Ambulance and helicopter response time. Association with patient outcome and illness severity: Protocol of a systematic literature review and meta-analysis.

BACKGROUND: Response time for emergency medical service units is a key performance indicator. Studies have shown reduced response time association with improved outcome for specific critical conditions. To achieve short response time, emergency vehicles utilize lights and sirens, and crews are allowed to be non-compliant with traffic rules, posing a risk for accident. The purpose of the systematic review and meta-analysis is to provide an overview of the current body of evidence regarding the association, if any, between ambulance and helicopter response time and major complications and mortality in patients conveyed by ambulance and/or helicopter. Our secondary aim will be to enhance knowledge in the field of criteria-based dispatch to provide decision makers with evidence to optimize dispatch of limited resources. RESEARCH QUESTIONS: What is the association between overall emergency medical services unit response time and patient outcomes, major complications, and time-critical conditions? What is the internal and external validity of the included literature? METHODS: We plan the systematic review and meta-analysis to be in accordance with the Cochrane Handbook and Joanna Briggs Institute Manual for Systematic Reviews. The methodology will include formulating the review questions using a Population, Exposure, and Outcome framework. Every study design is eligible, including qualitative, quantitative, and mixed-methods designs. We will include all articles in English, Scandinavian, German, French and Portuguese in this systematic review. RESULTS: We will publish results from the systematic review and meta-analysis in a peer-reviewed journal and we will present the results at scientific conferences and meetings. Results will also be available at www.ahrtemis.dk. CONCLUSION: We will base our conclusions on the findings of the review and meta-analysis.

Optimizing care pathways: A study of the urgent dispatch program and its impact on emergency department visits.

INTRODUCTION: The use of acute hospital-level care at home (hospital-at-home) for patients who are chronically ill has led to decreased medical costs, amount of sedentary time, and hospital admissions. Our large integrated healthcare system identified the need to develop a mechanism through which to decrease emergency department (ED) visits in this patient population by creating a home acute care program called Urgent Dispatch. The primary objective of this study was to determine the medical condition for referral and seven and 30-day ED visit rates. METHODS: This was a retrospective cohort of all patients referred to the Urgent Dispatch program from April 1, 2021, through February 28, 2022. We assessed encounters for patient demographics, referral source, reason for visit, number of at home visits, total number of days in the program, and determined if the patient had an ED encounter within seven and 30 days of participation in the program. The healthcare system includes 10 hospitals (academic, community and rural), 17 emergency departments (hospital-based and freestanding) and their associated outpatient clinics. RESULTS: A total of 2218 orders were placed with 1530 (70.8 %) resulting in enrollment in the Urgent Dispatch program. The majority were elderly (75 ± 15.6), white (70 %), female (64.4 %), and had Medicare as their primary insurance (82 %). The average number of visits made by Urgent Dispatch was 1.46 (SD ± 0.95). The average number of days enrolled in the program was 2.4 (SD ± 4.1). The top three referral sources to the program were outpatient primary care (42 %), home care (28 %) and emergency medicine (20 %). The top body systems requiring a visit were cardiovascular (22 %), general (18 %), and respiratory (17.2 %). Of the 1530 urgent dispatch referrals, 19.8 % (n = 303) had an ED visit within seven days, 12 % (n = 183) had an ED visit within eight to 30 days, and 68.2 % (n = 1044) had no ED visit. CONCLUSION: A home-based care model of healthcare delivery for patients with chronic medical conditions can provide effective care, with 80.2 % of patients avoiding an ED visit within seven days and 68.2 % avoiding an ED visit within 30 days.

Challenges of pre-hospital emergency care at Addis Ababa Fire and Disaster Risk Management Commission, Addis Ababa, Ethiopia: a qualitative study.

BACKGROUND: A challenge to pre-hospital emergency care is any barrier or obstacle that impedes quality pre-hospital care or impacts community pre-hospital utilization. The Addis Ababa Fire and Disaster Risk Management Commission (AAFDRMC) provides pre-hospital emergency services in Addis Ababa, Ethiopia. These services operate under a government-funded organization that delivers free emergency services, including out-of-hospital medical care and transportation to the most appropriate health facility. This study aimed to assess the challenges of pre-hospital emergency care at the Addis Ababa Fire and Disaster Risk Management Commission in Addis Ababa, Ethiopia. METHODS: A qualitative descriptive study was conducted from November 20 to December 4, 2022. Data were collected through in-depth, semi-structured interviews with 21 experienced individuals in the field of pre-hospital emergency care, who were selected using purposeful sampling. A thematic analysis method was used to analyze the data. RESULTS: This study includes twenty-one participants working at the Addis Ababa Fire and Disaster Risk Management Commission. Three major themes emerged. The themes that arose were the participants' perspectives on the challenges of pre-hospital emergency care in Addis Ababa, Ethiopia. CONCLUSION AND RECOMMENDATION: The Fire and Disaster Risk Management Commission faces numerous challenges in providing quality pre-hospital emergency care in Addis Ababa. Respondents stated that infrastructure, communication, and resources were the main causes of pre-hospital emergency care challenges. There has to be more focus on emergency management in light of infrastructure reform, planning, staff training, and education, recruiting additional professional power, improving communication, and making pre-hospital emergency care an independent organization in the city.

Resilient Artificial Intelligence in Health: Synthesis and Research Agenda Toward Next-Generation Trustworthy Clinical Decision Support.

Artificial intelligence (AI)-based clinical decision support systems are gaining momentum by relying on a greater volume and variety of secondary use data. However, the uncertainty, variability, and biases in real-world data environments still pose significant challenges to the development of health AI, its routine clinical use, and its regulatory frameworks. Health AI should be resilient against real-world environments throughout its lifecycle, including the training and prediction phases and maintenance during production, and health AI regulations should evolve accordingly. Data quality issues, variability over time or across sites, information uncertainty, human-computer interaction, and fundamental rights assurance are among the most relevant challenges. If health AI is not designed resiliently with regard to these real-world data effects, potentially biased data-driven medical decisions can risk the safety and fundamental rights of millions of people. In this viewpoint, we review the challenges, requirements, and methods for resilient AI in health and provide a research framework to improve the trustworthiness of next-generation AI-based clinical decision support.

Enhancing Hospital Efficiency and Patient Care: Real-Time Tracking and Data-Driven Dispatch in Patient Transport.

Inefficient patient transport in hospitals often leads to delays, overworked staff, and suboptimal resource utilization, ultimately impacting patient care. Existing dispatch management algorithms are often evaluated in simulation environments, raising concerns about their real-world applicability. This study presents a real-world experiment that bridges the gap between theoretical dispatch algorithms and real-world implementation. It applies process capability analysis at Taichung Veterans General Hospital in Taichung, Taiwan, and utilizes IoT for real-time tracking of staff and medical devices to address challenges associated with manual dispatch processes. Experimental data collected from the hospital underwent statistical evaluation between January 2021 and December 2021. The results of our experiment, which compared the use of traditional dispatch methods with the Beacon dispatch method, found that traditional dispatch had an overtime delay of 41.0%; in comparison, the Beacon dispatch method had an overtime delay of 26.5%. These findings demonstrate the transformative potential of this solution for not only hospital operations but also for improving service quality across the healthcare industry in the context of smart hospitals.

Video livestreaming from medical emergency callers' smartphones to emergency medical dispatch centres: a scoping review of current uses, opportunities, and challenges.

