Clinical Decision Support Systems in the Emergency Department: Opportunities to Improve Triage Accuracy

Emergency Management and Nursing Considerations of Carotid Blowout Syndrome

INTRODUCTION

Carotid blowout syndrome is a rare but fatal complication often witnessed secondary to treating patients with head and neck cancer. It occurs when damage and necrosis lead to the carotid artery wall rupture. The symptoms encountered in these patients range from asymptomatic to cardiac arrest. Here, we present 5 cases of carotid blowout syndrome in the emergency department.

CASE PRESENTATIONS

Patients demonstrated symptoms ranging from subtle bleeding to hemodynamic instability, highlighting the diverse nature of carotid blowout syndrome in this population. Notably, while all patients had a history of radiotherapy, some had additional risk factors for carotid blowout syndrome, including prior surgery (n = 2), malnutrition (n = 3), and tracheostomies (n = 2). Definitive diagnoses were established through clinical evaluation and computed tomography angiography. Immediate interventions included bleeding control, resuscitation, and consultations with relevant specialties. Four patients underwent interventional radiology procedures, and 1 patient received otolaryngology care. While 2 patients recovered completely, 1 died in the emergency department, and 1 in the intensive care unit. One patient's clinical course was complicated by a stroke.

CONCLUSION

The approach to the carotid blowout syndrome patient includes complex steps that proceed in a multidisciplinary manner, starting from triage until discharge. Emergency nurses play crucial roles at every stage. They should be aware of carotid blowout syndrome when evaluating patients with head and neck cancer presenting with bleeding. When treating these patients, emergency nurses should be ready for airway interventions, bleeding control, and massive transfusion protocol. In this context, the multifaceted approaches made by nurses contribute significantly to carotid blowout syndrome management in the emergency department.

The impact of digital technology use on nurses' professional identity and relations of power: a literature review

AIM

This study seeks to review how the use of digital technologies in clinical nursing affects nurses' professional identity and the relations of power within clinical environments.

DESIGN

Literature review.

DATA SOURCES

PubMed and CINAHL databases were searched in April 2023.

METHODS

We screened 874 studies in English and German, of which 15 were included in our final synthesis reflecting the scientific discourse from 1992 until 2023.

RESULTS

Our review revealed relevant effects of digital technologies on nurses' professional identity and power relations. Few studies cover outcomes relating to identity, such as moral agency or nurses' autonomy. Most studies describe negative impacts of technology on professional identity, for example, creating a barrier between nurses and patients leading to decreased empathetic interaction. Regarding power relations, technologically skilled nurses can yield power over colleagues and patients, while depending on technology. The investigation of these effects is underrepresented.

CONCLUSION

Our review presents insights into the relation between technology and nurses' professional identity and prevalent power relations. For future studies, dedicated and critical investigations of digital technologies' impact on the formation of professional identity in nursing are required.

IMPLICATIONS FOR THE PROFESSION

Nurses' professional identity may be altered by digital technologies used in clinical care. Nurses, who are aware of the potential effects of digitized work environments, can reflect on the relationship of technology and the nursing profession.

IMPACT

The use of digital technology might lead to a decrease in nurses' moral agency and competence to shape patient-centred care. Digital technologies seem to become an essential measure for nurses to wield power over patients and colleagues, whilst being a control mechanism. Our work encourages nurses to actively shape digital care.

REPORTING METHOD

We adhere to the JBI Manual for Evidence Synthesis where applicable. EQUATOR reporting guidelines were not applicable for this type of review.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution.

Triage Accuracy of Emergency Nurses: An Evidence-Based Review

INTRODUCTION

Accurate triage assessment by emergency nurses is essential for prioritizing patient care and providing appropriate treatment. Undertriage and overtriage remain an ongoing issue in care of patients who present to the emergency department. The purpose of this literature review was to examine factors associated with triage accuracy in the emergency department.

METHODS

We conducted an evidence-based literature review using the Cumulative Index to Nursing and Allied Health Literature, PubMed, and Embase. The search focused on peer-reviewed articles in English, available in full text, published between January 2011 and December 2021.

RESULTS

A total of 14 articles met inclusion criteria and revealed the following 3 themes for triage accuracy: triage nurse characteristics, patient characteristics, and work environment. Triage nurses' accuracy rates ranged from 59.3% to 82%, with experience in triage associated with higher accuracy. Patient characteristics influenced triage accuracy, with nontrauma patients being undertriaged and trauma patients often overtriaged. The work environment played a role, as accuracy rates varied based on shift time and patient volume. Competing systems between prehospital and ED triage posed challenges and affected accuracy during fluctuations in patient volumes.

