Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone ApplicationNCT07791641
The Effectiveness of Bowel Preparation in Colonoscopy Patients Using Artificial Intelligence-assisted Nursing Education
A study testing The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assist and rountine care in people with Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application and Bowel Preparation for Colonoscopy, run by Evian Lin at 1 site in Taiwan.
Trial summary
Background: Colonoscopy is a critical diagnostic and screening tool for colorectal cancer, and its effectiveness largely depends on bowel preparation quality. Traditionally, bowel preparation education has been provided by nurses using written materials and verbal instructions. Read more about this study
- Who is it for?
- Ages 20 years and older
- Conditions the study is for
- Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application, Bowel Preparation for Colonoscopy
- What is being tested?
- The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assist and rountine care
- Type of treatment
- Medical device
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 140 participants
- Where
- 1 siteTaiwan
- Study dates
- 4 Aug 2025to 30 Dec 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 20 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Hospitalized patients scheduled for colonoscopy who are aged 20 years or older. Able to read and write. Conscious and able to communicate in Mandarin Chinese. Own a smartphone and have basic skills in using the LINE application.
Who cannot join
- Patients undergoing hemodialysis or peritoneal dialysis. Unable to read or write. Patients receiving an enema during the bowel preparation process. Patients unable to take oral bowel preparation agents. Patients unable to consume a large volume of fluids. Individuals who do not meet the inclusion criteria. Patients scheduled for colonoscopy on the day before or the same day as the procedure without prior scheduling.
- Patients with intestinal stricture, bowel obstruction, or obstruction caused by an intestinal tumor.
- Patients with moderate or severe active gastrointestinal bleeding (>100 mL/day).
Trial locations and contacts
1 site in 1 country.
About this study
Background: Colonoscopy is a critical diagnostic and screening tool for colorectal cancer, and its effectiveness largely depends on bowel preparation quality. Traditionally, bowel preparation education has been provided by nurses using written materials and verbal instructions. However, clinical workload pressures and staffing shortages frequently result in inadequate patient comprehension and poor adherence, negatively impacting bowel cleanliness, polyp or adenoma detection rates, examination quality, and overall medical efficiency. Recent advancements in artificial intelligence (AI) suggest potential improvements in patient education and adherence through AI-based interventions. Nevertheless, systematic studies assessing the effectiveness of AI smartphone applications (APPs) specifically tailored for bowel preparation education within local cultural and clinical contexts remain limited.
Objective: This study aims to evaluate the effectiveness of an AI-integrated smartphone application designed for bowel preparation education before colonoscopy, focusing on patient cognition regarding bowel preparation, satisfaction with nursing education, and bowel cleanliness outcomes.
Read more
Methods: A randomized controlled trial was conducted in the gastroenterology ward of a regional hospital in southern Taiwan. A total of 140 hospitalized patients scheduled for colonoscopy were enrolled and randomly assigned to either the experimental group (n=70) or the control group (n=70). The experimental group received multimodal education through an AI-based smartphone application, featuring visual and textual information, educational videos, and interactive chatbot dialogues. In contrast, the control group received conventional written and verbal nursing instructions. Demographic data were collected prior to colonoscopy. Post-examination evaluations included bowel cleanliness assessment (using the Aronchick Scale), nursing education satisfaction, and bowel preparation cognition questionnaires administered before and after the intervention. The overall effectiveness of the APP-based intervention was analyzed.
Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application
- Conditions
- Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application, Bowel Preparation for Colonoscopy
- Being tested
- The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assist, rountine care
- Keywords
- Artificial Intelligence、Bowel Preparation、Colonoscopy、Smartphone Application、Patient Education
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assistDevice
Background: Colonoscopy is a critical diagnostic and screening tool for colorectal cancer, and its effectiveness largely depends on bowel preparation quality. Traditionally, bowel preparation education has been provided by nurses using written materials and verbal instructions. However, clinical workload pressures and staffing shortages frequently result in inadequate patient comprehension and poor adherence, negatively impacting bowel cleanliness, polyp or adenoma detection rates, examination quality, and overall medical efficiency. Recent advancements in artificial intelligence (AI) suggest potential improvements in patient education and adherence through AI-based interventions. Nevertheless, systematic studies assessing the effectiveness of AI smartphone applications (APPs) specifically tailored for bowel preparation education within local cultural and clinical contexts remain limited.
