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Quality Improvement Intervention in Colonoscopy Using Artificial Intelligence

NCT03622281 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 676

Last updated 2020-02-12

No results posted yet for this study

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.

Conditions

  • Quality Control
  • Artificial Intelligence
  • Colonoscopy

Interventions

OTHER

quality improvement intervention using artificial intelligence

Colonoscopists received performance measure monitoring and feedback

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-10-20
Primary Completion
2019-05-31
Completion
2019-05-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03622281 on ClinicalTrials.gov