A model to design financially sustainable algorithm-enabled remote patient monitoring for pediatric type 1 diabetes care

A model to design financially sustainable algorithm-enabled remote patient monitoring for pediatric type 1 diabetes care

IntroductionPopulation-level algorithm-enabled remote patient monitoring (RPM) based on continuous glucose monitor (CGM) data review has been shown to improve clinical outcomes in diabetes patients, especially children. However, existing reimbursement models are geared towards the direct provision o...

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Bibliographic Details
Main Authors: Paul Dupenloup, Ryan Leonard Pei, Annie Chang, Michael Z. Gao, Priya Prahalad, Ramesh Johari, Kevin Schulman, Ananta Addala, Dessi P. Zaharieva, David M. Maahs, David Scheinker
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Endocrinology
Subjects:
type 1 diabetes (T1D)
continuous glucose monitoring (CGM)
remote patient monitoring (RPM)
algorithm-enabled telemedicine
hemoglobin A1c (HbA1c)
pediatrics
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.1021982/full

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https://www.frontiersin.org/articles/10.3389/fendo.2022.1021982/full

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