David L. Sanders

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Asthma is a common condition associated with significant patient morbidity and health care costs. Although widely accepted evidence-based guidelines for asthma management exist, unnecessary variation in patient care remains. Application of biomedical informatics techniques is one potential way to improve care for asthmatic patients. We performed a(More)
OBJECTIVE To develop and evaluate a Bayesian network to identify patients eligible for an asthma-care guideline using only data available electronically at the time of patient triage. POPULATION Consecutive patients 2-18 years old who presented to a pediatric emergency department during a 2-month period. METHODS A network was developed and evaluated(More)
Early detection of asthma exacerbations may allow for automated guideline enrollment. We developed and prospectively evaluated a real-time Bayesian network to predict the presence of acute asthma after patient triage using only routinely available electronic data. 2,006 patients were enrolled, including 153 guideline-eligible patients. The area under the(More)
BACKGROUND Asthma is a common pediatric chronic disease and is estimated to account for more than 2million emergency department visits per year. Asthma guidelines have demonstrated improved outcomes, but remain underutilized due to several barriers. Computerized methods to automatically identify asthma exacerbations may be beneficial to initiate guideline(More)
Prompting clinicians to offer preventive care procedures has been shown to increase the use of these procedures. This study is an update of a systematic review examining the effect of reminder systems on offers of preventive care to patients. Of 1,404 eligible studies, 23 were included. The studies were evaluated according to their intervention type and use(More)
OBJECTIVE To evaluate the impact of computerized ordering guidelines on clinician ordering patterns for neuroradiology imaging studies of the head. DESIGN A retrospective analysis was performed using a pre-post design. A 9-week control period was followed by an 8-week intervention period. SUBJECTS All clinicians who placed an order for either an MRI of(More)