The goal of this clinical trial is to improve the processes of Type 2 Diabetes (T2D) care coordination and treatment in the emergency department (ED) by utilizing clinical decision support mechanisms in the electronic health record (EHR). The main question is whether electronic prompts triggered by hyperglycemia and elevated A1c results in providers providing earlier treatments and faster time to subsequent primary care appointment and greater reduction in hemoglobin A1c (HA1c). ED clinicians will receive alerts called Our Practice Advisories (OPA's) through the EPIC EHR. The 1st OPA triggers when a random point-of-care (POC) glucose is ≥250 mg/dL, prompting a suggested additional HA1c order. A 2nd OPA triggers if the resulting HA1c is ≥10%, prompting consideration of further care coordination in the Observation Unit. Investigators will compare the outcomes post-intervention compared to pre-intervention.
Type 2 Diabetes, Type 2 Diabetes Mellitus (T2DM), Hyperglycemia, Insulin Dependent Diabetes
The goal of this clinical trial is to improve the processes of Type 2 Diabetes (T2D) care coordination and treatment in the emergency department (ED) by utilizing clinical decision support mechanisms in the electronic health record (EHR). The main question is whether electronic prompts triggered by hyperglycemia and elevated A1c results in providers providing earlier treatments and faster time to subsequent primary care appointment and greater reduction in hemoglobin A1c (HA1c). ED clinicians will receive alerts called Our Practice Advisories (OPA's) through the EPIC EHR. The 1st OPA triggers when a random point-of-care (POC) glucose is ≥250 mg/dL, prompting a suggested additional HA1c order. A 2nd OPA triggers if the resulting HA1c is ≥10%, prompting consideration of further care coordination in the Observation Unit. Investigators will compare the outcomes post-intervention compared to pre-intervention.
Diabetes Electronic Prompt for Improved Care Coordination and Treatment in the ED
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Rutgers, Robert Wood Johnson Hospital, New Brunswick, New Jersey, United States, 08901
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
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21 Years to
ALL
No
Rutgers, The State University of New Jersey,
2026-03