Advancing the Precision of Nutrition Diagnosis to Improve Outcomes
Advancing the Precision of Nutrition Diagnosis to Improve Outcomes
Your Price $0.00 - $54.00
| Membership Type | Pricing |
|---|---|
| Member | $0.00 |
| Non-Member | $54.00 |
Many dietitians and nutrition students receive only foundational training in writing nutrition diagnoses, yet this skill is central to effective care planning, clear communication, and measurable patient outcomes.
In this interactive session, participants will move beyond the basics to refine how they identify, prioritize, and clearly articulate nutrition problems across intake, clinical, and behavioral–environmental domains. Attendees will gain advanced strategies for selecting the most impactful diagnoses when multiple issues are present and for crafting documentation that demonstrates both clinical precision and professional value.
Through real-world examples and case studies, participants will practice using Nutrition Care Process Terminology (NCPT) to create nutrition diagnoses that accurately reflect patient needs and support tracking outcomes for quality improvement and research. By connecting high-quality documentation to improved outcomes, clinicians can strengthen opportunities for recognition from which may lead to better pay and professional advancement.
This session highlights the tangible impact of mastering nutrition diagnosis. Students, registered dietitians, and educators will leave with enhanced confidence, clarity, and influence in their practice.
CPEU: (Valid Until August 31, 2029)
Learning Objectives
- Recognize how high-quality documentation contributes to improved outcomes while also improving communication, reimbursement, and recognition of the impact of MNT from the RDN.
- Explore challenges and opportunities for leveraging artificial intelligence in nutrition care documentation.
- Differentiate among nutrition problems across intake, clinical, and behavioral-environmental domains to accurately prioritize diagnoses in case scenarios.
Performance Indicators
- 11.2.15 Evaluate changes in measurable assessment data to communicate progress and/or resolution of nutrition diagnoses
- 11.2.14 Effectively documents and communicates nutrition assessment evidence and nutrition diagnoses.
- 8.4.9 Uses clinical data to inform reimbursement and payment models for health and nutrition services.
Casey Colin, DCN, RDN, LDN, FAND
Speaker
Dr. Casey Colin serves as Director of Nutrition and Dietetic Undergraduate Programs and is an associate professor at the University of North Florida, bringing more than 17 years of experience in dietetics practice. She is a member of the Nutrition Care Process Terminology Board of Editors, the Academy of Nutrition and Dietetics' Council on Future Practice, and the International Commission of Dietitians Education and Accreditation (I-CDEA) Steering Council. Her research centers on demonstrating the impact of medical nutrition therapy through rigorous use of the Nutrition Care Process and Terminology.
Dr. Colin believes that advancing the dietetics profession requires objective data linking registered dietitian nutritionists' care to meaningful outcomes. She is a strong advocate for registry study participation among practicing RDNs and for building the evidence base needed to secure recognition, reimbursement, and influence across healthcare. Her vision is for RDNs to stand alongside physicians, nurses, and allied health professionals as essential contributors to patient care.
Her ongoing mission is to inspire RDNs at all levels to lead with research proficiency, ethical clinical practice, peer education, professional advocacy, and community engagement at the forefront.
Dana Scheunemann, PhD, MS, RD, CD
Speaker
Dana Scheunemann, PhD, MS, RD, CD, is the director for the Master of Science in Advanced Dietetics program and assistant professor in the Integrated Master of Science in Nutrition and Dietetics program at Mount Mary University. She is passionate about integrating artificial intelligence (AI) into dietetic education and preparing students for a world with AI.
Last year, Scheunemann began working part-time for a company that provides nutrition counseling via telehealth throughout the United States. While working in this capacity, she obtained experience using AI-assisted medical record charting. She integrates hands-on experience with AI-assisted charting tools and insights from the latest research to provide an expert perspective on improving documentation accuracy and efficiency, while evaluating the benefits and risks of these technologies in clinical practice.
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