RT Journal Article T1 Evaluation of a New Digital Automated Glycemic Pattern Detection Tool. A1 Comellas, María José A1 Albiñana, Emma A1 Artes, Maite A1 Corcoy, Rosa A1 Fernández-García, Diego A1 García-Alemán, Jorge A1 García-Cuartero, Beatriz A1 González, Cintia A1 Rivero, María Teresa A1 Casamira, Núria A1 Weissmann, Jörg K1 Automated tool K1 Blood glucose K1 Diabetes K1 Pattern analysis K1 Pattern management AB 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 between endocrinologists and eDetecta varied depending on the patterns, with high level of agreement in patterns of glycemic variability. Further analysis of low level of agreement led to identifying areas where algorithms used could be improved to optimize trend pattern identification. eDetecta was a useful tool for glycemic pattern detection, helping clinicians to reduce time required to review emminens eConecta glycemic reports. No safety risks were identified during the study. YR 2017 FD 2017-11-01 LK http://hdl.handle.net/10668/11758 UL http://hdl.handle.net/10668/11758 LA en DS RISalud RD Apr 7, 2025