United StatesHealthcare and life sciences2023 – ongoingSanford Health
AI risk stratification for colorectal cancer screening
Sanford Health reported colonoscopy waits fell by over 2 months after risk-based screening triage
Problem
Limited gastroenterologist capacity constrained colorectal cancer screening. Rural patients also faced travel and time-off-work barriers to colonoscopy.
Approach
Sanford introduced an enterprise screening program in 2023 with an AI model embedded in its electronic medical record. The model used nontraditional risk factors to identify average-risk patients suitable for stool-based tests, preserving colonoscopy capacity for higher-risk patients. Primary care teams helped adapt the outreach workflow to patients' circumstances.
Results
Takeaway
The model supported a change in screening routes. The waiting-time result covered the wider screening program, including outreach and clinical review.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
The case study described Sanford's deployed risk-based screening program. It reported shorter colonoscopy waits after average-risk patients were redirected toward stool-based testing.
Full details are in the original sources.