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Not yet recruiting NCT06905782

Artificial Intelligence (AI) Technology May Help Patients to Understand Bowel Preparation Better Before They go for Colonoscopy.This Study Attempts to Leverage AI Chatbot in Counselling Patients to Improve Bowel Cleanliness, Reduce Anxiety as Well as Increase Procedural Satisfaction

No phase Interventional Colorectal Cancer Screening Colon Polyps and Adenomas Bowel Preparation Quality Artificial Intelligence (AI)

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: AI chatbot study arm, Traditional counselling study arm.
Who it may be relevant to
Registry conditions: Colorectal Cancer Screening, Colon Polyps and Adenomas, Bowel Preparation Quality, Artificial Intelligence (AI). Basic parameters: 18 years — 75 years · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Malaysia
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

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Official title

Prospective Single Blinded Randomized Control Trial on the Effectiveness of Using Large Language Model Artificial Intelligence Chatbot to Improve Boston Bowel Preparation Score (BBPS) for Colonoscopy Preparation

Overview

Traditional pre-colonoscopy counselling requires significant time from healthcare workers to explain procedures, limiting efficiency and patient turnover. Inadequate bowel preparation exacerbates this issue, leading to repeat procedures and increased costs. However, no study has yet evaluated the effectiveness of AI in improving the Boston Bowel Preparation Scale (BBPS) for colonoscopy preparation. By addressing this gap, AI chatbots could provide personalized guidance, reduce healthcare worker burden, improve preparation quality, and enhance patient experience.This research attempts to evaluate the effectiveness of using Artificial intelligence (AI) chat bot to improve bowel preparation, anxiety level and patient's satisfaction among colonoscopy patients in Hospital Tuanku Muhriz (HCTM), compared to conventional instructions

Interventions

  • Procedure AI chatbot study arm
    Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans)
  • Procedure Traditional counselling study arm
    Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans)

Primary outcome measures

  • To determine the effectiveness of artificial intelligence (AI) chat bot in improving bowel preparation among colonoscopy patients in Hospital Tuanku Mukhriz (HCTM), compared to conventional instructions [Time frame: 1 year]
Secondary outcome measures (2)
  • To determine the effectiveness of AI chat bot in relieving anxiety among colonoscopy patients in HCTM, compared to conventional instructions. [Time frame: 1 year]
  • To determine the effectiveness of AI chat bot in improving satisfaction among colonoscopy patients in HCTM, compared to conventional instructions. [Time frame: 1 year]

Eligibility criteria

Inclusion criteria

  • All scheduled colonoscopy with indication
  • Adequate digital literacy
  • Adequate language literacy with Malay and English language

Exclusion criteria

  • Patients with memory impairment due to previous stroke, dementia or Alzheimer's disease
  • Diagnosed with clinical anxiety

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Allocation
Randomized
Model
Parallel assignment
Masking
Single blind
Primary purpose
Diagnostic

Study locations

Malaysia · 1 center
  • Faculty of Medicine, The National University of Malaysia — Cheras

Publications

  • Mohammad Azmi N, Abdul Jalal MI, Mohd Ashar SH, Mohd Nazri MI, Jie Y, Ganeson N, Augustine JK, Qian YS. A prospective single-masked, non-inferiority, parallel-group randomized controlled trial of the efficacy of a ChatGPT-based AI chatbot to improve Boston bowel preparation scores for colonoscopy preparation: A trial protocol. PLoS One. 2025 Oct 15;20(10):e0334349. doi: 10.1371/journal.pone.033434 PMID 41091774

Identifiers

NCT: NCT06905782 · JEP-2025-035

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