Thoughtful integration of interruptive clinical decision support (CDS) alerts within the electronic health record is essential to guide clinicians on the application of pharmacogenomic results at point of care. St. Jude Children's Research Hospital implemented a preemptive pharmacogenomic testing program in 2011 in a multidisciplinary effort involving extensive education to clinicians about pharmacogenomic implications. We conducted a retrospective analysis of clinicians' adherence to 4783 pharmacogenomically guided CDS alerts that triggered for 12 genes and 60 drugs. Clinicians adhered to the therapeutic recommendations provided in 4392 alerts (92%). In our population of pediatric patients with catastrophic illnesses, the most frequently presented gene/drug CDS alerts were TPMT/NUDT15 and thiopurines (n = 3850), CYP2D6 and ondansetron (n = 667), CYP2D6 and oxycodone (n = 99), G6PD and G6PD high-risk medications (n = 51), and CYP2C19 and proton pump inhibitors (omeprazole and pantoprazole; n = 50). The high adherence rate was facilitated by our team approach to prescribing and our collaborative CDS design and delivery.
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http://dx.doi.org/10.1093/jamia/ocac187 | DOI Listing |
J Grad Med Educ
December 2024
is Director of Anesthesia Quality Improvement and Informatics and Health Sciences Clinical Professor, University of California, San Francisco School of Medicine, San Francisco, California, USA.
Lowering fresh gas flow (FGF) can help decrease the carbon footprint of the operating room as FGF levels act as an indirect measure of anesthetic gas waste. The aim of this quality improvement project was to reduce clinician FGF during general anesthesia with clinical decision support (CDS) tools within the electronic health record (EHR) at a single institution. A non-interruptive alert to reduce FGF was coded into the anesthesia intraoperative EHR workspace to alert whenever the 10-minute average FGF exceeded 1 L/min.
View Article and Find Full Text PDFJ Am Med Inform Assoc
December 2024
University of California, San Francisco, San Francisco, CA 94143, United States.
Objective: This article describes the implementation of preemptive clinical pharmacogenomics (PGx) testing linked to an automated clinical decision support (CDS) system delivering actionable PGx information to clinicians at the point of care at UCSF Health, a large Academic Medical Center.
Methods: A multidisciplinary team developed the strategic vision for the PGx program. Drug-gene interactions of interest were compiled, and actionable alleles identified.
JAMIA Open
December 2024
University of Massachusetts Chan Medical School, Departments of Medicine, Worcester, MA 01655, United States.
Objectives: Many routine patient care items should be reviewed at least daily for intensive care unit (ICU) patients. These items are often incompletely performed, and dynamic clinical decision support tools (CDSTs) may improve attention to these daily items. We sought to evaluate the accuracy of institutionalized electronic health record (EHR) based custom dynamic CDST to support 22 ICU rounding quality metrics across 7 categories (hypoglycemia, venothromboembolism prophylaxis, stress ulcer prophylaxis, mechanical ventilation, sedation, nutrition, and catheter removal).
View Article and Find Full Text PDFJ Am Coll Radiol
December 2024
Harvard Medical School, Boston, MA; Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Boston, MA. Electronic address:
Objective: To determine whether point-of-order clinical decision support (CDS) based on the Wells Criteria improves CT pulmonary angiogram (CTPA) yield and utilization in hospitalized patients in an enterprise-wide health system and identify yield-related factors.
Methods: This retrospective IRB-approved cross-sectional study in an urban, multi-institution health system included hospitalized patients undergoing CTPA 12 months before and after CDS implementation (entire cohort). Chi-square test was used to compare PE yield in patients in whom providers overrode vs.
Health Policy Technol
August 2024
Department of Global Health, University of Washington, Seattle, WA, USA.
Background: Clinical decision support (CDS) tools can support HIV care, including through case tracking, treatment and medication monitoring, and promoting provider compliance with care guidelines. There has been limited research into the technical, organizational, and behavioral factors that impact perceptions of and willingness to use CDS tools at scale in resource-limited settings, including in Haiti.
Methods: Our sample included fifteen purposively chosen Haitian HIV program experts, including active clinicians and HIV program managers.
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