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

NYU Langone Health

Status: Enrolling

Conditions: Colonoscopy

Study type: Observational

Funder types: Other

Identifiers

NCT07658716

24-01693

Details and patient eligibility

About

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).

Enrollment: 100 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

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.

Trial design

100 participants in 1 patient group

Gastroenterologists and Primary Care Physicians

Description:

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.