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In this episode of Diabetes Dialogue, hosts Diana Isaacs, PharmD, an endocrine clinical pharmacist, director of Education and Training in Diabetes Technology, and codirector of Endocrine Disorders in Pregnancy at the Cleveland Clinic, and Natalie Bellini, DNP, program director of Diabetes Technology at University Hospitals Diabetes and Metabolic Care Center, speak with Eran Atlas, chief executive officer of DreaMed Diabetes, on the evolution and current functionality of his company’s automated insulin technology, originally developed within a prominent diabetes treatment center in Israel, and now integrated with Medtronic’s 780G system.

Atlas Described how DreaMed Diabetes started focusing on automated insulin delivery but has expanded into developing a comprehensive digital care platform. This platform, called endo.digital, is designed to optimize insulin therapy for people with diabetes using AI-driven algorithms. It can gather data from various devices, including continuous glucose monitors (CGMs) and insulin pumps, analyze it, and offer tailored insulin recommendations to providers, which can be automatically integrated into the patient’s medical records.

Atlas further explained how the platform supports both insulin pump users and those on multiple daily injections (MDI). Hosts discussed how this algorithm could detect potential issues, such as incorrect carb ratios, missed insulin doses, or improper basal insulin adjustments, and subsequently provide actionable recommendations for providers. These insights are aimed at improving the quality of care and increasing accessibility to expert care for people with diabetes, especially in settings where endocrinologists are not readily available. Currently, the system is FDA-cleared to work with glucose data and doesn’t require direct insulin data input, as it can infer insulin events from glucose trends.

The company’s platform is currently deployed in multiple health systems, including the Yale University health system and Boston Children’s Hospital, with a focus on increasing its reach to primary care providers. Atlas indicated one key benefit of the platform is its ability to save providers significant time by automating documentation and visit summaries, which has already resulted in hundreds of hours saved in health systems.

Looking forward, Atlas described how DreamMed Diabetes is expanding its offerings, including working on solutions for basal-only insulin patients and enhancing the platform’s capabilities to include other diabetes therapies, such as GLP-1 medications. Atlas emphasized the company's mission to improve care access and outcomes, particularly in underserved populations.

0:00 Introduction and Background of DreaMed Diabetes

1:46 Current Functionality and Features of DreaMed Diabetes Platform

4:44 Algorithm Capabilities and Insights

7:06 Cloud-to-Cloud Integration and User Engagement

9:37 Onboarding Process and Data Analysis

21:00 Financial Benefits and Budget Neutrality

25:31 Future Enhancements and Broader Applications