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Our Clinical Partners
Customer feedback during 3-month trial (Oct-Nov 2021)
Results & Feedback
Results & Feedback
From Recent Deployments
Users agree with decision support algorithm 76% of the time, compared to the 44% benchmark*
4 out of 5 agree the DreaMed Uploader saves time compared to previous solutions.
4 out of 5 agree that DreaMed Uploader is compatible with more devices than the previous solution
5 out of 5 agree they are satisfied with the new process of not printing verses the old process of having to print reports.
*A study comparing 26 expert physicians’ pump treatment settings, found 44% agreement rate between experts; Nimri R et al, Diabetes Obes Metab. June 8, 2018
Testimonials
We Customers Are Saying...
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”
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.”
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."
Dr. Joshua Tarkoff
Nicklause Children’s Hospital
“With endo.digital in my clinic, patient meetings become
more efficient. I spend more time focusing on them
rather than looking at huge amounts of data.”
diabetes device data uploader