Publications by authors named "Gerald Amundson"

Objective: To test the hypothesis that use of a clinical decision support (CDS) system in a primary care setting can reduce cardiovascular (CV) risk in patients.

Materials And Methods: Twenty primary care clinics were randomly assigned to usual care (UC) or CDS. For CDS clinic patients identified algorithmically with high CV risk, rooming staff were prompted by the electronic health record (EHR) to print CDS that identified evidence-based treatment options for lipid, blood pressure, weight, tobacco, or aspirin management and prioritized them based on potential benefit to the patient.

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Purpose: To test a virtual case-based Simulated Diabetes Education intervention (SimDE) developed to teach primary care residents how to manage diabetes.

Method: Nineteen primary care residency programs, with 341 volunteer residents in all postgraduate years (PGY), were randomly assigned to a SimDE intervention group or control group (CG). The Web-based interactive educational intervention used computerized virtual patients who responded to provider actions through programmed simulation models.

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Background: Simulation is widely used to teach medical procedures. Our goal was to develop and implement an innovative virtual model to teach resident physicians the cognitive skills of type 1 and type 2 diabetes management.

Methods: A diabetes educational activity was developed consisting of (a) a curriculum using 18 explicit virtual cases, (b) a web-based interactive interface, (c) a simulation model to calculate physiologic outcomes of resident actions, and (d) a library of programmed feedback to critique and guide resident actions between virtual encounters.

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Article Synopsis
  • Medical groups have heavily invested in EMRs, yet research on the cost-effectiveness of EMR-based clinical decision support (CDS) is limited, especially for managing diabetes.
  • A study used data from a clinical trial of EMR-based CDS in 1,092 adults with diabetes to analyze long-term outcomes and costs through a validated diabetes simulation model.
  • Findings showed that while EMR-based CDS improved patient A1c levels at a modest cost, it also slightly increased quality-adjusted life years (QALYs) with an incremental cost-effectiveness ratio indicating that its implementation is feasible without significantly raising health care costs.
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Purpose: We wanted to assess the impact of an electronic health record-based diabetes clinical decision support system on control of hemoglobin A(1c) (glycated hemoglobin), blood pressure, and low-density lipoprotein (LDL) cholesterol levels in adults with diabetes.

Methods: We conducted a clinic-randomized trial conducted from October 2006 to May 2007 in Minnesota. Included were 11 clinics with 41 consenting primary care physicians and the physicians' 2,556 patients with diabetes.

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