Bowel Preparation Quality

Colonoscopy is a routine procedure for evaluating gastrointestinal symptoms, detecting colorectal cancer, and removing polyps. Its effectiveness depends on patient compliance with bowel preparation instructions. However, inadequate bowel preparation occurs in 20-25% of colonoscopies, often due to non-adherence, medical conditions, or long waiting times. Poor preparation can reduce examination quality, prevent detection of precancerous lesions, and increase healthcare costs. Video-based education has been shown to be more effective than written or verbal instructions in improving bowel preparation. This study aims to evaluate the effect of video-based education on colonoscopy bowel preparation and contribute evidence to optimize patient compliance.

The goal of this study is to assess the clinical and cost-effectiveness of the AI bowel preparation evaluation system in reducing the consumption volume of the standard high-volume PEG regimen before colonoscopy among the older population. Researchers will compare bowel preparation adequacy and other colonoscopy quality matrices, and patient satisfaction between patients using the AI system and those using Standard Practice.

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