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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

ConditionsColorectal Cancer ScreeningColon Polyps and AdenomasBowel Preparation QualityArtificial Intelligence (AI)
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18-75
SponsorNational University of Malaysia

About this trial

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

This trial accepts healthy volunteers

Qualifiers

All scheduled colonoscopy with indication

Adequate digital literacy

Adequate language literacy with Malay and English language

Disqualifiers

Patients with memory impairment due to previous stroke, dementia or Alzheimer's disease

Diagnosed with clinical anxiety

Trial design

Design model

Parallel

Treatments tested in this trial

  • AI chatbot study arm

    Procedure/Surgery

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

  • Traditional counselling study arm

    Procedure/Surgery

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

Treatment groups

96 Participants
are divided into 2 treatment groups
Group A: Artificial Intelligence (AI) ChatbotExperimental treatment 2 interventions
Group B: Conventional counselling by healthcare workersOther 2 interventions

Trial outcomes

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

Other outcomes

Locations

1

Map coordinates are unavailable for these locations. Locations are shown below instead.

Faculty of Medicine, The National University of Malaysia Status unavailable 56000, Cheras, Kuala LumpurMalaysiaMalaysia

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

National University of Malaysia

Lead sponsor

Source ClinicalTrials.gov

This trial is not recruiting at the moment. You can still explore other options: