Implementation of Electronic Clinical Decision Support for Pediatric Appendicitis.
نویسندگان
چکیده
BACKGROUND AND OBJECTIVE Computed tomography (CT) and ultrasound (US) are commonly used in patients with acute abdominal pain. We sought to standardize care and reduce CT use while maintaining patient safety through implementation of a multicomponent electronic clinical decision support tool for pediatric patients with possible appendicitis. METHODS We conducted a quasi-experimental study of children 3 to 18 years old who presented with possible appendicitis to the pediatric emergency department (ED) between January 2011 and December 2013. Outcomes were use of CT and US. Balancing measures included missed appendicitis, ED revisits within 30 days, appendiceal perforation, and ED length of stay. RESULTS Of 2803 patients with acute abdominal pain over the 3-year study period, 794 (28%) had appendicitis and 207 (26.1% of those with appendicitis) had a perforation. CT use during the 10-month preimplementation period was 38.8% and declined to 17.7% by the end of the study (54% relative decrease). For CT, segmented regression analysis revealed that there was a significant change in trend from the preimplementation period to implementation (monthly decrease -3.5%; 95% confidence interval: -5.9% to -0.9%; P = .007). US use was 45.7% preimplementation and 59.7% during implementation. However, there was no significant change in US or total imaging trends. There were also no statistically significant differences in rates of missed appendicitis, ED revisits within 30 days, appendiceal perforation, or ED length of stay between time periods. CONCLUSIONS Our electronic clinical decision support tool was associated with a decrease in CT use while maintaining safety and high quality care for patients with possible appendicitis.
منابع مشابه
Evaluation of Suspected Pediatric Appendicitis with Alvarado Method Using a Computerized Intelligent Model
Background: Acute appendicitis is one of the common and urgent illnesses among children. Children usually are unable to help the physicians completely due to weakness in describing the medical history. Moreover, acute appendicitis overlaps with conditions of other diseases in terms of Symptoms and signs in the first hours of presentation. These conditions lead to unwanted biases as well as err...
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OBJECTIVE To evaluate a proposed natural language processing (NLP) and machine-learning based automated method to risk stratify abdominal pain patients by analyzing the content of the electronic health record (EHR). METHODS We analyzed the EHRs of a random sample of 2100 pediatric emergency department (ED) patients with abdominal pain, including all with a final diagnosis of appendicitis. We ...
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ورودعنوان ژورنال:
- Pediatrics
دوره 137 5 شماره
صفحات -
تاریخ انتشار 2016