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Yale’s case study shows using endo.digital leads to significantly higher growth in CGM adoption, billed encounters, and total charges compared to traditional care.
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Dreamed Introduction
endo.digital Interview with Dr. Danielle Benaviv-Meskin
Streamline workflows.
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Testimonials
Lisa Stump
SVP, Chief Information and Digital Transformation Officer, Yale New Haven Health System
"My organization deals with many technology vendors. Care for patients with diabetes adds to this challenge due to all the disparate diabetes devices required for these patients. This new technology will not only improve clinical operations but reduce the need for multiple integrations and installations by the IT team."
Lisa Ranes
RD LN CDNES Manager of Diabetes Endocrinology and Metabolism Center
"endo.digital is the only platform in the market positioned to deliver a true one-stop shop solution. The platform supports my staff’s entire workflow, from data acquisition, interpretation to the documentation we need for payer reimbursement. This is especially important in today’s very tight budget environment, where we need to be able to show hard dollar value in order to justify budget for new software. Not only is endo.digital saving my staff time and helping them deliver great care, but also demonstrated a significant increase in capturing revenue for the work my staff is doing."
Dr. Kate Garvey
Clinical Chief of Diabetes, Boston Children’s
"There is no alternative on the market that offers the scope of FDA-cleared decision support offered by endo.digital. Our clinical team members trust the recommendations generated by the algorithm. This not only saves us time, but also gives lower licensure staff the confidence they can trust the output without the extra burden of doing additional analysis or getting approval from a higher licensure clinician".
Dena McCusker
Mother of Cameron who is living with T1D
"endo.digital has been a game-changer for my daughter’s A1C! The algorithm has empowered us to analyze components available in the basal and bolus settings that seem to have been overlooked for years."
Stuart A. Weinzimer
Professor of "Yale School of Medicine"
"endo.digital is an algorithm that indeed "thinks" like a diabetes expert."