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Agenda

Time Title Speaker Objectives
7:15 AM Registration, Breakfast Provided, and Exhibits — Summarize the different types of continuous glucose monitors.
8:15 AM Opening Remarks — Identify common factors that impact CGM performance and reliability.
8:30 AM Advancing Diabetes Technology in Primary Care: CGM, Automated Insulin Delivery, and the Essential Role of the CDCES David Shelburne, MD Define diabetes management fatigue, common emotional, cognitive, and behavioral warning signs, and distinguish it from nonadherence.
9:30 AM From Algorithms to Outcomes: Practical Strategies for Automated Insulin Delivery Emily Matney, RN, CDCES, CPN Discuss the pathophysiology of DKA caused by insulin deficiency.
10:30 AM Break & Exhibits — Describe how expanding diabetes technology management in primary care through CGM and Automated Insulin Delivery (AID) improves care access and outcomes when delivered through a team-based model that includes CDCES expertise.
10:45 AM Breakout Session 1 — Differentiate core AID system options relevant to primary care and identify appropriate patient candidates, CDCES support needs, and escalation points to ensure safe, confident adoption within the primary care setting.
10:45 AM Troubleshooting Continuous Glucose Monitors Heather Venoy, RDN, LDN, CDCES Differentiate common high-friction patient communication patterns in diabetes care (e.g., disinhibited/angry, system-frustrated, passive/withdrawn, anxiety/vulnerability, boundary-pushing) and identify the likely need underlying the message.
10:45 AM GLP-1 Management Julie Pruitt, PharmD Apply a practical primary care workflow that leverages CDCESs for patient education, device initiation, data interpretation, and follow-up, supporting both CGM use and early AID adoption.
11:45 AM Lunch Provided & Exhibits — Describe the staging of Type 1 Diabetes.
12:50 PM Breakout Session 2 — Identify the benefits of early Type 1 diabetes detection.
12:50 PM Words That Move Care Forward: Building Trust Across Visits, Messages, and Systems in Diabetes Care Carrie Keyes, MMS, PA-C Identify current Automated Insulin Delivery Systems by describing key algorithm features and indications for Type 1 and Type 2 diabetes.
12:50 PM Understanding Ketones and DKA Prevention Courtney Edwards, PA-C Evaluate patient-specific factors (clinical, behavioral, and lifestyle) to appropriately match individuals with the most suitable AID system.
1:50 PM Break — —
2:00 PM Changing Type 1 Diabetes Trajectory: The Power of Early Detection Alexandra Dias, DO —
3:00 PM Diabetes Management Fatigue: Recognition, Impact, and Clinical Response Brianna Prim-Reed, MSW, LCSW —
4:00 PM Adjourn — —

Learning Objectives

  1. Summarize the different types of continuous glucose monitors.
  2. Identify common factors that impact CGM performance and reliability.
  3. Define diabetes management fatigue, common emotional, cognitive, and behavioral warning signs, and distinguish it from nonadherence.
  4. Discuss the pathophysiology of DKA caused by insulin deficiency.
  5. Describe how expanding diabetes technology management in primary care through CGM and Automated Insulin Delivery (AID) improves care access and outcomes when delivered through a team-based model that includes CDCES expertise.
  6. Differentiate core AID system options relevant to primary care and identify appropriate patient candidates, CDCES support needs, and escalation points to ensure safe, confident adoption within the primary care setting.
  7. Differentiate common high-friction patient communication patterns in diabetes care and identify the likely need underlying the message.
  8. Apply a practical primary care workflow that leverages CDCESs for patient education, device initiation, data interpretation, and follow-up.
  9. Describe the staging of Type 1 Diabetes.
  10. Identify the benefits of early Type 1 diabetes detection.
  11. Identify current Automated Insulin Delivery Systems by describing key algorithm features and indications for Type 1 and Type 2 diabetes.
  12. Evaluate patient-specific factors (clinical, behavioral, and lifestyle) to appropriately match individuals with the most suitable AID system.