Objective: This study aims to evaluate the effectiveness of an AI-integrated smartphone applicatio
rountine careOther
rountine care
| Study group | Role | What they receive |
|---|---|---|
| The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assiste | Experimental | Not described Receives: Device: The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assist; Other: rountine care |
| The control group received traditional written and verbal education. | Placebo comparator | control Receives: Device: The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assist; Other: rountine care |
What is being measured
The primary outcome is the main question the study is designed to answer.
Bowel Preparation Quality Assessed Using the Aronchick Scale
Bowel preparation quality will be assessed by the endoscopist using the Aronchick Scale at the time of colonoscopy. The scale classifies bowel preparation into five categories: Excellent, Good, Fair, Poor, and Inadequate. The outcome will be reported as the proportion of participants with adequate bowel preparation, defined as an Aronchick rating of Excellent or Good. Fair, Poor, and Inadequate will be classified as inadequate bowel preparation.
Measured: At the time of colonoscopy, following completion of bowel preparation
Secondary outcomes (2)
Bowel Preparation Knowledge
Bowel preparation knowledge will be assessed using a 10-item true-or-false questionnaire covering the purpose of colonoscopy, low-residue diet, clear-liquid diet, and fluid intake requirements. Each correct response will receive 10 points and each incorrect response will receive 0 points, resulting in a total score ranging from 0 to 100. Higher scores indicate greater knowledge of bowel preparation.
Measured: At baseline before the educational intervention and immediately after completion of the educational intervention
Satisfaction With Nursing Education
Satisfaction with nursing education will be assessed using a 10-item questionnaire comprising five dimensions: communication quality and interaction, clarity and completeness of information, psychological and emotional support and sense of security, assistance with bowel preparation, and overall satisfaction and willingness to reuse. Each item is rated on a 5-point Likert scale from 1 (very dissatisfied) to 5 (very satisfied). Mean scores will be calculated for each dimension, ranging from 1 to 5, with higher scores indicating greater satisfaction with nursing education.
Measured: Immediately after completion of the nursing education intervention
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted28 Aug 2026
- Study start4 Aug 2025
- Primary completion30 Dec 2025
- Study completion30 Dec 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone ApplicationStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 140 participants (actual)
Sponsor and investigators
- Lead sponsor
- Evian Lin
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Evian Lin, Chiayi Christian Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07791641
- Sponsor's protocol ID
- 2025080
- Status last verified
- Sep 2026
- First submitted
- 21 Aug 2026
- Last updated
- 29 Sep 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 29 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Effectiveness of Bowel Preparation in Colonoscopy Patients Using Artificial Intelligence-assisted Nursing Education
- ClinicalTrials.gov ID
- NCT07791641
- Acronym / sponsor ID
- 2025080
- Conditions
- Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application, Bowel Preparation for Colonoscopy
- Keywords
- Artificial Intelligence、Bowel Preparation、Colonoscopy、Smartphone Application、Patient Education
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 140 participants (actual)
- Lead sponsor
- Evian LinUniversity, hospital or other
- Study start
- 4 Aug 2025 (actual)
- Primary completion
- 30 Dec 2025 (actual)
- Study completion
- 30 Dec 2025 (actual)
- First posted
- 28 Aug 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Background: Colonoscopy is a critical diagnostic and screening tool for colorectal cancer, and its effectiveness largely depends on bowel preparation quality. Traditionally, bowel preparation education has been provided by nurses using written materials and verbal instructions. However, clinical workload pressures and staffing shortages frequently result in inadequate patient comprehension and poor adherence, negatively impacting bowel cleanliness, polyp or adenoma detection rates, examination quality, and overall medical efficiency. Recent advancements in artificial intelligence (AI) suggest potential improvements in patient education and adherence through AI-based interventions. Nevertheless, systematic studies assessing the effectiveness of AI smartphone applications (APPs) specifically tailored for bowel preparation education within local cultural and clinical contexts remain limited.