DISCUSSION

This review underscores the complex nature of ED triage accuracy. It highlights the importance of nurse experience, training programs, patient characteristics, and the work environment in enhancing triage decision making. Enhanced understanding of these factors can inform strategies to optimize triage accuracy and improve patient outcomes.

Race and Ethnicity and Primary Language in Emergency Department Triage

Importance

Emergency department (ED) triage substantially affects how long patients wait for care but triage scoring relies on few objective criteria. Prior studies suggest that Black and Hispanic patients receive unequal triage scores, paralleled by disparities in the depth of physician evaluations.

Objectives

To examine whether racial disparities in triage scores and physician evaluations are present across a multicenter network of academic and community hospitals and evaluate whether patients who do not speak English face similar disparities.

Design, Setting, and Participants

This was a cross-sectional, multicenter study examining adults presenting between February 28, 2019, and January 1, 2023, across the Mass General Brigham Integrated Health Care System, encompassing 7 EDs: 2 urban academic hospitals and 5 community hospitals. Analysis included all patients presenting with 1 of 5 common chief symptoms.

Exposures

Emergency department nurse-led triage and physician evaluation.

Main Outcomes and Measures

Average Triage Emergency Severity Index [ESI] score and average visit work relative value units [wRVUs] were compared across symptoms and between individual minority racial and ethnic groups and White patients.

Results

There were 249 829 visits (149 861 female [60%], American Indian or Alaska Native 0.2%, Asian 3.3%, Black 11.8%, Hispanic 18.8%, Native Hawaiian or Other Pacific Islander <0.1%, White 60.8%, and patients identifying as Other race or ethnicity 5.1%). Median age was 48 (IQR, 29-66) years. White patients had more acute ESI scores than Hispanic or Other patients across all symptoms (eg, chest pain: Hispanic, 2.68 [95% CI, 2.67-2.69]; White, 2.55 [95% CI, 2.55-2.56]; Other, 2.66 [95% CI, 2.64-2.68]; P < .001) and Black patients across most symptoms (nausea/vomiting: Black, 2.97 [95% CI, 2.96-2.99]; White: 2.90 [95% CI, 2.89-2.91]; P < .001). These differences were reversed for wRVUs (chest pain: Black, 4.32 [95% CI, 4.25-4.39]; Hispanic, 4.13 [95% CI, 4.08-4.18]; White 3.55 [95% CI, 3.52-3.58]; Other 3.96 [95% CI, 3.84-4.08]; P < .001). Similar patterns were seen for patients whose primary language was not English.

Conclusions and Relevance

In this cross-sectional study, patients who identified as Black, Hispanic, and Other race and ethnicity were assigned less acute ESI scores than their White peers despite having received more involved physician workups, suggesting some degree of mistriage. Clinical decision support systems might reduce these disparities but would require careful calibration to avoid replicating bias.

The effect of computer-based decision support system on emergency department triage: Non-randomised controlled trial

BACKGROUND

Deciding on triage in emergency departments is difficult and requires comprehensive knowledge and experience.

PURPOSE

This study was conducted to evaluate the effect of a "computer-based emergency department triage decision support system (DSS)," which was designed and integrated into the hospital information management system, on triage decision accuracy and triage duration by using real patient data.

METHODS

Single-group, pretest-posttest non-randomised clinical trial. The study was conducted with the real data of patients who had been triaged in the adult emergency department of a university hospital. The pretest was applied between July 16 and September 16, 2019, and the post-test on September 1 and October 31, 2020. In the pre-test and post-test phases of the study, triage decision accuracy rates, and triage duration were evaluated. In the post-test phase, Emergency Triage Decision Support System (ETDSS) was prepared with a rule-based decision trees method using the Emergency Severity Index Version 4 and The Australasian Triage Scale and was integrated into the hospital information management system. The effect of the developed ETDSS was evaluated. The mean, standard deviation, frequency and percentage values were calculated for the descriptive characteristics. Independent samples t-test, analysis of variance, Sidak paired comparison, and Bonferroni tests were applied.

RESULTS

The effect of the computer-based emergency triage DSS on triage management was tested based on the data of 16,409 patients in the pretest phase and 7,765 patients in the posttest phase. While the accuracy rate of nurses' triage decisions was 57.8% in the pretest, it was found to increase to 64.9% in the posttest. The mean duration of triage was 1.47 ± 0.72 in the pretest and 1.79 ± 0.85 min in the posttest.

