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

Recruiting now

Conditions studied: Colonoscopy

In brief

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).

Key facts

Study ID

NCT07658716

Run by

NYU Langone Health

People needed

100

Starts

2026-03-24

Expected to finish

2028-03-24

Last updated by the study team

2026-06-22

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

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.

Where it is running

• NYU Langone Health — New York, New York, United States (enrolling)

Full record on ClinicalTrials.gov

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