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We evaluated the impact of an automated decision support tool (DST) on clinicians' ability to identify glycemic abnormalities in structured self-monitoring of blood glucose (SMBG) data and then make appropriate therapeutic changes based on the glycemic patterns observed.

diabetes care

Use of an Automated Decision Support Tool Optimizes Clinicians’ Ability to Interpret and Appropriately Respond to Structured Self-Monitoring of Blood Glucose Data