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This research will use a clinical decision support tool to identify patients at high risk for type 2 diabetes and text message these patients, offering them in-clinic hemoglobin A1c testing.
This project provided input to inform the development of nine proposed Stage 3 MU objectives focused on patient engagement, interoperability, and care coordination.
While health information technology (IT) systems are expected to significantly reduce medication errors, studies have found that issues with usability and information design can actually facilitate errors or decrease the efficiency gains made possible by health IT.
Evaluated the effects of staggered installation of an Epic health IT system that includes an EMR with provider order entry and clinical decision support in primary care settings on quality, safety, and resource use within a large integrated delivery system on cohort of 780,000 members with chronic illnesses.