Food as Medicine and AI in Nutrition
A Three-Hour Seminar for Dietitians and Nutritionists
Thursday, March 5
5:30pm – 9:00pm (ET)
Cost:
- Eligible 1199SEIU members: No out-of-pocket costs
- All other participants: $75
Live Webcast (Internet)
The deadline to register for this event is Wednesday, March 4.
Program and Learning Objectives
5:30 pm – Participants Log in
5:50 pm – Welcome and Introductory Remarks
6:00 pm – Food as Medicine – Clinical and Community Applications
Presenter:
Sally S. Wong, PhD, RD, CDN, FAHA
Descriptive Summary:
This presentation will explore the “food as medicine” approach as an evidence-based strategy to prevent, manage and treat chronic disease. Participants will examine how nutrition interventions, medically tailored meals and culturally responsive dietary guidance can be integrated into clinical and community-based care. Translating research into practice, addressing social determinants of health and collaborating across healthcare teams to improve patient outcomes will be discussed.
Learning Objectives:
Upon completion, participants will be able to:
- Define the food as medicine framework and its role in chronic disease prevention and management;
- Identify evidence-based nutrition interventions used in clinical and community settings;
- Recognize the impact of social determinants of health on dietary access and outcomes; and
- Apply culturally appropriate and patient-centered nutrition strategies in practice.
7:30 pm – AI in Nutrition: Innovation, Ethics and Practical Use
Presenter:
Drew Hemler, MSc, RD, CDN, FAND
Descriptive Summary:
This presentation will examine the growing role of artificial intelligence (AI) and digital health technologies in nutrition care. Participants will explore how AI-driven tools are used for dietary assessment, personalized nutrition planning, population health analytics and client engagement. Ethical considerations, data privacy, limitations of AI and the importance of professional judgment will be discussed.
Learning Objectives:
Upon completion, participants will be able to:
- Describe current and emerging AI applications in nutrition and dietetics practice;
- Evaluate the benefits and limitations of digital nutrition tools and platforms;
- Identify ethical, legal and privacy considerations related to AI use in nutrition care; and
- Integrate AI-supported tools into nutrition practice while maintaining professional standards.
9:00 pm — Participants receive program evaluation information.
Accreditation
Dietitians/Dietetic Technicians
An application has been submitted to the Commission for Dietetic Registration (CDR) for continuing education units.
Other Healthcare Professionals
All other healthcare professionals will receive a general certificate of attendance. Please check with your accreditation board with respect to receiving credit for this program.
Presenters:
Sally S. Wong, PhD, RD, CDN, FAHA
Drew Hemler, MSc, RD, CDN, FAND
Eligibility for 1199SEIU Members
Training and Employment Fund Members
Members must have been a part-time or full-time employee for at least one year, work at least three-fifths of a regular workweek, and work for an employer who contributes to the 1199SEIU Training and Upgrading Fund or the 1199SEIU Greater New York Education Fund.
City of New York Education, Child and Eldercare Fund Members
Pharmacists, Dietitians, Clinical Laboratory Practitioners and LPNs must have worked with NYC Health + Hospitals or a mayoral agency for at least one year.
For Further Information
Call (212) 894-4390
Email: Institute@1199Funds.org
Refund and Cancellation Policy
If you wish to cancel, you must do so at least 48 hours before the program date to avoid a penalty. To cancel, contact the 1199SEIU League Training and Upgrading Fund (TUF) by telephone, (212) 894-4390; fax, (212) 643-8795; or email, Institute@1199Funds.org. TUF reserves the right to cancel or reschedule a program in the event of insufficient enrollment or unforeseen circumstances. Participants will be notified and given the option of receiving a refund or attending the rescheduled program or an alternate program.
