Colonoscopy surveillance recommendations: does an algorithm improve timing decisions

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study from NYU Langone Health aims to compare an algorithm-guided approach to traditional methods for determining colonoscopy surveillance intervals. It will assess how accurately the algorithm guides timing, as well as the time needed to generate recommendations and the potential time-related cost savings. The study includes gastroenterologists and primary care physicians at NYU Langone Health and Bellevue who consent to participate. No interventions beyond algorithm-assisted decision-making are specified. The lead sponsor is NYU Langone Health, with locations in New York, NY.

Why it matters

Who can join: the full rules

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.

Where it's running

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

Study contacts

• Principal investigator: Renee Williams, MD — NYU Langone Health
• Study coordinator: Renee Williams, MD
• Email: Renee.williams@nyulangone.org
• Phone: 212-562-6647

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.