Preprocedure COVID-19 Testing in Early Phase of Pandemic.

The COVID-19 pandemic led to a nationwide shutdown of elective medical procedures. Upon resumption of services, preprocedure nasopharyngeal swab testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was introduced for all patients requiring surgical or other aerosol-generating procedures. We investigated preprocedure COVID-19 testing in one of the largest U.S. health systems. Patients included in this retrospective, observational study were asymptomatic and scheduled for a procedure or surgery. All patients underwent a nasopharyngeal swab test for SARS-CoV-2 performed 24-72 hours prior to a planned procedure. Clinical demographics, type of procedure, test results, and subsequent procedure status were evaluated. Of 38,608 total patients, there were 277 COVID-19-positive patients (positivity rate: 0.72%). Of those 277, 244 (88%) had procedural delays or cancellations. Of the COVID-19-negative patients, 50 (0.13%) required later hospitalization for COVID-19. Median time from preprocedure negative test to admission was 46.3 ± 27.2 days. In the largest series published on preprocedure COVID-19 testing in the early phase of the pandemic, preprocedure COVID-19 positivity was low. Preprocedure COVID-19 testing had a significant impact on clinical management. Rate of COVID-19 cases requiring hospitalization in the months following the procedure was negligible, suggesting health system policies adequately protected patient safety.

Using Clinical Decision Support to Improve Referral Rates in Severe Symptomatic Aortic Stenosis: A Quality Improvement Initiative.

Clinical decision support systems are used to ensure compliance with guidelines and can assist providers in improving quality of care. This quality improvement initiative was designed to evaluate the use of a clinical decision support system to improve specialist referral rate for patients with severe aortic stenosis. A clinical decision support system for cardiology and primary care providers was implemented to improve diagnosis of severe aortic stenosis. The ordering provider received an electronic medical record in-basket alert providing feedback and recommendations for referral to specialist for evaluation. The echocardiogram data were evaluated for change in specialist referral rate. Before clinical decision support system implementation, the referral rate was 72% for a 3-month period. All providers ordering echocardiograms received clinical decision support system notification if patient results met criteria based on valve severity (aortic valve area < 1.0 cm, mean gradient ≥ 40 mm Hg, peak velocity ≥ 4.0 m/s). After implementation, clinical decision support system referral rate was 97.5%, a 24.6% increase in referral rates (P < .001). Low referral rates for patients with severe aortic stenosis are a recognized challenge. Utilizing the clinical decision support system to improve awareness of quality guidelines and recommendations was associated with increased adherence to referral guidelines by providers. This innovation is pertinent to practice and enhances the functionality of the electronic medical record by providing real-time feedback to providers to improve practice. Referral rates for patients with severe aortic stenosis can be improved with use of provider clinical decision support system.