The purpose of this activity is to enable the learner to understand the various types of insulin currently available for managing diabetes, including insulins pharmacokinetics and pharmacodynamics. Using case-based applications, the learner will apply their knowledge to formulate person-center insulin treatment plans for people with diabetes from a variety of populations and social determinants of health. Cases will focus on approaches to optimal insulin management, including how and when to add, continue or deprescribe insulin.
Credit & MOC Details
Credit information is provided by the course provider. We recommend confirming credit eligibility with the provider or your licensing board before starting the activity.
Credit types
MOC types
FDA REMS
Qualifies for MIPS
Target Specialties
Top 6 courses
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2027 Diabetes Technology Conference
9 Credits
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Specialties served/covered
- Cardiovascular Disease
- Clinical Informatics
- Clinician Wellness & Burnout
- Communication & Shared Decision-Making
- Endocrinology, Diabetes & Metabolism
- Family Medicine
- Gastroenterology
- General & Adult Psychiatry
- General Pediatrics
- Health Equity & Inclusion
- Hospital Medicine
- Maternal-Fetal Medicine
- Medical Leadership & Administration
- Metabolic & Bariatric Surgery
- Mood & Anxiety Disorders
- Nephrology
- Obstetrics & Gynecology
- Patient Education & Health Literacy
- Patient Safety & Quality Improvement
- Practice Management & Ethics
- Cardio-Vascular
- Cross-Specialty
- GI & Liver
- Medical Subspecialties
- Ob/Gyn
- Pediatrics
- Primary care
- Psychiatry
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- Case-based learning
- Credit · Up to 1.5 credits
- Paid · fee on provider site
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ReleasedSep 9, 2026
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Last day to claim creditSep 10, 2027 11 months left
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Association of Diabetes Care & Education Specialists CS01: Practical Applications for Prandial Insulin: The Gateway to Diabetes Health
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Association of Diabetes Care & Education Specialists Guidelines for Non-Insulin Medication Management of Type 2 Diabetes 2026
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Association of Diabetes Care & Education Specialists Case Studies in Automated Insulin Delivery: Real-World Scenarios
