Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence

February 10, 2020 updated by: Yanqing Li, Shandong University
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.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

676

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • China
    • Shandong
      • Jinan, Shandong, China, 250012
        • Department of Gastroenterology, Qilu Hospital, Shandong University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 80 years (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

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.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Health Services Research
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Colonoscopists who received quality intervention
Other: quality improvement intervention using artificial intelligence
Colonoscopists received performance measure monitoring and feedback
No Intervention: Colonoscopists who did not received quality intervention

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Adenoma detection rate
Time Frame: 8 months
Adenoma detection rate was defined as the number of exams with findings of adenoma divided by the total number of exams.
8 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Shandong University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 20, 2018

Primary Completion (Actual)

May 31, 2019

Study Completion (Actual)

May 31, 2019

Study Registration Dates

First Submitted

July 16, 2018

First Submitted That Met QC Criteria

August 4, 2018

First Posted (Actual)

August 9, 2018

Study Record Updates

Last Update Posted (Actual)

February 12, 2020

Last Update Submitted That Met QC Criteria

February 10, 2020

Last Verified

February 1, 2020

More Information

Terms related to this study

Other Study ID Numbers

  • 2018SDU-QILU-716

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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