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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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Artificial Intelligence (AI) Chatbot | Experimental | Patient's who will be interacting with AI chatbot for bowel preparation counselling |
|
| Conventional counselling by healthcare workers | Other | Patients receiving conventional way of counselling for bowel preparation before colonoscopy |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI chatbot study arm | Procedure | Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans) |
|
| Measure | Description | Time Frame |
|---|---|---|
| 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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+ |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Nabil Mohammad Azmi, Doctor in General Surgery | Contact | +60122177050 | nabil@ukm.edu.my |
| Name | Affiliation | Role |
|---|---|---|
| Nabil Mohammad Azmi, Doctor of General Surgery | Faculty of Medicine, The National University of Malaysia | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Faculty of Medicine, The National University of Malaysia | Cheras | Kuala Lumpur | 56000 | Malaysia |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41091774 | Derived | 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. |
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Study Protocol , Informed Consent Form, Clinical Study Report upon considerable request
APRIL 2025 - FEBRUARY 2026
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Mar 24, 2025 |
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Prospective, single-masked, randomized control trial
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Endoscopist performing the colonoscopy will be masked
| Traditional counselling study arm | Procedure | Intervention arm will have to undergo bowel preparation using standard polyethylene glycol solution (Fortrans) |
|
| 1 year |
| 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. | 1 year |
| Mar 24, 2025 |
| Prot_SAP_000.pdf |
| ID | Term |
|---|---|
| D003111 | Colonic Polyps |
| D000236 | Adenoma |
| D015179 | Colorectal Neoplasms |
| D017060 | Patient Satisfaction |
| ID | Term |
|---|---|
| D007417 | Intestinal Polyps |
| D011127 | Polyps |
| D020763 | Pathological Conditions, Anatomical |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
| D007414 | Intestinal Neoplasms |
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D004066 | Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D003108 | Colonic Diseases |
| D007410 | Intestinal Diseases |
| D012002 | Rectal Diseases |
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |
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