Objective: This study aims to evaluate the effectiveness of an AI-integrated smartphone application designed for bowel preparation education before colonoscopy, focusing on patient cognition regarding bowel preparation, satisfaction with nursing education, and bowel cleanliness outcomes.
Methods: A randomized controlled trial was conducted in the gastroenterology ward of a regional hospital in southern Taiwan. A total of 140 hospitalized patients scheduled for colonoscopy were enrolled and randomly assigned to either the experimental group (n=70) or the control group (n=70). The experimental group received multimodal education through an AI-based smartphone application, featuring visual and textual information, educational videos, and interactive chatbot dialogues. In contrast, the control group received conventional written and verbal nursing instructions. Demographic data were collected prior to colonoscopy. Post-examination evaluations included bowel cleanliness assessment (using the Aronchick Scale), nursing education satisfaction, and bowel preparation cognition questionnaires administered before and after the intervention. The overall effectiveness of the APP-based intervention was analyzed.
Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assiste | Experimental | Device: The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assist, Other: rountine care |
| The control group received traditional written and verbal education. | Placebo comparator | Device: The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assist, Other: rountine carecontrol |
Who may qualify
- Ages
- 20 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (1 listed)
- Hospitalized patients scheduled for colonoscopy who are aged 20 years or older. Able to read and write. Conscious and able to communicate in Mandarin Chinese. Own a smartphone and have basic skills in using the LINE application.
Key exclusion criteria (3 listed)
- Patients undergoing hemodialysis or peritoneal dialysis. Unable to read or write. Patients receiving an enema during the bowel preparation process. Patients unable to take oral bowel preparation agents. Patients unable to consume a large volume of fluids. Individuals who do not meet the inclusion criteria. Patients scheduled for colonoscopy on the day before or the same day as the procedure without prior scheduling.
- Patients with intestinal stricture, bowel obstruction, or obstruction caused by an intestinal tumor.
- Patients with moderate or severe active gastrointestinal bleeding (>100 mL/day).
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assistBackground: Colonoscopy is a critical diagnostic and screening tool for colorectal cancer, and its effectiveness largely depends on bowel preparation quality. Traditionally, bowel preparation education has been provided by nurses using written materials and verbal instructions. However, clinical workload pressures and staffing shortages frequently result in inadequate patient comprehension and poor adherence, negatively impacting bowel cleanliness, polyp or adenoma detection rates, examination quality, and overall medical efficiency. Recent advancements in artificial intelligence (AI) suggest potential improvements in patient education and adherence through AI-based interventions. Nevertheless, systematic studies assessing the effectiveness of AI smartphone applications (APPs) specifically tailored for bowel preparation education within local cultural and clinical contexts remain limited. Objective: This study aims to evaluate the effectiveness of an AI-integrated smartphone applicatio | Device | The control group received traditional written and verbal education., The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assiste |
| rountine carerountine care | Other | The control group received traditional written and verbal education., The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assiste |
Primary outcome
Bowel Preparation Quality Assessed Using the Aronchick Scale
Time frame: At the time of colonoscopy, following completion of bowel preparation
Bowel preparation quality will be assessed by the endoscopist using the Aronchick Scale at the time of colonoscopy. The scale classifies bowel preparation into five categories: Excellent, Good, Fair, Poor, and Inadequate. The outcome will be reported as the proportion of participants with adequate bowel preparation, defined as an Aronchick rating of Excellent or Good. Fair, Poor, and Inadequate will be classified as inadequate bowel preparation.
2 secondary outcomes
Bowel Preparation Knowledge
Time frame: At baseline before the educational intervention and immediately after completion of the educational intervention
Satisfaction With Nursing Education
Time frame: Immediately after completion of the nursing education intervention
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 29 Sep 2026.
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing The effectiveness of bowel preparation in colonoscopy patients using artificial intelligence-assist and rountine care in people with Keywords: Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application and Bowel Preparation for Colonoscopy, run by Evian Lin at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 29 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Bowel Preparation Quality Assessed Using the Aronchick Scale (time frame: At the time of colonoscopy, following completion of bowel preparation). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 29 Sep 2026.