Evaluation of a New Digital Automated Glycemic Pattern Detection Tool

Diabetes Technology & Therapeutics
María José ComellasJörg Weissmann

Abstract

Blood glucose meters are reliable devices for data collection, providing electronic logs of historical data easier to interpret than handwritten logbooks. Automated tools to analyze these data are necessary to facilitate glucose pattern detection and support treatment adjustment. These tools emerge in a broad variety in a more or less nonevaluated manner. The aim of this study was to compare eDetecta, a new automated pattern detection tool, to nonautomated pattern analysis in terms of time investment, data interpretation, and clinical utility, with the overarching goal to identify early in development and implementation of tool areas of improvement and potential safety risks. Multicenter web-based evaluation in which 37 endocrinologists were asked to assess glycemic patterns of 4 real reports (2 continuous subcutaneous insulin infusion [CSII] and 2 multiple daily injection [MDI]). Endocrinologist and eDetecta analyses were compared on time spent to analyze each report and agreement on the presence or absence of defined patterns. eDetecta module markedly reduced the time taken to analyze each case on the basis of the emminens eConecta reports (CSII: 18 min; MDI: 12.5), compared to the automatic eDetecta analysis. Agreement betwe...Continue Reading

References

Feb 26, 2004·Medicina clínica·Josep Lluís Carrasco, Lluís Jover
Apr 25, 2012·Diabetes Technology & Therapeutics·Melba A Hernandez-TejadaLeonard E Egede
Feb 27, 2013·Journal of Diabetes Science and Technology·Laurence B KatzJohn J Mahoney
Dec 20, 2013·Journal of Diabetes Science and Technology·Pratik ChoudharyGérard Reach

❮ Previous
Next ❯

Citations

Feb 21, 2019·Diabetes Technology & Therapeutics·Satish K Garg, Irl B Hirsch

❮ Previous
Next ❯

Software Mentioned

STAT
emminens
eConecta
eDetecta
SAS

Related Concepts

Related Feeds

Autoimmune Diabetes & Tolerance

Patients with type I diabetes lack insulin-producing beta cells due to the loss of immunological tolerance and autoimmune disease. Discover the latest research on targeting tolerance to prevent diabetes.