About this trial
The quality of bowel preparation hinges on how well patients follow the prep-drug regimen, so intensive education is essential. Phone calls, texts, short videos, and mini-programs have all been shown to boost compliance and improve prep quality. Still, we also need a way to spot-early-those patients who are likely to prep poorly so we can step in with a rescue plan.
In our pilot work the investigators built an AI-assisted mini-program that lets patients photograph their effluent and get an instant quality read-out. The single-center RCT showed excellent performance. Because these findings came from one center, the investigators are now launching a multicenter study to test the tool more broadly. Patients will use the AI mini-program at home; if the algorithm predicts inadequate prep it will prompt them to come in early or alert staff so the investigators can initiate a rescue protocol and, ultimately, improve bowel-cleansing quality.
Eligibility criteria
Qualifiers
Age ≥ 18 years
Undergoing colonoscopy at a participating site
Able to defecate in a toilet (or in a setting where stool characteristics can be observed) after taking the bowel-prep solution
Proficient in using a smartphone
Disqualifiers
American Society of Anesthesiologists (ASA) class III or IV;
Gastric-outlet or intestinal obstruction; ③ Active gastrointestinal bleeding; ④ Enterostomy (colostomy/ileostomy); ⑤ Status post total colectomy.
Trial design
Treatments tested in this trial
- The app group
Treatment groups
Locations
Sponsors and collaborators
Sixth Affiliated Hospital, Sun Yat-sen University
Lead sponsor
Tianjin Haihe Hospital
Collaborator
Guangdong Second Provincial General Hospital
Collaborator
Dongguan Hospital of Traditional Chinese Medicine
Collaborator
Cangzhou Central Hospital
Collaborator