Evaluating the Effectiveness of a Colonoscopy Surveillance Recommendations Algorithm in Clinical Practice
1 other identifier
observational
100
1 country
1
Brief Summary
The primary objective is to determine if the use of the colonoscopy surveillance recommendations algorithm increases the accuracy of surveillance timing recommendations compared to traditional methods. The secondary objective is to assess the time required to make surveillance recommendations with and without the algorithm, determine the efficiency gains (the average time saved per recommendation), and evaluate the opportunity cost (the financial value of the time saved).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Mar 2026
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 24, 2026
CompletedFirst Submitted
Initial submission to the registry
June 16, 2026
CompletedFirst Posted
Study publicly available on registry
June 22, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 24, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
March 24, 2028
June 22, 2026
June 1, 2026
2 years
June 16, 2026
June 16, 2026
Conditions
Outcome Measures
Primary Outcomes (2)
Accuracy of surveillance timing recommendations
Day 0
Time taken to answer each scenario
Day 0
Study Arms (1)
Gastroenterologists and Primary Care Physicians
Each participant will complete a questionnaire in two parts: First Half: Participants will answer clinical scenarios using traditional methods without the algorithm. Second Half: Participants will use the colonoscopy surveillance recommendations algorithm to answer clinical scenarios.
Eligibility Criteria
Gastroenterologists and primary care physicians.
You may qualify if:
- Gastroenterologists and primary care physicians, including residents and fellows, currently practicing at NYU Langone Health, and Bellevue.
- Willing and able to provide consent
You may not qualify if:
- Physicians not practicing in relevant fields or those with conflicts of interest.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
NYU Langone Health
New York, New York, 10016, United States
Study Officials
- PRINCIPAL INVESTIGATOR
Renee Williams, MD
NYU Langone Health
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 16, 2026
First Posted
June 22, 2026
Study Start
March 24, 2026
Primary Completion (Estimated)
March 24, 2028
Study Completion (Estimated)
March 24, 2028
Last Updated
June 22, 2026
Record last verified: 2026-06
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
- Time Frame
- Beginning 9 months and ending 36 months following article publication or as required by a condition of awards and agreements supporting the research.
- Access Criteria
- The investigator who proposed to use the data will be granted access upon reasonable request and to achieve aims in the approved proposal. Requests should be directed to Renee.Williams@nyulangone.org. To gain access, data requestors will need to sign a data access agreement. This instance of data sharing will also require separate IRB review as well as review from NYU Langone's DSSB.
The de-identified participant data from the final research dataset will be shared upon reasonable request beginning 9 to 36 months after publication or as required by a condition of awards or supporting agreements, provided the requesting investigator executes a data use agreement with NYU Langone Health. This instance of data sharing will also require separate IRB review as well as review from NYU Langone's Data Sharing Strategy Board (DSSB). Requests should be directed to: Renee.Williams@nyulangone.org. The protocol and statistical analysis plan will be posted on Clinicaltrials.gov only as required by federal regulation or supporting awards and agreements.