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Artificial intelligence

Geisinger Launches AI-Enabled Breast Cancer Screening Program

Strategic Insights

— 1 min read

Geisinger Health has announced the launch of an artificial intelligence (AI)-enabled breast cancer screening program designed to identify high-risk patients and refer them for early detection and treatment. The program uses an AI model that evaluates female patients with Geisinger primary care providers who are overdue for a mammogram and flags 50 patients at the highest risk for breast cancer based on their electronic health record information. These patients are then contacted by Geisinger's Care Gaps team to assist them in scheduling a mammogram and referring them to the high-risk breast clinic for ongoing monitoring.

Key Takeaways:

  • Geisinger's AI model evaluates all female patients with primary care providers who are overdue for a mammogram on a monthly basis to identify high-risk patients.
  • The model flags 50 patients at the highest risk for breast cancer based on information in their electronic health record, such as family history or other health conditions.
  • Geisinger's Care Gaps team contacts these patients to inform them about their risk and assist them in scheduling a mammogram.
  • The team also works with primary care providers to refer these patients to Geisinger's high-risk breast clinic for ongoing monitoring.
  • Research shows that early detection of breast cancer can lead to a 99% 5-year survival rate.
  • The AI model was developed by Geisinger's data science team led by Biplab Bhattacharya, Ph.D., and can predict breast cancer risk using readily available electronic health record data.
  • The program increases efficiency of outreach and improves screening rates for high-risk patients.
  • The program effectively integrates with current workflows and is a critical step toward improving early detection and outcomes.

Statistics:

  • 50 patients flagged by the AI model as being at the highest risk for breast cancer based on their electronic health record information.
  • 99% 5-year survival rate for breast cancer patients when detected early.
  • Research shows that screening rates for high-risk patients can be improved through targeted outreach and referrals.

Sources:

  • Geisinger Health
  • Keith Boell, D.O., Geisinger's chief quality officer
  • Biplab Bhattacharya, Ph.D., program director for data science at Geisinger
  • geisinger.org/breastcare

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