NCT07791641

Brief Summary

Background: Colonoscopy is a critical diagnostic and screening tool for colorectal cancer, and its effectiveness largely depends on bowel preparation quality. Traditionally, bowel preparation education has been provided by nurses using written materials and verbal instructions. However, clinical workload pressures and staffing shortages frequently result in inadequate patient comprehension and poor adherence, negatively impacting bowel cleanliness, polyp or adenoma detection rates, examination quality, and overall medical efficiency. Recent advancements in artificial intelligence (AI) suggest potential improvements in patient education and adherence through AI-based interventions. Nevertheless, systematic studies assessing the effectiveness of AI smartphone applications (APPs) specifically tailored for bowel preparation education within local cultural and clinical contexts remain limited. Objective: This study aims to evaluate the effectiveness of an AI-integrated smartphone application designed for bowel preparation education before colonoscopy, focusing on patient cognition regarding bowel preparation, satisfaction with nursing education, and bowel cleanliness outcomes. Methods: A randomized controlled trial was conducted in the gastroenterology ward of a regional hospital in southern Taiwan. A total of 140 hospitalized patients scheduled for colonoscopy were enrolled and randomly assigned to either the experimental group (n=70) or the control group (n=70). The experimental group received multimodal education through an AI-based smartphone application, featuring visual and textual information, educational videos, and interactive chatbot dialogues. In contrast, the control group received conventional written and verbal nursing instructions. Demographic data were collected prior to colonoscopy. Post-examination evaluations included bowel cleanliness assessment (using the Aronchick Scale), nursing education satisfaction, and bowel preparation cognition questionnaires administered before and after the intervention. The overall effectiveness of the APP-based intervention was analyzed. Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
140

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Aug 2025

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

Study Start

First participant enrolled

August 4, 2025

Completed
5 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 30, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 30, 2025

Completed
8 months until next milestone

First Submitted

Initial submission to the registry

August 21, 2026

Completed
7 days until next milestone

First Posted

Study publicly available on registry

August 28, 2026

Completed
Last Updated

August 28, 2026

Status Verified

August 1, 2026

Enrollment Period

5 months

First QC Date

August 21, 2026

Last Update Submit

August 27, 2026

Conditions

Keywords

Artificial Intelligence、Bowel Preparation、Colonoscopy、Smartphone Application、Patient Education

Outcome Measures

Primary Outcomes (1)

  • Bowel Preparation Quality Assessed Using the Aronchick Scale

    Bowel preparation quality will be assessed by the endoscopist using the Aronchick Scale at the time of colonoscopy. The scale classifies bowel preparation into five categories: Excellent, Good, Fair, Poor, and Inadequate. The outcome will be reported as the proportion of participants with adequate bowel preparation, defined as an Aronchick rating of Excellent or Good. Fair, Poor, and Inadequate will be classified as inadequate bowel preparation.

    At the time of colonoscopy, following completion of bowel preparation

Secondary Outcomes (2)

  • Bowel Preparation Knowledge

    At baseline before the educational intervention and immediately after completion of the educational intervention

  • Satisfaction With Nursing Education

    Immediately after completion of the nursing education intervention

Study Arms (2)

The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assiste

EXPERIMENTAL
Device: The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assistOther: rountine care

The control group received traditional written and verbal education.

PLACEBO COMPARATOR

control

Device: The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assistOther: rountine care

Interventions

Background: Colonoscopy is a critical diagnostic and screening tool for colorectal cancer, and its effectiveness largely depends on bowel preparation quality. Traditionally, bowel preparation education has been provided by nurses using written materials and verbal instructions. However, clinical workload pressures and staffing shortages frequently result in inadequate patient comprehension and poor adherence, negatively impacting bowel cleanliness, polyp or adenoma detection rates, examination quality, and overall medical efficiency. Recent advancements in artificial intelligence (AI) suggest potential improvements in patient education and adherence through AI-based interventions. Nevertheless, systematic studies assessing the effectiveness of AI smartphone applications (APPs) specifically tailored for bowel preparation education within local cultural and clinical contexts remain limited. Objective: This study aims to evaluate the effectiveness of an AI-integrated smartphone applicatio

The control group received traditional written and verbal education.The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assiste

rountine care

The control group received traditional written and verbal education.The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assiste

Eligibility Criteria

Age20 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Hospitalized patients scheduled for colonoscopy who are aged 20 years or older. Able to read and write. Conscious and able to communicate in Mandarin Chinese. Own a smartphone and have basic skills in using the LINE application.

You may not qualify if:

  • Patients with intestinal stricture, bowel obstruction, or obstruction caused by an intestinal tumor.
  • Patients with moderate or severe active gastrointestinal bleeding (\>100 mL/day).
  • 有一點特別注意

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Chia-Yi Christian Hospital

Chiayi City, Chiayi City, 60002, Taiwan

Location

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
SUPPORTIVE CARE
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Head Nurse

Study Record Dates

First Submitted

August 21, 2026

First Posted

August 28, 2026

Study Start

August 4, 2025

Primary Completion

December 30, 2025

Study Completion

December 30, 2025

Last Updated

August 28, 2026

Record last verified: 2026-08

Locations