A Framework for Standardizing Emergency Nursing Education and Training Across a Regional Health Care System: Programming, Planning, and Development via International Collaboration.

INTRODUCTION: The challenges related to providing continuing education and competence management for emergency nurses are not unique to any one organization, health system, or geographic location. These shared challenges, along with a desire to ensure high-quality practice of emergency nursing, were the catalyst for an international collaboration between emergency nurse leaders in Region Zealand, Denmark, and nurse leaders and educators from a large academic medical center in Boston, Massachusetts. The goal of the collaboration was to design a competency-based education framework to support high-quality emergency nursing care in Region Zealand. The core objectives of the collaboration included the following: (1) elevation of nursing practice, (2) development of a sustainable continuing education framework, and (3) standardization of training and nursing practice across the 4 emergency departments in Region Zealand. METHODS: To accomplish the core objectives, a multi-phased strategic approach was implemented. The initial phase, the needs assessment, included semi-structured interviews, a self-evaluation of skills of all regional emergency nurses, and a survey regarding nursing competency completed by emergency nurse leadership. Two hundred ninety emergency nurses completed the self-evaluation. The survey results were utilized to inform the strategic planning and design of a regional competency-based education framework. RESULTS: In 18 months, and through an international collaboration, emergency nursing education, training, and evaluation tools were developed and integrated into the 4 regional emergency departments. Initial feedback indicates that the education has had a positive impact. The annual competency day program has continued through 2021 and is now fully institutionalized within the regional emergency nursing continuing education program. Furthermore, use of this innovative education framework has expanded beyond the emergency department to other regional nursing specialties. DISCUSSION AND CONCLUSION: Through this unique collaboration with regional and international participants, a sustainable, regional emergency nursing education program was developed that has elevated and standardized the practice of emergency nurses in Region Zealand, Denmark. This program development can serve as a model for region-wide or health care system-wide collaborations in other countries.

Assessment of Unintentional Duplicate Orders by Emergency Department Clinicians Before and After Implementation of a Visual Aid in the Electronic Health Record Ordering System.

Importance: Electronic health records allow teams of clinicians to simultaneously care for patients, but an unintended consequence is the potential for duplicate orders of tests and medications. Objective: To determine whether a simple visual aid is associated with a reduction in duplicate ordering of tests and medications. Design, Setting, and Participants: This cohort study used an interrupted time series model to analyze 184 694 consecutive patients who visited the emergency department (ED) of an academic hospital with 55 000 ED visits annually. Patient visits occurred 1 year before and after each intervention, as follows: for laboratory orders, from August 13, 2012, to August 13, 2014; for medication orders, from February 3, 2013, to February 3, 2015; and for radiology orders, from December 12, 2013, to December 12, 2015. Data were analyzed from April to September 2019. Exposure: If an order had previously been placed during the ED visit, a red highlight appeared around the checkbox of that order in the computerized provider order entry system. Main Outcomes and Measures: Number of unintentional duplicate laboratory, medication, and radiology orders. Results: A total of 184 694 patients (mean [SD] age, 51.6 [20.8] years; age range, 0-113.0 years; 99 735 [54.0%] women) who visited the ED were analyzed over the 3 overlapping study periods. After deployment of a noninterruptive nudge in electronic health records, there was an associated 49% decrease in the rate of unintentional duplicate orders for laboratory tests (incidence rate ratio, 0.51; 95% CI, 0.45-0.59), from 4485 to 2731 orders, and an associated 40% decrease in unintentional duplicate orders of radiology tests (incidence rate ratio, 0.60; 95% CI, 0.44-0.82), from 956 to 782 orders. There was not a statistically significant change in unintentional duplicate orders of medications (incidence rate ratio, 1.17; 95% CI, 0.52-2.61), which increased from 225 to 287 orders. The nudge eliminated an estimated 17 936 clicks in our electronic health record. Conclusions and Relevance: In this interrupted time series cohort study, passive visual cues that provided just-in-time decision support were associated with reductions in unintentional duplicate orders for laboratory and radiology tests but not in unintentional duplicate medication orders.

Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces.

OBJECTIVES: To determine the effect of a domain-specific ontology and machine learning-driven user interfaces on the efficiency and quality of documentation of presenting problems (chief complaints) in the emergency department (ED). METHODS: As part of a quality improvement project, we simultaneously implemented three interventions: a domain-specific ontology, contextual autocomplete, and top five suggestions. Contextual autocomplete is a user interface that ranks concepts by their predicted probability which helps nurses enter data about a patient's presenting problems. Nurses were also given a list of top five suggestions to choose from. These presenting problems were represented using a consensus ontology mapped to SNOMED CT. Predicted probabilities were calculated using a previously derived model based on triage vital signs and a brief free text note. We evaluated the percentage and quality of structured data captured using a mixed methods retrospective before-and-after study design. RESULTS: A total of 279,231 consecutive patient encounters were analyzed. Structured data capture improved from 26.2% to 97.2% (p < 0.0001). During the post-implementation period, presenting problems were more complete (3.35 vs 3.66; p = 0.0004) and higher in overall quality (3.38 vs. 3.72; p = 0.0002), but showed no difference in precision (3.59 vs. 3.74; p = 0.1). Our system reduced the mean number of keystrokes required to document a presenting problem from 11.6 to 0.6 (p < 0.0001), a 95% improvement. DISCUSSION: We demonstrated a technique that captures structured data on nearly all patients. We estimate that our system reduces the number of man-hours required annually to type presenting problems at our institution from 92.5 h to 4.8 h. CONCLUSION: Implementation of a domain-specific ontology and machine learning-driven user interfaces resulted in improved structured data capture, ontology usage compliance, and data quality.

A Model for Electronic Handoff Between the Emergency Department and Inpatient Units.

BACKGROUND: Patient handoffs between units can introduce risk and time delays. Verbal communication is the most common mode of handoff, but requires coordination between different parties. OBJECTIVE: We present an asynchronous patient handoff process supported by a structured electronic signout for admissions from the emergency department (ED) to the inpatient medicine service. METHODS: A retrospective review of patients admitted to the medical service from July 1, 2011 to June 30, 2015 at a tertiary referral center with 520 inpatient beds and 57,000 ED visits annually. We developed a model for structured electronic, asynchronous signout that includes an option to request verbal communication after review of the electronic handoff information. RESULTS: During the 2010 academic year (AY) all admissions used verbal communication for signout. The following academic year, electronic signout was implemented and 77.5% of admissions were accepted with electronic signout. The rate increased to 87.3% by AY 2014. The rate of transfer from floor to an intensive care unit within 24 h for the year before and 4 years after implementation of the electronic signout system was collected and calculated with 95% confidence interval. There was no statistically significant difference between the year prior and the years after the implementation. CONCLUSIONS: Our handoff model sought to maximize the opportunity for asynchronous signout while still providing the opportunity for verbal signout when deemed necessary. The process was rapidly adopted with the majority of patients being accepted electronically.

From door to recovery: a collaborative approach to the development of a post-cardiac arrest center.

Out-of-hospital cardiac arrest remains common and, despite advances in resuscitation practices, continues to carry a high mortality that may be influenced by several factors, including where a patient is cared for after the cardiac arrest. Implementing a post-cardiac arrest care guideline for survivors of out-of-hospital and in-hospital cardiac arrest involves a multidisciplinary approach with short-term and long-term strategies. Physician and nursing leaders must work in synergy to guide the implementation of an evidence-based plan of care. A collaborative approach was used at a hospital to develop processes, build consensus for protocols, and provide support to staff and teams. A joint approach has allowed the hospital to move from traditional silos of individual departmental care to a continuum of patient-focused management after cardiac arrest. This care coordination is initiated in the emergency department and follows the patient through to discharge.