P503 - Generative AI’s Clinical Potential in T1D Management: An ADA Standards-Based Approach

Keeping up with the most up-to-date clinical guidelines can be daunting, making the application of cutting-edge findings into everyday patient care challenging. Generative AI has the potential to revolutionize clinical practice. By leveraging advanced algorithms and vast datasets, AI can potentially analyze complex medical data to provide precise and personalized clinical recommendations for managing chronic conditions like type 1 diabetes. This poster describes research that explores the application of generative AI in clinical settings, focusing on T1D management, that endeavors to bridge the gap in understanding how generative AI can bolster clinical decision-making in line with established medical guidelines. The authors examined the internal consistency and external consensus of clinical recommendations generated by two AI platforms, aligning with the American Diabetes Association’s Standards of Medical Care – 2022. By comparing the AI-generated recommendations vertically within each platform and horizontally across platforms and against a clinician’s decisions using a complex clinical case, we aimed to gauge the reliability and potential of AI in enhancing diabetes care and education. Authors: Clipper F. Young, PharmD, MPH, CDCES, BC-ADM, BCGP, APh, FADCES; Shirley Wong, PharmD, Touro University California College of Osteopathic Medicine, Department of Clinical Sciences and Community Health. Funding source: None listed.