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Technology in Weight Management: Where Do Dietitians Fit?

Technology in Weight Management- Where Do Dietitians Fit?

Technology in Weight Management: Where Do Dietitians Fit?

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While the use of technology in weight management is not new, the current landscape of available digital tools, including generative artificial intelligence (AI), is evolving more quickly than most dietitians can keep up. AI-generated meal-plans, data from various apps/wearables, and misinformation from technology are presented to dietitians by their clients, yet most are not prepared to navigate these conversations. Even when relying on evidence-based practice for obesity care, most dietitians lack guidance on which digital tools are appropriate, how to talk with patients about information that is inaccurate, and how to integrate technology ethically into the nutrition care process.

This session brings together three complementary experts that bridge dietetics/nutrition training, AI and practice standards, and weight-management clinical practice. Through moderated discussion, the panel will address critical challenges: determining which technology support nutrition care; applying professional and ethical standards to digital tools; and partnering with clients who bring various and even problematic, technology-derived information. This panel will offer clear, evidence-informed guidance for using technology safely and effectively.

Attendees will leave with practical strategies and language for partnering with their clients to ensure that digital tools and AI can become supportive in weight management practice, not a source of confusion.

Product Publish Details

Release Date: October 24, 2026

SKU: FNCE2674

CPEU: 1.50 (Valid Until September 15, 2029)

Learning Objectives

  • Determine the appropriate use of digital tools and AI applications used in weight management nutrition care
  • Implement ethical and professional guardrails when using technology and AI in obesity care related education and counseling
  • Describe collaborative approaches in partnering with clients in the selection and use of appropriate technology in patient-centered weight management practice

Performance Indicators

  • 1.3.1 Recognizes actual or potential ethical issues and dilemmas encountered in practice.
  • 6.3.5 Understands emerging technologies (e.g., AI, machine learning) and associated ethical considerations, including bias, data ownership, transparency, and the responsible use of data by healthcare professionals or clients.
  • 9.2.2 Keeps abreast of and incorporates current evidence-based practice related to the management of diseases and clinical conditions.

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