ClinicalTrials.gg
Not yet recruitingNCT06905782Updated Apr 1, 2025

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

An interventional study of AI chatbot study arm and Traditional counselling study arm in Colorectal Cancer Screening, Colon Polyps and Adenomas and Bowel Preparation Quality, sponsored by National University of Malaysia. Not yet recruiting at 1 site in Malaysia. Open to participants aged 18 Years to 75 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-04-01.

Sponsored by National University of Malaysia · Not applicable, Interventional, and Diagnostic

From the registry’s dates

  • Primary completion was expected by Feb 2026, 8 months ago, but the record still lists the study as not yet recruiting.
Phase
Not applicable
Study type
Interventional
Enrollment
96
Allocation
Randomized
Ages
18 Years to 75 Years
Sex
All
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Study 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

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Conditions studied

  • Colorectal Cancer Screening
  • Colon Polyps and Adenomas
  • Bowel Preparation Quality
  • Artificial Intelligence (AI)

Keywords

  • colorectal cancer
  • colon polyp
  • colonoscopy
  • bowel preparation
  • Boston Bowel Preparation Score (BBPS)
  • artificial intelligence
  • AIChatbot
  • large language model
  • patient satisfaction
  • cancer screening
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In context

Colonic Polyps

326 studies on the registry are indexed under Colonic Polyps; 53 are open to participants now.

This study's planned enrollment of 96 is below the median of 264 across 221 interventional studies indexed under Colonic Polyps.

Browse Colonic Polyps studies →

Lead sponsor

National University of Malaysia is the lead sponsor of 124 studies on the registry; 45 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years to 75 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

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

Exclusion criteria

Exclusion Criteria:

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

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Care provider)
Enrollment
96 participants (estimated)

Study arms

  • Experimental
    Artificial Intelligence (AI) Chatbot

    Patient's who will be interacting with AI chatbot for bowel preparation counselling

    Procedure: AI chatbot study arm · Procedure: Traditional counselling study arm

  • Other
    Conventional counselling by healthcare workers

    Patients receiving conventional way of counselling for bowel preparation before colonoscopy

    Procedure: AI chatbot study arm · Procedure: Traditional counselling study arm

Interventions

  • ProcedureAI chatbot study arm

    Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans)

  • ProcedureTraditional counselling study arm

    Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans)

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What researchers measure

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.

    Time frame: 1 year

Secondary outcomes

  1. To determine the effectiveness of AI chat bot in relieving anxiety among colonoscopy patients in HCTM, compared to conventional instructions.

    Anxiety level for both arms will be measured before and after colonoscopy using the validated Depression Anxiety and Stress Scale 21 (Anxiety Scale). Is a self-reporting scale that measure the the anxiety.DASS interpretation ;Normal 0-7, Mild 8-9, Moderate 10-14, Severe 15-19 and Extremely severe 20+

    Time frame: 1 year

  2. To determine the effectiveness of AI chat bot in improving satisfaction among colonoscopy patients in HCTM, compared to conventional instructions.

    Patients from both arms will be interviewed after colonoscopy using the validated Patient Satisfaction Questionnaire (PSQ).PSQ are a set of questionnaires that help researchers to understand patient experiences and identify areas of improvement.Patients will be evaluated on multiple domains- general satisfaction, technical quality, interpersonal aspect, clarity of communication,access to care and confidence in healthcare provider. Each domain will be given scores according to the Likert scale ranging from 1 to 5. 1 means very dissatisfied while 5 means very satisfied.

    Time frame: 1 year

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Study locations

1 site
  • Faculty of Medicine, The National University of Malaysia
    Cheras, Kuala Lumpur 56000, Malaysia
    • Nabil Mohammad Azmi, Doctor of General Surgery · Contact · nabil@ukm.edu.my · +60122177050
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References and documents

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.0334349. eCollection 2025. PubMed 41091774 ↗

Study documents

  • Protocol and statistical analysis plan · Mar 24, 2025

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: Yes — Study Protocol , Informed Consent Form, Clinical Study Report upon considerable request

Supporting information: Study protocol, Informed consent form, Clinical study report

Time frame: APRIL 2025 - FEBRUARY 2026

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Apr 1, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06905782
Responsible party
Nabil Mohammad Azmi (General Surgeon & Lecturer, National University of Malaysia) — Principal investigator
First posted
Apr 1, 2025
Start date
Apr 1, 2025 (estimated)
Primary completion
Feb 2, 2026 (estimated)
Completion
Feb 2, 2026 (estimated)
Last update
Apr 1, 2025

Study contacts

Nabil Mohammad Azmi, Doctor in General Surgery
Contact
nabil@ukm.edu.my
+60122177050
Nabil Mohammad Azmi, Doctor of General Surgery
principal investigator · Faculty of Medicine, The National University of Malaysia

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Mar 2025. You cannot join it, but the record below documents what was studied.

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