Marguerite Swietlik

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OBJECTIVE Asthma continues to be 1 of the most common chronic diseases of childhood and affects approximately 6 million US children. Although National Asthma Education Prevention Program guidelines exist and are widely accepted, previous studies have demonstrated poor clinician adherence across a variety of populations. We sought to determine if clinical(More)
Clinical research relies on enrollment of appropriate subjects. Individuals who hear about research from their clinician are more likely to participate. We developed two strategies for research subject enrollment using the EHR and its underlying data: pop-up alerts for clinicians, and patient lists for on-site research assistants. Eleven studies used(More)
Integration of clinical decision support services (CDSS) into electronic health records (EHRs) may be integral to widespread dissemination and use of clinical prediction rules in the emergency department (ED). However, the best way to design such services to maximize their usefulness in such a complex setting is poorly understood. We conducted a multi-site(More)
INTRODUCTION For children who present to emergency departments (EDs) due to blunt head trauma, ED clinicians must decide who requires computed tomography (CT) scanning to evaluate for traumatic brain injury (TBI). The Pediatric Emergency Care Applied Research Network (PECARN) derived and validated two age-based prediction rules to identify children at very(More)
Background. Adrenal insufficiency is a life-threatening event. It is recommended that patients with known adrenal insufficiency and their families receive careful and repeated education on sick-day glucocorticoid management. We hypothesized that the electronic medical record (EMR) can be used to improve patient education through automated provider(More)
OBJECTIVE To evaluate the architecture, integration requirements, and execution characteristics of a remote clinical decision support (CDS) service used in a multicenter clinical trial. The trial tested the efficacy of implementing brain injury prediction rules for children with minor blunt head trauma. MATERIALS AND METHODS We integrated the Epic(®)(More)
OBJECTIVES We determined whether implementing the Pediatric Emergency Care Applied Research Network (PECARN) traumatic brain injury (TBI) prediction rules and providing risks of clinically important TBIs (ciTBIs) with computerized clinical decision support (CDS) reduces computed tomography (CT) use for children with minor head trauma. METHODS(More)
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