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
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
1 other identifier
interventional
96
1 country
1
Brief Summary
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
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Apr 2025
Shorter than P25 for not_applicable
1 active site
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
First Submitted
Initial submission to the registry
March 15, 2025
CompletedFirst Posted
Study publicly available on registry
April 1, 2025
CompletedStudy Start
First participant enrolled
April 1, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 2, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
February 2, 2026
CompletedApril 1, 2025
March 1, 2025
10 months
March 15, 2025
March 24, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
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
Patients in interventional arm will be receiving counselling via interaction with AI chatbot.Each interaction session were limited to 15 minutes maximum. The quality of bowel preparation will be graded by the masked endoscopists using Boston Bowel Preparation Score (BBPS). Each of the three colon segments (right, transverse and left) will be assigned scores (0 - 3) . 0 - unprepared colon while 3 indicates the best possible preparation.A total score will range from 0 to 9, where higher scores indicate better bowel preparation.
1 year
Secondary Outcomes (2)
To determine the effectiveness of AI chat bot in relieving anxiety among colonoscopy patients in HCTM, compared to conventional instructions.
1 year
To determine the effectiveness of AI chat bot in improving satisfaction among colonoscopy patients in HCTM, compared to conventional instructions.
1 year
Study Arms (2)
Artificial Intelligence (AI) Chatbot
EXPERIMENTALPatient's who will be interacting with AI chatbot for bowel preparation counselling
Conventional counselling by healthcare workers
OTHERPatients receiving conventional way of counselling for bowel preparation before colonoscopy
Interventions
Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans)
Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans)
Eligibility Criteria
You may qualify if:
- All scheduled colonoscopy with indication
- Adequate digital literacy
- Adequate language literacy with Malay and English language
You may not qualify if:
- Patients with memory impairment due to previous stroke, dementia or Alzheimer's disease
- Diagnosed with clinical anxiety
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Faculty of Medicine, The National University of Malaysia
Cheras, Kuala Lumpur, 56000, Malaysia
Related Publications (1)
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.0334349. eCollection 2025.
PMID: 41091774DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Nabil Mohammad Azmi, Doctor of General Surgery
Faculty of Medicine, The National University of Malaysia
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- CARE PROVIDER
- Masking Details
- Endoscopist performing the colonoscopy will be masked
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- General Surgeon & Lecturer
Study Record Dates
First Submitted
March 15, 2025
First Posted
April 1, 2025
Study Start
April 1, 2025
Primary Completion
February 2, 2026
Study Completion
February 2, 2026
Last Updated
April 1, 2025
Record last verified: 2025-03
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, ICF, CSR
- Time Frame
- APRIL 2025 - FEBRUARY 2026
Study Protocol , Informed Consent Form, Clinical Study Report upon considerable request