AI-Guided Risk Stratification for Medication Reconciliation for Patients with Diabetes

Seung-Yup (Joshua) Lee, Ph.D.
University of Alabama at Birmingham

Project Goals and Relevance

Project Objectives:

This project integrates artificial intelligence (AI) into medication reconciliation to identify patients with diabetes, ensuring more accurate and targeted interventions.

Target Population:

Patients with diabetes receiving care at UAB Medical Center or Cooper Green Mercy Health Services—particularly those managing complex medication regimens or affected by non-clinical determinants of health during post-discharge care transitions. 

Relevance to Community:

Medication discrepancies contribute to poor diabetes outcomes, particularly among patients with health literacy challenges or financial constraints. This project addresses these gaps by optimizing resource allocation through AI-guided risk stratification.

Intervention/Approach

Strategies Used:

Relevance:

The project acknowledges differences in medication access and adherence, designing the AI system to incorporate economic and health literacy considerations.

Expected Outcomes

• Improved Medication Safety: Reduced medication discrepancies and adverse drug events.
• Better Diabetes Management: Enhanced adherence to diabetes treatment plans.
• Efficient Resource Use: Targeted allocation of healthcare resources to patients most in need.

Community Action Tips

• Keep a Medication List: Maintain an updated list of all medications you take, including over-the-counter drugs. (Source: FDA. “Tips for Managing Your Medicines.” FDA Medication Tips)
• Ask Questions: Don’t hesitate to ask your pharmacist or doctor about your medications. (source: National Institute on Aging (NIA). “Questions to Ask About Medications.” NIA Medication Questions)
• Follow Prescriptions: Take medications as directed to avoid complications. (source: American Diabetes Association (ADA). “Medication Management.” ADA Medication Management)

Recruitment Details

Participation Information:

The study is conducting a mixed methods study to develop an AI system for patients with diabetes at UAB Medical Center and Cooper Green Mercy Health Services.

Eligibility Criteria:

Participants must have a diabetes diagnosis and be at risk for medication discrepancies with recent (< 6 months) hospitalization or ED visit.

Contact Information:

For more information, please contact the research team at (205) 934-4315 or slee9@uab.edu.

Not eligible? Access the National Diabetes Education Program’s resources on medication management.