Clinical trial 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
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
Study type: INTERVENTIONAL
Overall status: NOT_YET_RECRUITING
Phase: NA
Conditions: 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
Lead sponsor: National University of Malaysia
Sponsor class: OTHER
First posted: 2025-04-01
Enrollment: 96
Sex: ALL
Minimum age (years): 18
Maximum age (years): 75
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: yes
Allocation: RANDOMIZED
Intervention model: PARALLEL
Intervention model description: Prospective, single-masked, randomized control trial
Primary purpose: DIAGNOSTIC

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


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

Primary outcomes:
measure: 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
timeFrame: 1 year
Secondary outcomes:
measure: To determine the effectiveness of AI chat bot in relieving anxiety among colonoscopy patients in HCTM, compared to conventional instructions.
timeFrame: 1 year
measure: To determine the effectiveness of AI chat bot in improving satisfaction among colonoscopy patients in HCTM, compared to conventional instructions.
timeFrame: 1 year
Other outcomes:
Locations:
city: Cheras
country: Malaysia
facility: Faculty of Medicine, The National University of Malaysia
state: Kuala Lumpur
Study officials:
affiliation: Faculty of Medicine, The National University of Malaysia
name: Nabil Mohammad Azmi, Doctor of General Surgery
role: PRINCIPAL_INVESTIGATOR
References: