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OpenTrials
Completed

NCT Number: NCT03622281

Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence

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.

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Key information

Conditions

Quality Control Artificial Intelligence Colonoscopy

Age range

18 year–80 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Department of Gastroenterology, Qilu Hospital, Shandong University

Jinan, Shandong, 250012, China

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

quality improvement intervention using artificial intelligence

Other

Colonoscopists received performance measure monitoring and feedback

Primary outcomes

  1. 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.

Sponsors and collaborators

Lead sponsor

Shandong University

Other

Registry information

Important dates

Study start
2018
Primary completion
2019
Study completion
2019
First posted
Aug 9, 2018
Registry last updated
Feb 12, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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