Delayed flow is a risk to patient safety: A mixed method analysis of emergency department patient flow

The scope of emergency nursing viewed through the lens of complex adaptive systems: A discussion paper

Across the world, emergency department nurses care for patients around the clock all year long. They perform tasks ranging from direct nursing care to managing patient flow, working in an environment characterised by interdependencies among numerous actors. The complex context in which emergency nurses operate has not been thoroughly described or discussed, indicating a knowledge gap. Hence, the aim of this discussion paper is to describe and discuss nursing in the emergency department and the connection between patient flow and nursing care, drawing on the concept of complex adaptive systems. The acts of direct patient care and patient flow, when viewed through the lens of complex adaptive systems, are central components of emergency nursing. Through a stepwise description of these two perspectives, based on literature and clinical experience from European countries, the paper illustrates the complexity of the emergency nursing context in a novel manner. We argue that direct patient care and patient flow, combined as patient flow management, constitute essential parts of the core of emergency department nursing. Further studies are needed to challenge or confirm this assertion.

From triage to departure: Older adults' ED journey. A mixed methods study

BACKGROUND

Rising Emergency Department (ED) demand strains resources to assess and manage frail older adults. Allied health supports comprehensive care, disposition planning and patient safety in the ED but often intervenes late. This study investigated factors affecting allied health referrals and co-designed an early allied health frailty service.

METHODS

An explanatory sequential mixed-methods approach was used. Patient journey mapping of low acuity older ED patients was followed by stakeholder focus groups.

RESULTS

From triage, 20 older ED patients waited a mean of 110 minutes (SD 83 minutes) for doctor assessment, 123 minutes (SD 116 minutes) for an ED bed and 355 minutes (SD 297 minutes) for allied health assessment with a mean ED length of stay (LOS) of 685 minutes (SD 444 minutes). Qualitative analysis of focus group discussions identified perceived benefits of an early allied health service including shorter LOS, earlier disposition planning, increased staff confidence and streamlined decision making. Perceived barriers were lack of space, competing assessments with doctors and incomplete investigations. Perceived solutions were refining the inclusion criteria and staff education.

CONCLUSION

Allied health assessment occurred six hours post presentation, outside national targets. Opportunities and barriers identified supported the development of an earlier allied health frailty service.

The influence of imaging protocols on complex ankle fracture manipulation in the ED: A before and after study

INTRODUCTION

Ankle injuries that present to the ED with instability of the joint due to multiple fractures/disruption of the mortise need to be re-aligned promptly to minimise complications. A protocol change was introduced whereby mobile radiographs would be performed in the ED resuscitation room during manipulation of a complex ankle injury. The aim of this study was to determine if the overall time to definitive reduction had reduced for these patients, improving patient flow.

METHOD

Data was collected from patients attending the ED with a complex or unstable ankle injury in a UK single-centre over 6-months periods, pre pathway introduction (2019), immediately post change (2021) and 2 years post implementation (2023).

RESULTS

In excess of 3000 patients had ankle radiographs performed in each cohort of data collection with an average of 2.9 % of injuries categorised as complex or unstable and requiring manipulation, consistent across the cohorts (p = 0.246). Increasing compliance with the new pathway was evident over time with a significant time reduction demonstrated from initial ED presentation to final post manipulation imaging if mobile radiographs were obtained with the mean time 113 min quicker than those performed in the radiology department in 2023 (p = 0.00).

CONCLUSION

Although it takes time to embed new pathways and changes in practice, this study demonstrated that a simple change in imaging provision had a positive impact for patients with a complex ankle injury.

IMPLICATIONS FOR PRACTICE

Providing post manipulation radiographs in the ED resuscitation room allowed earlier confirmation of restored anatomical alignment for patients with a complex ankle injury and enabled clinicians to perform multiple manipulation attempts, if necessary, under the same sedation episode.

Innovations in Emergency Nursing: Adapting Patient Flow Management to Emergency Department Overcrowding

INTRODUCTION

The coronavirus disease-2019 pandemic brought greater attention to nurses' innovation and adaptability. Emergency nurses continue to adjust their patient flow management strategies in response to high levels of overcrowding, but this work has been poorly described.

METHODS

This paper describes findings from a grounded theory study that included 29 focus groups and interviews with emergency nurses. Data was also collected through 64 hours of participant observation across 4 emergency departments.

RESULTS

Two themes emerged to capture how emergency nurses manage patient flow in overcrowded departments. First, emergency nurses creatively adapt their resource use, staffing roles, and patient care processes to expand patient care capacity and expedite throughput. Second, nurses demonstrate cognitive adaptability by modifying their attention and focus. As crowding increases, nurses become more highly engaged in the work of patient flow management until excessive overcrowding may lead to disengagement. Nurses also shift their focus away from proactive and retrospective patient flow management strategies to become more attentive to meeting current patient care needs.

DISCUSSION

The ability of emergency departments to care for high patient volumes depends upon nurses' cognitive and organizational labor. Innovation and adaptability are essential components of emergency nursing work. Although emergency nurses have demonstrated great ingenuity, more work is needed to ensure that emergency patient flow management strategies are evidence-based.

Hospitalisations for non-specific low back pain in people presenting to South Australian public hospital emergency departments

OBJECTIVE

The present study sought to investigate predictors of hospitalisation in adults diagnosed with non-specific low back pain (LBP) and/or sciatica from an ED.

METHODS

A 5-year, multicentre retrospective observational study was conducted across six public hospitals (metropolitan and regional) using data from electronic medical records. Patient presentations were identified using LBP diagnostic codes and key data extracted (patient demographics, clinical activity, discharge destination). Descriptive statistics and logistic regression were used to measure associations between identified variables and hospitalisation.

RESULTS

There were 11 709 ED presentations across the study period. People aged ≥65 years (odds ratio [OR] 2.84, 95% confidence interval [CI] 2.61-3.10) and those who arrived at the ED via ambulance (age-adjusted OR 2.68, 95% CI 2.44-2.95) were more likely to be hospitalised. People were also more likely to be hospitalised when triaged as more urgent, when blood tests or advanced spinal imaging were ordered, and when i.v./subcutaneous opioids or oral benzodiazepines were administered. Hospitalisation rates for LBP were lower in regional hospitals, in people residing in lower socioeconomic areas and in Indigenous Australians.

CONCLUSION

Certain patient characteristics and ED clinical activity are associated with hospitalisations for LBP. Understanding these factors will better inform the design and delivery of appropriate high-quality care.

Consumer experiences of emergency department pre-triage waiting period: A mixed-methods study

BACKGROUND

Emergency department pre-triage waiting periods have received limited attention. We aimed to explore the pre-triage experiences and perspectives of consumers attending emergency departments.

METHODS

This mixed-methods cross-sectional study included 92 participants (patients, carers, and guardians) who attended one of three public hospital emergency departments in metropolitan Melbourne (Victoria, Australia). Quantitative self-report outcomes were waiting time (minutes) and number of previous emergency department visits. Qualitative outcomes (explored through content analysis) were consumer experiences and perspectives of emergency departments in general and the pre-triage waiting period specifically.

RESULTS

Participants reported a median (IQR) waiting time since triage of 45 (100) minutes and 65 % (n = 60) experienced a pre-triage waiting time of 3-90 minutes. The most common perception of the pre-triage waiting period was an expectation to wait (n = 16, 17 %), yet 46 % (n = 42) reported difficulties during this period, such as other patients cutting in queue (n = 6, 6.5 %). Few positives were associated with the pre-triage waiting period and suggestions to improve this period tended to focus on facilitating a queuing system (n = 18, 20 %).

CONCLUSION

Consumers expected and understood triage, yet reported various difficulties and few positives during the pre-triage waiting period and suggested improvements to the current system, warranting investigation of interventions to improve queuing.

Work Systems Analysis of Emergency Nurse Patient Flow Management Using the Systems Engineering Initiative for Patient Safety Model: Applying Findings From a Grounded Theory Study

Background

Emergency nurses actively manage the flow of patients through emergency departments. Patient flow management is complex, cognitively demanding work that shapes the timeliness, efficiency, and safety of patient care. Research exploring nursing patient flow management is limited. A comprehensive analysis of emergency nursing work systems is needed to improve patient flow work processes.

Objective

The aim of this paper is to describe the work system factors that impact emergency nurse patient flow management using the System Engineering Initiative for Patient Safety model.

Methods

This study used grounded theory methodologies. Data were collected through multiple rounds of focus groups and interviews with 27 emergency nurse participants and 64 hours of participant observation across 4 emergency departments between August 2022 and February 2023. Data were analyzed using coding, constant comparative analysis, and memo-writing. Emergent themes were organized according to the first component of the System Engineering Initiative for Patient Safety model, the work system.

Results

Patient flow management is impacted by diverse factors, including personal nursing characteristics; tools and technology; external factors; and the emergency department's physical and socio-organizational environment. Participants raised concerns about the available technology's functionality, usability, and accessibility; departmental capacity and layout; resource levels across the health care system; and interdepartmental teamwork. Other noteworthy findings include obscurity and variability across departments' staff roles titles, functions, and norms; the degree of provider involvement in patient flow management decisions; and management's enforcement of timing metrics.

Conclusions

There are significant barriers to the work of emergency patient flow management. More research is needed to measure the impact of these human factors on patient flow outcomes. Collaboration between health care administrators, human factors engineers, and nurses is needed to improve emergency nurse work systems.

A time-motion study on impact of spatial separation for empiric airborne precautions in emergency department length of stay

AIMS

To evaluate the impact of spatial separation on patient flow in the emergency department.

DESIGN

This was a retrospective, time-and-motion analysis conducted from 15 to 22 August, 2022 at the emergency department of a tertiary hospital in Kuala Lumpur, Malaysia. During this duration, spatial separation was implemented in critical and semi-critical zones to separate patients with symptoms of respiratory infections into respiratory area, and patients without into non-respiratory area. This study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.

METHODS

Patients triaged to critical and semi-critical zones were included in this study. Timestamps of patient processes in emergency department until patient departure were documented.

RESULTS

The emergency department length-of-stay was longer in respiratory area compared to non-respiratory area; 527 min (381-698) versus 390 min (285-595) in critical zone and 477 min (312-739) versus 393 min (264-595) in semi-critical zone. In critical zone, time intervals of critical flow processes and compliance to hospital benchmarks were similar in both areas. More patients in respiratory area were managed within the arrival-to-contact ≤30 min benchmark and more patients in non-respiratory area had emergency department length-of-stay ≤8 h.

CONCLUSIONS

The implementation of spatial separation in infection control should address decision-to-departure delays to minimise emergency department length of stay.

IMPACT

The study evaluated the impact of spatial separation on patient flow in the emergency department. Emergency department length-of-stay was significantly prolonged in the respiratory area. Hospital administrators and policymakers can optimise infection control protocols measures in emergency departments, balancing infection control measures with efficient patient care delivery.

REPORTING METHOD

STROBE guidelines.

NO PATIENT OR PUBLIC CONTRIBUTION

None.

TRIAL AND PROTOCOL REGISTRATION

The study obtained ethics approval from the institution's Medical Ethics Committee (MREC ID NO: 20221113-11727).

STATISTICAL ANALYSIS

The author has checked and make sure our submission has conformed to the Journal's statistical guideline. There is a statistician on the author team (Noor Azhar).

Identifying the obstacles facing emergency nurses regarding treating CTAS1 and CTAS2 in Saudi Arabia

BACKGROUND

Emergency nurses play a pivotal role in delivering efficient emergency healthcare, yet they often encounter numerous challenges, especially while managing life-threatening cases, impacting both their well-being and patient satisfaction. This study seeks to identify the prevalent challenges faced by these nurses in Saudi hospitals when handling Canadian Triage and Acuity Scale (CTAS1 and CTAS2) cases, with the aim of mitigating or managing these issues in the future.

METHODS

This study incorporated a mixed-method approach to identify obstacles in Emergency Department (ED) nursing treatment of CTAS1 and CTAS2 cases in two major Saudi Arabian hospitals. The research began with qualitative focus group interviews with expert ED nurses, followed by a quantitative survey to measure and explore relationships among the qualitative findings. Data analysis leveraged qualitative thematic analysis and principal component analysis, ensuring rigorous examination and validation of data to drive meaningful conclusions.

FINDINGS

From expert interviews, key challenges for emergency nurses were identified, including resource management, communication, training compliance, and psychological factors. A survey of 172 nurses further distilled these into five major issues: patient care management, handling critical cases, administration support, patient care delay, and stress from patients' families.

CONCLUSION

Through a mixed-method approach, this study pinpoints five pivotal challenges confronting emergency nurses in Saudi hospitals. These encompass difficulties in patient care management, the psychological toll of handling critical cases, inadequate administrative support, delays due to extended patient stays, and the stress induced by the presence of patients' families, all of which significantly impede emergency department efficiency and compromise nurse well-being.

Application of a Human Factors Systems Approach to Healthcare Control Centres for Managing Patient Flow: A Scoping Review

Over the past decade, healthcare systems have started to establish control centres to manage patient flow, with a view to removing delays and increasing the quality of care. Such centres-here dubbed Healthcare Capacity Command/Coordination Centres (HCCCs)-are a challenge to design and operate. Broad-ranging surveys of HCCCs have been lacking, and design for their human users is only starting to be addressed. In this review we identified 73 papers describing different kinds of HCCCs, classifying them according to whether they describe virtual or physical control centres, the kinds of situations they handle, and the different levels of Rasmussen's [1] risk management framework that they integrate. Most of the papers (71%) describe physical HCCCs established as control centres, whereas 29% of the papers describe virtual HCCCs staffed by stakeholders in separate locations. Principal functions of the HCCCs described are categorised as business as usual (BAU) (48%), surge management (15%), emergency response (18%), and mass casualty management (19%). The organisation layers that the HCCCs incorporate are classified according to the risk management framework; HCCCs managing BAU involve lower levels of the framework, whereas HCCCs handling the more emergent functions involve all levels. Major challenges confronting HCCCs include the dissemination of information about healthcare system status, and the management of perspectives and goals from different parts of the healthcare system. HCCCs that take the form of physical control centres are just starting to be analysed using human factors principles that will make staff more effective and productive at managing patient flow.

Use of Mobile Technologies to Streamline Pretriage Patient Flow in the Emergency Department: Observational Usability Study

BACKGROUND

In emergency departments (EDs), triage nurses are under tremendous daily pressure to rapidly assess the acuity level of patients and log the collected information into computers. With self-service technologies, patients could complete data entry on their own, allowing nurses to focus on higher-order tasks. Kiosks are a popular working example of such self-service technologies; however, placing a sufficient number of unwieldy and fixed machines demands a spatial change in the greeting area and affects pretriage flow. Mobile technologies could offer a solution to these issues.

OBJECTIVE

The aim of this study was to investigate the use of mobile technologies to improve pretriage flow in EDs.

METHODS

The proposed stack of mobile technologies includes patient-carried smartphones and QR technology. The web address of the self-registration app is encoded into a QR code, which was posted directly outside the walk-in entrance to be seen by every ambulatory arrival. Registration is initiated immediately after patients or their proxies scan the code using their smartphones. Patients could complete data entry at any site on the way to the triage area. Upon completion, the result is saved locally on smartphones. At the triage area, the result is automatically decoded by a portable code reader and then loaded into the triage computer. This system was implemented in three busy metropolitan EDs in Shanghai, China. Both kiosks and smartphones were evaluated randomly while being used to direct pretriage patient flow. Data were collected during a 20-day period in each center. Timeliness and usability of medical students simulating ED arrivals were assessed with the After-Scenario Questionnaire. Usability was assessed by triage nurses with the Net Promoter Score (NPS). Observations made during system implementation were subject to qualitative thematic analysis.

RESULTS

Overall, 5928 of 8575 patients performed self-registration on kiosks, and 7330 of 8532 patients checked in on their smartphones. Referring effort was significantly reduced (43.7% vs 8.8%; P<.001) and mean pretriage waiting times were significantly reduced (4.4, SD 1.7 vs 2.9, SD 1.0 minutes; P<.001) with the use of smartphones compared to kiosks. There was a significant difference in mean usability scores for "ease of task completion" (4.4, SD 1.5 vs 6.7, SD 0.7; P<.001), "satisfaction with completion time" (4.5, SD 1.4 vs 6.8, SD 0.6; P<.001), and "satisfaction with support" (4.9, SD 1.9 vs 6.6, SD 1.2; P<.001). Triage nurses provided a higher NPS after implementation of mobile self-registration compared to the use of kiosks (13.3% vs 93.3%; P<.001). A modified queueing model was identified and qualitative findings were grouped by sequential steps.

CONCLUSIONS

This study suggests patient-carried smartphones as a useful tool for ED self-registration. With increased usability and a tailored queueing model, the proposed system is expected to minimize pretriage waiting for patients in the ED.

Patients' pathways to the emergency department: a scoping review

BACKGROUND

Emergency department (ED) crowding is a common healthcare issue with multiple causes. One important knowledge area is understanding where patients arrived from and what care they received prior to ED admission. This information could be used to inform strategies to provide care for low acuity patients outside of the hospital and reduce unnecessary ED admissions. The aim of this scoping review was to provide a comprehensive overview of global published research examining the acute care trajectory of all ED patients.

METHODS

The scoping review was performed according to the JBI Manual for Evidence Synthesis and the PRISMA-SCR checklist. A comprehensive literature search was performed to identify studies describing where patients arrived from and/or whose pathway of care was before an ED visit. The search was conducted in MEDLINE, Embase, and the Cochrane Library from inception through December 5th, 2022. Two reviewers independently screened the records.

RESULTS

Out of the 6,465 records screened, 14 studies from Australia, Canada, Haiti, Norway, Sweden, Switzerland, Belgium, Indonesia, and the UK met the inclusion criteria. Four studies reported on where patients physically arrived from, ten reported how patients were transported, six reported who referred them, and six reported whether medical care or advice was sought prior to visiting an ED.

CONCLUSION

This scoping review revealed a lack of studies describing patients' pathways to the ED. However, studies from some countries indicate that a relatively large proportion of patients first seek care or guidance from a primary care physician (PCP) before visiting an ED. However, further research and published data are needed. To improve the situation, we recommend the development and implementation of a template for the uniform reporting of factors outside the ED, including where the patient journey began, which healthcare facilities they visited, who referred them to the ED, and how they arrived.

An Integrative Systematic Review of Promoting Patient Safety Within Prehospital Emergency Medical Services by Paramedics: A Role Theory Perspective

Timely and effective prehospital care significantly impacts patient outcomes. Paramedics, as the frontline providers of emergency medical services, are entrusted with a range of critical responsibilities aimed at safeguarding the well-being of patients from the moment they initiate contact in the out-of-hospital environment to the time of handover at healthcare facilities. This study aimed to understand the multifaceted roles of paramedics in promoting patient safety within the context of prehospital emergency medical services. A systematic review with an integrative approach using the Whittemore and Knafl's framework was performed examining qualitative, quantitative, and mixed-methods research, then conducting data assessment, quality appraisal, and narrative research synthesis. Literature search encompassed PubMed (including MEDLINE), Scopus, Cinahl, ProQuest, Web of Science, and EMBASE, with the aim of retrieving studies published in English in the last decade from 2013 to 2023. To conceptualize the roles of paramedics in ensuring patient safety, the review findings were reflected to and analyzed through the role theory. The preliminary exploration of the database yielded 2397 studies, ultimately narrowing down to a final selection of 16 studies for in-depth data analysis and research synthesis. The review findings explored facilitators and obstacles faced by paramedics in maintaining patient safety in terms of role ambiguity, role conflict, role overload, role identity, and role insufficiency in the dynamic nature of prehospital care. It also highlighted the diverse roles of paramedics in ensuring patient safety, which encompassed effective communication and decision making for the appropriate management of life-threatening emergencies. The effectiveness of paramedics in playing their roles in promoting patient safety relies on acknowledging the contributions of paramedics to the culture of patient safety; training and educational initiatives focused on enhancing their decision-making abilities and both their non-technical and technical competencies; developing relevant guidelines and protocols; improving collaboration between paramedics and other healthcare peers; optimizing environmental conditions and equipment; fostering a supportive work environment.

Hacking Acute Care: A Qualitative Study on the Health Care Impacts of Ransomware Attacks Against Hospitals

STUDY OBJECTIVE

Cyberattacks are an increasing threat to health care institutions which potentially impair patient outcomes. Current research is limited and focuses mainly on the technical consequences, whereas little is known about health care staff experiences and the effect on emergency care. This study aimed to explore the acute care effect of several large ransomware attacks against hospitals that occurred in Europe and the United States between 2017 and 2022.

METHODS

This interview-based qualitative study assessed the experiences of emergency health care professionals and information technology (IT) staff and investigated the challenges during the acute and recovery phase of hospital ransomware attacks. The semistructured interview guideline was based on relevant literature and cybersecurity expert consultation. Transcripts were anonymized, and traceable information regarding participants and/or their organizations was removed for privacy purposes.

RESULTS

Nine participants were interviewed, including emergency health care providers and IT-focused staff. Five themes were constructed from the data: effects and challenges regarding patient care continuity, challenges during the recovery process, personal effect on health care staff, preparedness and lessons identified, and future recommendations.

CONCLUSIONS

According to the participants of this qualitative study, ransomware attacks have a significant effect on emergency department workflow, acute care delivery, and the personal well-being of health care providers. Preparedness for such incidents is limited, and many challenges are encountered during the acute and recovery phase of attacks. Although there was profound hesitancy among hospitals to participate in this study, the limited number of participants provided valuable information that can be used to develop response strategies for hospital ransomware attacks.

Early prediction of hospital admission of emergency department patients

OBJECTIVE

The early prediction of hospital admission is important to ED patient management. Using available electronic data, we aimed to develop a predictive model for hospital admission.

METHODS

We analysed all presentations to the ED of a tertiary referral centre over 7 years. To our knowledge, our data set of nearly 600 000 presentations is the largest reported. Using demographic, clinical, socioeconomic, triage, vital signs, pathology data and keywords in electronic notes, we trained a machine learning (ML) model with presentations from 2015 to 2020 and evaluated it on a held-out data set from 2021 to mid-2022. We assessed electronic medical records (EMRs) data at patient arrival (baseline), 30, 60, 120 and 240 min after ED presentation.

RESULTS

The training data set included 424 354 data points and the validation data set 53 403. We developed and trained a binary classifier to predict inpatient admission. On a held-out test data set of 121 258 data points, we predicted admission with 86% accuracy within 30 min of ED presentation with 94% discrimination. All models for different time points from ED presentation produced an area under the receiver operating characteristic curve (AUC) ≥0.93 for admission overall, with sensitivity/specificity/F1-scores of 0.83/0.90/0.84 for any inpatient admission at 30 min after presentation and 0.81/0.92/0.84 at baseline. The models retained lower but still high AUC levels when separated for short stay units or inpatient admissions.

CONCLUSION

We combined available electronic data and ML technology to achieve excellent predictive performance for subsequent hospital admission. Such prediction may assist with patient flow.

Monitoring Diagnostic Safety Risks in Emergency Departments: Protocol for a Machine Learning Study

BACKGROUND

Diagnostic decision making, especially in emergency departments, is a highly complex cognitive process that involves uncertainty and susceptibility to errors. A combination of factors, including patient factors (eg, history, behaviors, complexity, and comorbidity), provider-care team factors (eg, cognitive load and information gathering and synthesis), and system factors (eg, health information technology, crowding, shift-based work, and interruptions) may contribute to diagnostic errors. Using electronic triggers to identify records of patients with certain patterns of care, such as escalation of care, has been useful to screen for diagnostic errors. Once errors are identified, sophisticated data analytics and machine learning techniques can be applied to existing electronic health record (EHR) data sets to shed light on potential risk factors influencing diagnostic decision making.

OBJECTIVE

This study aims to identify variables associated with diagnostic errors in emergency departments using large-scale EHR data and machine learning techniques.

METHODS

This study plans to use trigger algorithms within EHR data repositories to generate a large data set of records that are labeled trigger-positive or trigger-negative, depending on whether they meet certain criteria. Samples from both data sets will be validated using medical record reviews, upon which we expect to find a higher number of diagnostic safety events in the trigger-positive subset. Machine learning will be used to evaluate relationships between certain patient factors, provider-care team factors, and system-level risk factors and diagnostic safety signals in the statistically matched groups of trigger-positive and trigger-negative charts.

RESULTS

This federally funded study was approved by the institutional review board of 2 academic medical centers with affiliated community hospitals. Trigger queries are being developed at both organizations, and sample cohorts will be labeled using the triggers. Machine learning techniques such as association rule mining, chi-square automated interaction detection, and classification and regression trees will be used to discover important variables that could be incorporated within future clinical decision support systems to help identify and reduce risks that contribute to diagnostic errors.

CONCLUSIONS

The use of large EHR data sets and machine learning to investigate risk factors (related to the patient, provider-care team, and system-level) in the diagnostic process may help create future mechanisms for monitoring diagnostic safety.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/24642.