Evaluating the Effectiveness of a Colonoscopy Surveillance Recommendations Algorithm in Clinical Practice

June 16, 2026 updated by: NYU Langone Health
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).

Study Overview

Status

Recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • United States
    • New York
      • New York, New York, United States, 10016
        • Recruiting
        • NYU Langone Health

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Gastroenterologists and primary care physicians.

Description

Inclusion Criteria:

  • Gastroenterologists and primary care physicians, including residents and fellows, currently practicing at NYU Langone Health, and Bellevue.
  • Willing and able to provide consent

Exclusion Criteria:

  • Physicians not practicing in relevant fields or those with conflicts of interest.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Accuracy of surveillance timing recommendations
Time Frame: Day 0
Day 0
Time taken to answer each scenario
Time Frame: Day 0
Day 0

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

NYU Langone Health

Investigators

  • Principal Investigator: Renee Williams, MD, NYU Langone Health

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

March 24, 2026

Primary Completion (Estimated)

March 24, 2028

Study Completion (Estimated)

March 24, 2028

Study Registration Dates

First Submitted

June 16, 2026

First Submitted That Met QC Criteria

June 16, 2026

First Posted (Actual)

June 22, 2026

Study Record Updates

Last Update Posted (Actual)

June 22, 2026

Last Update Submitted That Met QC Criteria

June 16, 2026

Last Verified

June 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • 24-01693

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

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.

IPD Sharing 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.

IPD Sharing 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.

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Subscribe