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NCT Number: 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

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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Key information

Conditions

Colorectal Cancer Screening Adenoma Artificial Intelligence (AI) Behavior Bowel Preparation Quality Colon Polyps and Adenomas Colonic Diseases Colonic Polyps Colorectal Neoplasms Digestive System Diseases Digestive System Neoplasms Gastrointestinal Diseases Gastrointestinal Neoplasms Health Behavior Intestinal Diseases Intestinal Neoplasms Intestinal Polyps Neoplasms Neoplasms by Histologic Type Neoplasms by Site Neoplasms, Glandular and Epithelial Pathological Conditions, Anatomical Pathological Conditions, Signs and Symptoms Patient Satisfaction Polyps Rectal Diseases Treatment Adherence and Compliance

Age range

18 year–75 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Faculty of Medicine, The National University of Malaysia

Cheras, Kuala Lumpur, 56000, Malaysia

Location contact

Nabil Mohammad Azmi, Doctor of General Surgery

CONTACT

[email protected]

+60122177050

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

AI chatbot study arm

Procedure

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

Traditional counselling study arm

Procedure

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

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

    Time frame: 1 year

    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.

Secondary outcomes

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

    Time frame: 1 year

    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+

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

    Time frame: 1 year

    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.

Study contacts

Contact information is provided by the study sponsor or research team.

Nabil Mohammad Azmi, Doctor in General Surgery

CONTACT

[email protected]

+60122177050

Sponsors and collaborators

Lead sponsor

National University of Malaysia

Other

Registry information

Official study 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

Important dates

Study start
2025
Primary completion
2026
Study completion
2026
First posted
Apr 1, 2025
Registry last updated
Apr 1, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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