From Data to Decisions: Analyzing Automated Insulin Delivery Reports

From Data to Decisions: Analyzing Automated Insulin Delivery Reports | Recording

Recorded Webinar

This webinar is designed to assist clinicians, particularly those in primary care, in interpreting the reports generated by automated insulin delivery (AID) systems. Participants will learn how to identify key report components, interpret analytical techniques, and glean insights into clinical practice using real-world case studies.

Overview

This webinar is designed to assist clinicians, particularly those in primary care, in interpreting the reports generated by automated insulin delivery (AID) systems. Participants will learn how to identify key report components, interpret analytical techniques, and glean insights into clinical practice using real-world case studies.

Learning Objectives

Identify key components of reports generated by Food and Drug Administration (FDA)-approved AID systems.
Apply appropriate interpretation techniques to analyze AID system data.
Utilize case-based examples to integrate report findings into clinical decision making.

Speakers

	Marissa Bowdler, PharmD, BCACP, TTS Clinical Pharmacy Specialist, Indiana University Health
	Zeb Ijaz Saeed, M.B., B.S. Associate Endocrinologist, Brigham and Women’s Hospital Instructor of Medicine, Harvard Medical School
	Viral Shah, MD Professor of Medicine, Indiana University School of Medicine