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

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.

Sex

All

Minimum age

45 Years

Maximum age

49 Years

Inclusion Criteria:

1. Age 45-49
2. Not up to date with CRC screening within the recommended period of time (colonoscopy within 10 years, FIT within 1 year, Cologuard within 3 years, sigmoidoscopy within 3-5 years)
3. Have primary care providers in Penn Internal Medicine and Family Medicine Practices
4. Have at least 1 outpatient CBC in the past 12 months.

Exclusion Criteria:

1. Prior history of CRC
2. Late-stage cancer of any organ (stage 4)
3. History of colectomy
4. Demonstrated high-risk of colorectal cancer (e.g. inflammatory bowel disease, hereditary colorectal cancer syndromes)