Published on in Vol 5, No 11 (2017): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8532, first published .
Diabetes Data Management System to Improve Glycemic Control in People With Type 1 Diabetes: Prospective Cohort Study

Diabetes Data Management System to Improve Glycemic Control in People With Type 1 Diabetes: Prospective Cohort Study

Diabetes Data Management System to Improve Glycemic Control in People With Type 1 Diabetes: Prospective Cohort Study

Journals

  1. Fico G, Martinez-Millana A, Leuteritz J, Fioravanti A, Beltrán-Jaunsarás M, Traver V, Arredondo M. User Centered Design to Improve Information Exchange in Diabetes Care Through eHealth. Journal of Medical Systems 2020;44(1) View
  2. Giunti G, Guisado Fernández E, Dorronzoro Zubiete E, Rivera Romero O. Supply and Demand in mHealth Apps for Persons With Multiple Sclerosis: Systematic Search in App Stores and Scoping Literature Review. JMIR mHealth and uHealth 2018;6(5):e10512 View
  3. Petersen C. Patient informaticians: Turning patient voice into patient action. JAMIA Open 2018;1(2):130 View
  4. Cutruzzolà A, Irace C, Parise M, Fiorentino R, Pio Tripodi P, Ungaro S, Babinsky V, Gnasso A. Time spent in target range assessed by self-monitoring blood glucose associates with glycated hemoglobin in insulin treated patients with diabetes. Nutrition, Metabolism and Cardiovascular Diseases 2020;30(10):1800 View
  5. Parise M, Tartaglione L, Cutruzzolà A, Maiorino M, Esposito K, Pitocco D, Gnasso A, Irace C. Teleassistance for Patients With Type 1 Diabetes During the COVID-19 Pandemic: Results of a Pilot Study. Journal of Medical Internet Research 2021;23(4):e24552 View
  6. Irace C, Acmet E, Cutruzzolà A, Parise M, Ponzani P, Scarpitta A, Candido R. Digital technology and healthcare delivery in insulin-treated adults with diabetes: a proposal for analysis of self-monitoring blood glucose patterns using a dedicated platform. Endocrine 2023;84(2):441 View
  7. Scholich T, Raj S, Lee J, Newman M. Augmenting clinicians’ analytical workflow through task-based integration of data visualizations and algorithmic insights: a user-centered design study. Journal of the American Medical Informatics Association 2024 View