AI-informed Colorectal Cancer (CRC) Screening Navigation vs. Standard of Care Among Screening-naive Penn Medicine Patients 45-49 Years Old to Increase CRC Screening Uptake

Overview

This project aims to use machine learning algorithms (MLA) to identify and risk-stratify individuals between the ages of 45-49 who are more likely to have colorectal pathology and merit prioritized CRC screening and patient navigation. Patients deemed to be at higher risk for CRC by MLA will be randomized to an intervention group to receive risk-informed patient navigation and a usual care control group. The patient navigation will assist in completing either a fecal immunochemical test (FIT) or a colonoscopy. For the usual care control group, patients may still receive patient navigation for colonoscopy assistance. A referral to a nurse navigator can be initiated by a healthcare staff member in the following ways: 1) procedure scheduling staff will provide navigator's contact number if the patient expresses difficulty with obtaining a ride home 2) endoscopy staff and physicians can message navigator electronically 3) PCPs can place a navigation order in the EHR for patients deemed to need additional support such as with prep, education, transportation 4) providers will directly contact the director of the navigation system (Dr. Carmen Guerra) for referral.

Conditions

Interventions