Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/29921
Title: Evaluation of a New Digital Automated Glycemic Pattern Detection Tool.
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Issue Date: 2017
Citation: Diabetes Technol. Ther..2017 11;(19)11:633-640
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.
PMID: 29091477
URI: https://hdl.handle.net/20.500.12530/29921
Rights: openAccess
Appears in Collections:Fundaciones e Institutos de Investigación > IIS H. U. Ramón y Cajal > Artículos

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