Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence

Colonoscopy Clinical Trial

Official title:

Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT03622281
• Other study ID #: 2018SDU-QILU-716
• Status: Completed
• Phase: N/A
• Start date: October 20, 2018
• Est. completion date: May 31, 2019

Study information

• Verified date: February 2020
• Source: Shandong University
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

Quality measures in colonoscopy are important guides for improving the quality of patient care. But quality improvement intervention is not taking place, primarily because of the inconvenience and expense. To address the difficulties above, we used artificial intelligence for quality control of colonoscopy.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 676
• Est. completion date: May 31, 2019
• Est. primary completion date: May 31, 2019
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years to 80 Years

Eligibility

Inclusion Criteria:

• aged between 18 and 80;

• agree to give written informed consent.

Exclusion Criteria:

• patients with the contraindications to colonoscopy examination;

• patients with a history of inflammatory bowel disease (IBD), CRC, colorectal surgery;

• patients with prior failed colonoscopy and high suspicion of polyposis syndromes, IBD and typical advanced CRC;

• patients refused to participate in the trial;

• the colonoscopyprocedure cannot be completed due to stenosis, obstruction, huge occupying lesions, or solid stool;

• the colonoscopy procedure have to be terminated due to complications of anaesthesia.

Related Conditions & MeSH terms

• Artificial Intelligence
• Colonoscopy
• Quality Control

Intervention

Other:
• quality improvement intervention using artificial intelligence
Colonoscopists received performance measure monitoring and feedback

Locations

Country	Name	City	State
China	Department of Gastroenterology, Qilu Hospital, Shandong University	Jinan	Shandong

Sponsors (1)

Lead Sponsor	Collaborator
Shandong University

Country where clinical trial is conducted

China, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Adenoma detection rate	Adenoma detection rate was defined as the number of exams with findings of adenoma divided by the total number of exams.	8 months