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Impact of Artificial Intelligence-based Patient Reinforcement on Quality of Colonoscopy

NCT05041283 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 258

Last updated 2021-09-27

No results posted yet for this study

Summary

In order to improve bowel preparation for colonoscopy and consequently enhance detection rate of malignant and premalignant findings, a prospective, randomized and controlled three-arm study was developed. Patients who undergo ambulatory colonoscopy are randomly assigned into a control group with standard preparation, a phone call supported preparation group or a group supported by an artificial intelligence based chatbot. Primary endpoint is defined as quality of bowel preparation (Boston Bowel Preparation Score), secondary endpoints are patients satisfaction, comprehensiveness of bowel preparation, sedation dose, rate of coecal intubation and the rate of adenoma and polyp detection, anxiety referred to colonoscopy and patients satisfaction with preparation support.

Conditions

  • Bowel Preparation

Interventions

OTHER

Chatbot

A artificial-intelligence based chatbot is provided 3 days before colonoscopy to answer questions concerning bowel preparation and colonoscopy conduct.

OTHER

Phone call

A phone call is performed every day starting at 3 days before colonoscopy to support bowel preparation.

Sponsors & Collaborators

  • University of Ulm

    lead OTHER

Principal Investigators

  • Thomas Seufferlein, Prof. · University Hospital Ulm

Study Design

Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-05-21
Primary Completion
2022-02-01
Completion
2022-02-01

Countries

  • Germany

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 NCT05041283 on ClinicalTrials.gov