These protocols may be driven by biomarkers of risk extracted or derived from electronic health records, diabetes self‐management devices (or the cloud services that receive their data), and digital patient reported outcomes platforms protocols may alternately be driven by forecasting of negative outcomes via Artificial Intelligence/Machine Learning approaches. Risk‐based management protocols can help diabetes centers to improve both the quality and cost‐efficiency of care. Yet only a small fraction of these data are used by clinicians regularly for decisionmaking. BIG DATA IN DIABETES CENTERS AND HOSPITALS – WHAT DO WE DO WITH IT?Ĭhildren's Mercy Kansas City, Pediatric Endocrinology, Kansas City, United States of Americaĭiabetes centers, healthcare systems, and individuals with diabetes generate many types of data about diabetes‐related outcomes and about self‐management behaviors, comorbid medical conditions, and clinical care‐related events.
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