Abstract:Many patients at risk for T2D in clinical practice remain unscreened. Scalable, EHR-driven strategies are needed to assess glycemic risk and improve screening in health systems.
We developed and implemented an automated, EHR risk score linked to clinical decision support (CDS) to detect undiagnosed dysglycemia (PDM+T2D). The risk score (random glucose, age, race, BMI, hypertension) was linked to an Epic reporting workbench (RWB) and used by clinic nurses to bulk-order screening HbA1cs and notify… Show more
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