Published on in Vol 7, No 2 (2022): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27284, first published .
Algorithm-Enabled, Personalized Glucose Management for Type 1 Diabetes at the Population Scale: Prospective Evaluation in Clinical Practice

Algorithm-Enabled, Personalized Glucose Management for Type 1 Diabetes at the Population Scale: Prospective Evaluation in Clinical Practice

Algorithm-Enabled, Personalized Glucose Management for Type 1 Diabetes at the Population Scale: Prospective Evaluation in Clinical Practice

Journals

  1. Zaharieva D, Senanayake R, Brown C, Watkins B, Loving G, Prahalad P, Ferstad J, Guestrin C, Fox E, Maahs D, Scheinker D. Adding glycemic and physical activity metrics to a multimodal algorithm-enabled decision-support tool for type 1 diabetes care: Keys to implementation and opportunities. Frontiers in Endocrinology 2023;13 View
  2. Crossen S, Romero C, Lewis C, Glaser N. Remote glucose monitoring is feasible for patients and providers using a commercially available population health platform. Frontiers in Endocrinology 2023;14 View
  3. Zaharieva D, Addala A, Prahalad P, Leverenz B, Arrizon-Ruiz N, Ding V, Desai M, Karger A, Maahs D. An Evaluation of Point-of-Care HbA1c, HbA1c Home Kits, and Glucose Management Indicator: Potential Solutions for Telehealth Glycemic Assessments. Diabetology 2022;3(3):494 View
  4. Zaharieva D, Bishop F, Maahs D. Advancements and future directions in the teamwork, targets, technology, and tight control—the 4T study: improving clinical outcomes in newly diagnosed pediatric type 1 diabetes. Current Opinion in Pediatrics 2022;34(4):423 View
  5. Dupenloup P, Pei R, Chang A, Gao M, Prahalad P, Johari R, Schulman K, Addala A, Zaharieva D, Maahs D, Scheinker D. A model to design financially sustainable algorithm-enabled remote patient monitoring for pediatric type 1 diabetes care. Frontiers in Endocrinology 2022;13 View
  6. Prahalad P, Maahs D. Roadmap to Continuous Glucose Monitoring Adoption and Improved Outcomes in Endocrinology: The 4T (Teamwork, Targets, Technology, and Tight Control) Program. Diabetes Spectrum 2023;36(4):299 View
  7. Chang A, Gao M, Ferstad J, Dupenloup P, Zaharieva D, Maahs D, Prahalad P, Johari R, Scheinker D. A quantitative model to ensure capacity sufficient for timely access to care in a remote patient monitoring program. Endocrinology, Diabetes & Metabolism 2023;6(5) View
  8. Gilliam L, Parker M, Moffet H, Lee A, Karter A. Continuous Glucose Monitor Metrics Are Associated with Emergency Department Visits and Hospitalizations for Hypoglycemia and Hyperglycemia, but Have Low Predictive Value. Diabetes Technology & Therapeutics 2024;26(5):298 View
  9. Ferstad J, Prahalad P, Maahs D, Zaharieva D, Fox E, Desai M, Johari R, Scheinker D. Smart Start — Designing Powerful Clinical Trials Using Pilot Study Data. NEJM Evidence 2024;3(2) View
  10. Prahalad P, Scheinker D, Desai M, Ding V, Bishop F, Lee M, Ferstad J, Zaharieva D, Addala A, Johari R, Hood K, Maahs D. Equitable implementation of a precision digital health program for glucose management in individuals with newly diagnosed type 1 diabetes. Nature Medicine 2024 View
  11. Leverenz J, Leverenz B, Prahalad P, Bishop F, Sagan P, Martinez-Singh A, Conrad B, Chmielewski A, Senaldi J, Scheinker D, Maahs D. Role and Perspective of Certified Diabetes Care and Education Specialists in the Development of the 4T Program. Diabetes Spectrum 2024;37(2):153 View