Background: High-risk therapies (HRTs), including medications and medical devices, are an important driver of preventable harm in children's hospitals. To facilitate shared situation awareness (SA) and thus targeted harm prevention, we aimed to increase the percentage of electronic health record (EHR) alerts with the correct descriptor of an HRT from 11% to 100% on a high-acuity hospital unit over a 6-month period.
Methods: The interdisciplinary team defined an HRT as a medication or device with a significant risk for harm that required heightened awareness. Our aim for interventions was to (1) educate staff on a new HRT algorithm; (2) develop a comprehensive table of HRTs, risks, and mitigation plans; (3) develop bedside signs for patients receiving HRTs; and (4) restructure unit huddles. Qualitative interviews with families, nurses, and medical teams were used to assess shared SA and inform the development and adaptation of interventions. The primary outcome metric was the percentage of EHR alerts for an HRT that contained a correct descriptor of the therapy for use by the care team and institutional safety leaders.
Results: The percentage of EHR alerts with a correct HRT descriptor increased from an average of 11% to 96%, with special cause variation noted on a statistical process control chart. Using qualitative interview data, we identified critical awareness gaps, including establishing a shared mental model between nursing staff and the medical team as well as engagement of families at the bedside to monitor for complications.
Conclusions: Explicit, structured processes and huddles can increase HRT SA among the care team, patient, and family.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1542/hpeds.2021-006193 | DOI Listing |
JMIR Form Res
January 2025
Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, PA, United States.
Background: Mental health treatment is hindered by the limited number of mental health care providers and the infrequency of care. Digital mental health technology can help supplement treatment by remotely monitoring patient symptoms and predicting mental health crises in between clinical visits. However, the feasibility of digital mental health technologies has not yet been sufficiently explored.
View Article and Find Full Text PDFFront Pharmacol
December 2024
Department of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, United States.
Introduction: The Precision Medicine Program (PMP) at the University of Florida (UF) focuses on advancing pharmacogenomics (PGx) to improve patient care.
Methods: The UF PMP, in collaboration with the UF Health Pathology Laboratory (UFHPL), utilized Health Level Seven (HL7) standards to integrate PGx data into Epic's Genomic Module to enhance the management and utilization of PGx data in clinical practice.
Results: A key feature of the Genomic Module is the introduction of genomic indicators-innovative tools that flag actionable genetic information directly within the electronic health record (EHR).
Appl Clin Inform
December 2024
Medicine, UCSF, San Francisco, United States.
Background: The proliferation of electronic health record (EHR) alerts has led to widespread alert fatigue and clinician burnout, undermining the effectiveness of clinical decision support and compromising patient safety.
Objective: We introduce a comprehensive style guide for designing interruptive alerts (IAs) in EHR systems to improve clinician engagement and reduce alert fatigue that has been approved by our institutional alert governance committees. This style guide addresses critical aspects of IAs, including format, typography, color-coding, title brevity, patient identification, and introductory text.
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.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!