedure, the physicians writing the report in computer according the procedure.
Sponsors
Study design
Eligibility
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The time spent writing reports | Intraoperative | Sum of the time for writing gastroscopic report and colonoscopic report。 |