CONCLUSIONS

The DSS increased triage decision accuracy independently of professional and triage experience and brought the triage duration closer to the time recommended in the literature. Clinically, this is associated with patient safety, quality improvement processes, and professional accountability.

Factors contributing to patient safety during triage process in the emergency department: A systematic review

BACKGROUND

Triage is a dynamic environment in which large numbers of people can present. It presents a vulnerable assessment point, as a triage nurse must assess a patient's urgency level and analyse their health status and expected resource needs. Given the critical nature of triage, it is necessary to understand the factors contributing to patient safety.

OBJECTIVES

To identify and examine the factors contributing to patient safety during the triage process.

METHODS

A systematic review of the literature was undertaken, and a thematic analysis of the factors contributing to patient safety during the triage process. PubMed, CINAHL, Web of Sciences, Science Direct, SAGE, EMBASE and reference lists of relevant studies published in English until March 2022 were searched for relevant studies. The search protocol has been registered at the PROSPERO (CRD42019146616), and the review was conducted using the PRISMA criteria.

RESULTS

Out of 5366 records, we included 11 papers for thematic synthesis. Identified factors contributing to patient safety in triage are related to the emergency's work environment, such as patient assessment, high workload, frequent interruptions and staffing, and personal factors such as nurse traits, experience, knowledge, triage fatigue and work schedule.

CONCLUSIONS

This review shows that patient safety is influenced by the attitude, capabilities and experiences of triage nurses, the time when nurses can dedicate themselves to the patient and triage the patient without disruption. It is necessary to raise awareness among nursing administrators and healthcare professionals to provide a safe triage environment for patients.

RELEVANCE TO CLINICAL PRACTICE

This review highlights the evidence on the factors contributing to patient safety in the triage process. Further research is needed for this cohort of triage nurses in the emergency department concerning ensuring patient safety.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution was required to design or undertake this review.

The accuracy of nurse-led triage of adult patients in the emergency centre of urban private hospitals

Background

: Triage is applied in emergency centres (ECs) to assign degrees of urgency to illnesses or injuries to decide in which order to treat patients, especially when there are many patients or casualties, facilitating the allocation of scarce medical resources. A triage nurse determines triage priority by assessing patients using an established triage tool with specific criteria. The South African Triage Scale is widely used in South African ECs. Although the South African Triage Scale has been adopted and implemented in both private and public healthcare ECs in South Africa, few studies have assessed the accuracy of nurse-led triage in private ECs.

Aim

: To determine the accuracy of nurse-led triage in ECs in urban, private hospitals.

Methods

: A quantitative, descriptive, retrospective study was done. Three private hospitals with similar average patient volumes were purposively selected. We sampled the nursing notes as follows: 1) we stratified nursing notes by nurse qualification and then 2) for each category of nurse we stratified nursing notes according to triage priority level and 3) then systematically randomly selected the recommended number of notes from each triage priority level for each nurse category. We retrospectively audited 389 EC nursing notes to determine the accuracy of nurse-led triage. For each note, we independently applied the South African Triage Scale, and then determined agreement between our score and the score determined by the triage nurse.

Results

: We recorded 342 triage errors, consisting of triage early warning scores (TEWS) errors (n = 168), discriminator errors (n = 97) and additional investigation errors (n = 77). Overall agreement between the triage nurses and our scores was 71.7% (n = 279). Triage errors (n = 110) consisted of 3.9% (n = 15) over-triage errors and 24.4% (n = 95) under-triage errors. The highest level of agreement was between our scores and the scores of the emergency trained registered nurses (85%) and enrolled nursing assistants (78%).

Conclusion

: In South African ECs, the South African Triage Scale is not always correctly applied, which can lead to almost a quarter (24.4%) of cases being under-triaged and not receiving timeous care. Our results suggest that emergency trained registered nurses are well equipped to be triage nurses, and that this skill should be developed in South African nursing curricula.

LBA: Online Learning-Based Assignment of Patients to Medical Professionals

Central to any medical domain is the challenging patient to medical professional assignment task, aimed at getting the right patient to the right medical professional at the right time. This task is highly complex and involves partially conflicting objectives such as minimizing patient wait-time while providing maximal level of care. To tackle this challenge, medical institutions apply common scheduling heuristics to guide their decisions. These generic heuristics often do not align with the expectations of each specific medical institution. In this article, we propose a novel learning-based online optimization approach we term Learning-Based Assignment (LBA), which provides decision makers with a tailored, data-centered decision support algorithm that facilitates dynamic, institution-specific multi-variate decisions, without altering existing medical workflows. We adapt our generic approach to two medical settings: (1) the assignment of patients to caregivers in an emergency department; and (2) the assignment of medical scans to radiologists. In an extensive empirical evaluation, using real-world data and medical experts' input from two distinctive medical domains, we show that our proposed approach provides a dynamic, robust and configurable data-driven solution which can significantly improve upon existing medical practices.

Human Factors and Technological Characteristics Influencing the Interaction with AI-enabled Clinical Decision Support Systems: A Literature Review (Preprint)

Background

The digitization and automation of diagnostics and treatments promise to alter the quality of health care and improve patient outcomes, whereas the undersupply of medical personnel, high workload on medical professionals, and medical case complexity increase. Clinical decision support systems (CDSSs) have been proven to help medical professionals in their everyday work through their ability to process vast amounts of patient information. However, comprehensive adoption is partially disrupted by specific technological and personal characteristics. With the rise of artificial intelligence (AI), CDSSs have become an adaptive technology with human-like capabilities and are able to learn and change their characteristics over time. However, research has not reflected on the characteristics and factors essential for effective collaboration between human actors and AI-enabled CDSSs.

Objective

Our study aims to summarize the factors influencing effective collaboration between medical professionals and AI-enabled CDSSs. These factors are essential for medical professionals, management, and technology designers to reflect on the adoption, implementation, and development of an AI-enabled CDSS.

Methods

We conducted a literature review including 3 different meta-databases, screening over 1000 articles and including 101 articles for full-text assessment. Of the 101 articles, 7 (6.9%) met our inclusion criteria and were analyzed for our synthesis.

Results

We identified the technological characteristics and human factors that appear to have an essential effect on the collaboration of medical professionals and AI-enabled CDSSs in accordance with our research objective, namely, training data quality, performance, explainability, adaptability, medical expertise, technological expertise, personality, cognitive biases, and trust. Comparing our results with those from research on non-AI CDSSs, some characteristics and factors retain their importance, whereas others gain or lose relevance owing to the uniqueness of human-AI interactions. However, only a few (1/7, 14%) studies have mentioned the theoretical foundations and patient outcomes related to AI-enabled CDSSs.

Conclusions

Our study provides a comprehensive overview of the relevant characteristics and factors that influence the interaction and collaboration between medical professionals and AI-enabled CDSSs. Rather limited theoretical foundations currently hinder the possibility of creating adequate concepts and models to explain and predict the interrelations between these characteristics and factors. For an appropriate evaluation of the human-AI collaboration, patient outcomes and the role of patients in the decision-making process should be considered.

Syncope in the Emergency Department: A Guide for Clinicians

Syncope is a common presenting symptom to emergency departments, but its evaluation and initial management can be challenging for ED practitioners and particularly urgent in the presence of high-risk features that increase the likelihood of cardiac etiology. Even after thorough clinical evaluation, syncope may remain unexplained. In such instances, practitioners' clinical judgment and risk assessments are critical to guide further management. In this article, evidence-informed strategies are outlined to approach the diagnosis of syncope and provide an overview of syncope clinical decision rules and shared decision-making. By incorporating risk stratification and shared decision-making into syncope care, practitioners can more confidently engage patients and families in disposition decisions to organize appropriate outpatient and follow-up care, observation, or admission.

Impact of Electronic Medical Record Alerts on Emergency Physician Workflow and Medical Management

BACKGROUND

Electronic medical record (EMR) alerts are automated messages that notify the physician of important information. However, little is known about how EMR alerts affect the workflow and decision-making of emergency physicians (EPs).

STUDY OBJECTIVES

This study aimed to quantify the number of EMR alerts EPs receive, the time required to resolve alerts, the types of alerts EPs receive, and the impact of alerts on patient management.

METHODS

We performed a prospective observational study at a tertiary care ED with 130,000 visits annually. Research assistants observed EPs on shift from May to December 2018. They recorded the number of EMR alerts received, time spent addressing the alerts, the types of alerts received, and queried the EP to determine if the alert impacted patient management.

RESULTS

Seven residents and six attending physicians were observed on a total of 17 shifts and 153 patient encounters; 78% (119) of patient encounters involved alerts. These 119 patients triggered 530 EMR alerts. EPs spent a mean of 7.06 s addressing each alert and addressed 3.46 alerts per total patient seen. In total, EPs spent approximately 24 s per patient resolving alerts. Only 12 alerts (2.26%) changed clinical management.

CONCLUSION

EPs frequently receive EMR alerts, however, most alerts were not perceived to impact patient care. These alerts contribute to the high volume of interruptions EPs must contend with in the clinical environment of the ED.