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Journal of Medical Internet Research|August 7, 2025
Impact of Initial Cardiology Telemedicine Evaluation on Follow-Up Visits for Common Conditions: Quasi-Experimental StudyNeil M Kalwani, Harrison Koos, Emily Kohn, et al.Frontiers in Endocrinology|November 28, 2022
A model to design financially sustainable algorithm-enabled remote patient monitoring for pediatric type 1 diabetes carePaul Dupenloup, Ryan Leonard Pei, Annie Chang, et al.Frontiers in Endocrinology|January 30, 2023
Adding glycemic and physical activity metrics to a multimodal algorithm-enabled decision-support tool for type 1 diabetes care: Keys to implementation and opportunitiesDessi P Zaharieva, Ransalu Senanayake, Conner Brown, et al.Pediatric Quality & Safety|July 8, 2021
Development and Implementation of a Real-time Bundle-adherence Dashboard for Central Line-associated Bloodstream InfectionsAugustine Chemparathy, Martin G Seneviratne, Andrew Ward, et al.Journal of Telemedicine and Telecare|December 22, 2023
Drivers of telemedicine in primary care clinics at a large academic medical centreVijaya Parameswaran, Harrison Koos, Neil Kalwani, et al.Healthcare (Amsterdam, Netherlands)|November 8, 2021
Application of the Quadruple Aim to evaluate the operational impact of a telemedicine programNeil M Kalwani, Katherine M Wang, Austin N Johnson, et al.Nature Medicine|May 3, 2024
Equitable implementation of a precision digital health program for glucose management in individuals with newly diagnosed type 1 diabetesPriya Prahalad, David Scheinker, Manisha Desai, et al.JAMA Network Open|April 19, 2023
Disparities in Hemoglobin A1c Levels in the First Year After Diagnosis Among Youths With Type 1 Diabetes Offered Continuous Glucose MonitoringAnanta Addala, Victoria Ding, Dessi P Zaharieva, et al.Journal of Diabetes Science and Technology|May 13, 2025
Assessing the Financial Sustainability of a Virtual Clinic Providing Comprehensive Diabetes CarePaul Dupenloup, Grace Guan, Grazia Aleppo, et al.Applied Clinical Informatics|May 4, 2022
Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning ModelKeith E Morse, Conner Brown, Scott Fleming, et al.Pageof 9