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

ABSTRACT:

Introduction

Population-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 of clinic care, not population health management. We developed a financial model to assist pediatric type 1 diabetes (T1D) clinics design financially sustainable RPM programs based on algorithm-enabled review of CGM data.

Methods

Data were gathered from a weekly RPM program for 302 pediatric patients with T1D at Lucile Packard Children's Hospital. We created a customizable financial model to calculate the yearly marginal costs and revenues of providing diabetes education. We consi

SUBMITTER: Dupenloup P 

PROVIDER: S-EPMC9691757 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature