A novel diversion protocol dramatically reduces diversion hours

Centralized Ambulance Diversion Policy Using Rolling-Horizon Optimization Framework to Minimize Patient Tardiness

Ambulance diversion (AD) is a common method for reducing crowdedness of emergency departments by diverting ambulance-transported patients to a neighboring hospital. In a multi-hospital system, the AD of one hospital increases the neighboring hospital's congestion. This should be carefully considered for minimizing patients' tardiness in the entire multi-hospital system. Therefore, this paper proposes a centralized AD policy based on a rolling-horizon optimization framework. It is an iterative methodology for coping with uncertainty, which first solves the centralized optimization model formulated as a mixed-integer linear programming model at each discretized time, and then moves forward for the time interval reflecting the realized uncertainty. Furthermore, the decentralized optimization, decentralized priority, and No-AD models are presented for practical application, which can also show the impact of using the following three factors: centralization, mathematical model, and AD strategy. The numerical experiments conducted based on the historical data of Seoul, South Korea, for 2017, show that the centralized AD policy outperforms the other three policies by 30%, 37%, and 44%, respectively, and that all three factors contribute to reducing patients' tardiness. The proposed policy yields an efficient centralized AD management strategy, which can improve the local healthcare system with active coordination between hospitals.

Effects of Real-time EMS Direction on Optimizing EMS Turnaround and Load-balancing Between Neighboring Hospital Campuses

Background: Implemented in September 2017, the "nurse navigator program" identified the preferred emergency department (ED) destination within a single healthcare system using real-time assessment of hospital and ED capacity and crowding metrics. Objective: The primary objective of the navigator program was to improve load-balancing between two closely situated emergency departments, both of which feed into the same inpatient facilities of a single healthcare system. A registered nurse in the hospital command center made real-time recommendations to emergency medical services (EMS) providers via radio, identifying the preferred destination for each transported patient based on such factors as chief complaint, ED volume, and waiting room census. The destination decision was made via the utilization of various real-time measures of health system capacity in conjunction with existing protocols dictating campus-specific clinical service availability. The objective of this study was to evaluate the efficacy of this real-time ambulance destination direction program as reflected in changes to emergency medical services (EMS) turnaround time and the incidence of intercampus transports. Methods: A before-and-after time series was performed to determine if program implementation resulted in a change in EMS turnaround time or incidence of intercampus transfers. Results: Implementation of the nurse navigator program was associated with a statistically significant decrease in EMS turnaround times for all levels of dispatch and transport at both hospital campuses. Intercampus transfers also showed significant improvement following implementation of the intervention, although this effect lagged behind implementation by several months. Conclusion: A proactive approach to EMS destination control using a nurse navigator with access to real-time hospital and ED capacity metrics appears to be an effective method of decreasing EMS turnaround time.

A review on ambulance offload delay literature

Ambulance offload delay (AOD) occurs when care of incoming ambulance patients cannot be transferred immediately from paramedics to staff in a hospital emergency department (ED). This is typically due to emergency department congestion. This problem has become a significant concern for many health care providers and has attracted the attention of many researchers and practitioners. This article reviews literature which addresses the ambulance offload delay problem. The review is organized by the following topics: improved understanding and assessment of the problem, analysis of the root causes and impacts of the problem, and development and evaluation of interventions. The review found that many researchers have investigated areas of emergency department crowding and ambulance diversion; however, research focused solely on the ambulance offload delay problem is limited. Of the 137 articles reviewed, 28 articles were identified which studied the causes of ambulance offload delay, 14 articles studied its effects, and 89 articles studied proposed solutions (of which, 58 articles studied ambulance diversion and 31 articles studied other interventions). A common theme found throughout the reviewed articles was that this problem includes clinical, operational, and administrative perspectives, and therefore must be addressed in a system-wide manner to be mitigated. The most common intervention type was ambulance diversion. Yet, it yields controversial results. A number of recommendations are made with respect to future research in this area. These include conducting system-wide mitigation intervention, addressing root causes of ED crowding and access block, and providing more operations research models to evaluate AOD mitigation interventions prior implementations. In addition, measurements of AOD should be improved to assess the size and magnitude of this problem more accurately.

Closure simulation for reduction of emergency patient diversion: a discrete agent-based simulation approach to minimizing ambulance diversion

Background

The city of Munich uses web-based information system IVENA to promote exchange of information regarding hospital offerings and closures between the integrated dispatch center and hospitals to support coordination of the emergency medical services. Hospital crowding resulting in closures and thus prolonged transportation time poses a major problem. An innovative discrete agent model simulates the effects of novel policies to reduce closure times and avoid crowding.

Methods

For this analysis, between 2013 and 2017, IVENA data consisting of injury/disease, condition, age, estimated arrival time and assigned hospital or hospital-closure statistics as well as underlying reasons were examined. Two simulation experiments with three policy variations are performed to gain insights on the influence of diversion policies onto the outcome variables.

Results

A total of 530,000+ patients were assigned via the IVENA system and 200,000+ closures were requested during this time period. Some hospital units request a closure on more than 50% of days. The majority of hospital closures are not triggered by the absolute number of patient arrivals, but by a sudden increase within a short time period. Four of the simulations yielded a specific potential for shortening of overall closure time in comparison to the current status quo.

Conclusion

Effective solutions against crowding require common policies to limit closure status periods based on quantitative thresholds. A new policy in combination with a quantitative arrival sensor system may reduce closing hours and optimize patient flow.

Concepts, antecedents and consequences of ambulance ramping in the emergency department: A scoping review

BACKGROUND

Patients arriving at the Emergency Department (ED) via ambulance can experience a delay in receiving definitive care. In Australia, this phenomenon is referred to as 'Ambulance Ramping', 'Patient Off Stretcher Time Delay' or 'Offload Delay'. As a direct consequence of crowding, and in the context of a worldwide increase in ED and ambulance usage, hospital and ambulance service function is hampered. The aim of this review was to synthesize the literature with respect to the conceptualisation, meaning, antecedents and consequences of Ambulance Ramping.

METHODS

This was a scoping review and synthesis of the literature. Six search terms were employed: emergency medical technician; paramedic; ambulance; hospital emergency services; delay; and ambulance ramping. Journal articles that discussed Ambulance Ramping (or similar terms), and were published in English between 1983 and March 2015 were included. PubMed and CINAHL Plus databases were searched, with secondary searches of reference lists and grey literature also undertaken.

RESULTS

Thirteen papers were selected and inform this review. Several terms are used internationally to describe phenomena similar to Ambulance Ramping, where there is a delay in patient handover from paramedics to ED clinicians. Antecedents of Ambulance Ramping included reduction/limitation of ambulance diversion, patient acuity, the time of day, the day of the week, insufficient ED staff, insufficient ED beds, and high ED workload. Consequences of Ambulance Ramping include: further delays in patients' ability to receive definitive care and workforce stressors such as missed meal breaks, sick leave and staff attrition.

CONCLUSION

While the existing research literature indicates that Ambulance Ramping is problematic, little is known about the patient's experience of Ambulance Ramping; this is required so that an enhanced understanding of its implications, including those for emergency nurses, can be identified.

Transfer of care and offload delay: continued resistance or integrative thinking?

The disciplines of paramedicine and emergency medicine have evolved synchronously over the past four decades, linked by emergency physicians with expertise in prehospital care. Ambulance offload delay (OD) is an inevitable consequence of emergency department overcrowding (EDOC) and compromises the care of the patient on the ambulance stretcher in the emergency department (ED), as well as paramedic emergency medical service response in the community. Efforts to define transfer of care from paramedics to ED staff with a view to reducing offload time have met with resistance from both sides with different agendas. These include the need to return paramedics to serve the community versus the lack of ED capacity to manage the patient. Innovative solutions to other system issues, such as rapid access to trauma teams, reducing door-to-needle time, and improving throughput in the ED to reduce EDOC, have been achieved by involving all stakeholders in an integrative thinking process. Only by addressing this issue in a similar integrative process will solutions to OD be realized.

Ambulance Diversion: Ethical Dilema and Necessary Evil

Ambulance diversion presents a dilemma pitting the ethical principles of patient autonomy and beneficence against the principles of justice and nonmaleficence. The guiding priority in requesting ambulance diversion is to maintain the safety of all patients in the emergency department as well as those waiting to be seen. Policies and procedures can be developed that maintain the best possible outcome for patients transported by ambulance during periods of diversion. More importantly, the discussion must focus on addressing the operational inefficiencies within our health systems that lead to conditions such as patient boarding, high waiting room congestion, and ambulance diversion. Addressing these inefficiencies has a greater potential impact on ambulance diversion than simply banning or restricting the practice for practical or ethical considerations.

Evaluation of ambulance offload delay at a university hospital emergency department

Background

Ambulance offload delay (AOD) has been recognized by the National Association of EMS Physicians (NAEMSP) as an important quality marker. AOD is the time between arrival of a patient by EMS and the time that the EMS crew has given report and moved the patient off of the EMS stretcher, allowing the EMS crew to begin the process of returning to service. The AOD represents a potential delay in patient care and a delay in the availability of an EMS crew and their ambulance for response to emergencies. This pilot study was designed to assess the AOD at a university hospital utilizing direct observation by trained research assistants.

Findings

A convenience sample of 483 patients was observed during a 12-month period. Data were analyzed to determine the AOD overall and for four groups of National Emergency Department Overcrowding Scale (NEDOCS) score ranges. The AOD ranged from 0 min to 157 min with a median of 11 min. When data were grouped by NEDOCS score, there was a statistically significant difference in median AOD between the groups (p < 0.001), indicating the relationship between ED crowding and AOD.

Conclusion

The median AOD was considered significant and raised concerns related to patient care and EMS system resource availability. The NEDOCS score had a positive correlation with AOD and should be further investigated as a potential marker for determining diversion status or for destination decision-making by EMS personnel.

Matching capacity to demand: a regional dashboard reduces ambulance avoidance and improves accessibility of receiving hospitals

OBJECTIVES

ambulance diversion is a dangerous repercussion of emergency department (ED) crowding and can reflect fragmentation and a lack of coordination in designating optimal patient offload sites for prehospital providers. The objective of this study was to evaluate whether proactive destination selection through the Regional Emergency Patient Access and Coordination (REPAC) program would enhance capacity and ED flow management.

METHODS

the REPAC system provides a dashboard that synthesizes real-time capacity and acuity data for all three adult EDs in the city of Calgary, assigning a color code to reflect receiving status. It assigns destination for the next patient transported by emergency medical services (EMS) by categorizing ED sites as having either a favorable (green/yellow) status or unfavorable (orange/red) status. Three time windows were analyzed: a 6-month window prior to REPAC implementation (pre), the first 6-month window immediately following (post1), and the second 6-month period following (post2). Primary outcomes of interest were the proportion of time spent in favorable versus unfavorable status and EMS avoidances for all adult ED sites in the region (percentage of total time with any center on EMS bypass). Information on total number of ED visits, percentage of patients arriving by EMS transports, admission rates, patient acuity (Canadian Triage and Acuity Score), age, and length of stay (LOS) for admitted and discharged patients was collected. The Kruskal-Wallis test was employed for primary outcome analysis.

RESULTS

implementation of the REPAC system resulted in an increase in the proportion of total time region hospitals reported favorable status (57.5% vs. 64.1%) pre versus post1, an effect that was accentuated at 1 year (post2, 78.7%; p < 0.001 for both comparisons). There was a concomitant decrease in EMS avoidances as a result of the REPAC system, 4.4% to 1.8% (pre vs. post1), also further improved at 1 year to 0.6% (p < 0.001 for both comparisons).

CONCLUSIONS

proactive EMS destination selection through a real-time integrated electronic surveillance system enhances regional capacity and flow management while significantly reducing ambulance diversions.