BACKGROUND: Timely dispatch of appropriate emergency medical services (EMS) resources to the scene of medical incidents, and/or provision of treatment at the scene by bystanders and medical emergency lay callers (referred to as 'callers' in this review) can improve patient outcomes. Currently, in dispatch systems worldwide, prioritisation of dispatch relies mostly on verbal telephone information from callers, but advances in mobile phone technology provide means for sharing video footage. This scoping review aimed to map and identify current uses, opportunities, and challenges for using video livestreaming from callers' smartphones to emergency medical dispatch centres. METHODS: A scoping review of relevant published literature between 2007 and 2023 in the English language, searched within MEDLINE; CINAHL and PsycINFO, was descriptively synthesised, adhering to the PRISMA extension for scoping reviews. RESULTS: Twenty-four articles remained from the initial search of 1,565 articles. Most studies were simulation-based and focused on emergency medical dispatchers' (referred to as 'dispatcher/s' in this review) assisted video cardiopulmonary resuscitation (CPR), predominantly concerned with measuring how video impacts CPR performance. Nine studies were based on real-life practice. Few studies specifically explored experiences of dispatchers or callers. Only three articles explored the impact that using video had on the dispatch of resources. Opportunities offered by video livestreaming included it being: perceived to be useful; easy to use; reassuring for both dispatchers and callers; and informing dispatcher decision-making. Challenges included the potential emotional impact for dispatchers and callers. There were also concerns about potential misuse of video, although there was no evidence that this was occurring. Evidence suggests a need for appropriate training of dispatchers and video-specific dispatch protocols. CONCLUSION: Research is sparse in the context of video livestreaming. Few studies have focussed on the use of video livestreaming outside CPR provision, such as for trauma incidents, which are by their nature time-critical where visual information may offer significant benefit. Further investigation into acceptability and experience of the use of video livestreaming is warranted, to understand the potential psychological impact on dispatchers and callers.

Exploring paramedic perspectives on emergency medical service (EMS) delivery in Alberta: a qualitative study.

PURPOSE: Emergency Medical Services (EMS) in Alberta are facing critical challenges. This qualitative study aims to describe and understand the frontline perspective regarding system level issues and propose provider-informed policy recommendations. METHODS: 19 semi-structured one-on- one interviews were conducted with Primary or Advanced Care Paramedics (PCP/ACP) across Alberta. Participants were asked to share their perspectives, experiences and recommendations in relation to EMS response times and the working environment. Interviews were analyzed using thematic analysis to identify themes and subthemes. RESULTS: Two core themes were identified as areas of concern: poor response times and the EMS working environment, which each influence and impact the other. Within response times, paramedics highlighted specific difficulties with ED offloading, a lack of resources, low-acuity calls, and rural challenges. In terms of the EMS working environment, four subthemes were apparent including attrition, unhealthy culture, organizational barriers and the need for paramedic empowerment. Providers made many recommendations including creating and expanding emergency mobile integrated health (MIH) branches, sharing 811 and 911 responses, and enforcing ED target offload times amongst other suggestions. CONCLUSIONS: While response times are a key and highly visible problem, there are many critical factors like the EMS working environment that degrade patient care and cause concern amongst frontline practitioners. Multifaceted policy changes are to be explored to reduce disfunction within EMS services, enhance the well-being of the workforce and deliver improved patient care. Specific EMS-oriented policies are important for moving forward to reduce transfers to EDs, but the broader health system which is over capacity is causing downstream effects into EMS must be addressed by government and health administrators.

Telephone triage and dispatch of ambulances to patients with suspected and verified acute stroke - a descriptive study.

OBJECTIVES: In this study we aimed to explore EMCC triage of suspected and confirmed stroke patients to gain more knowledge about the initial phase of the acute stroke response chain. Accurate dispatch at the Emergency Medical Communication Center (EMCC) is crucial for optimal resource utilization in the prehospital service, and early identification of acute stroke is known to improve patient outcome. MATERIALS AND METHODS: We conducted a descriptive retrospective study based on data from the Emergency Department and EMCC records at a comprehensive stroke center in Oslo, Norway, during a six-month period (2019-2020). Patients dispatched with EMCC stroke criteria and/or discharged with a stroke diagnosis were included. We identified EMCC true positive, false positive and false negative stroke patients and estimated EMCC stroke sensitivity and positive predictive value (PPV). Furthermore, we analyzed prehospital time intervals and identified patient destinations to gain knowledge on ambulance services assessments. RESULTS: We included 1298 patients. EMCC stroke sensitivity was 77% (95% CI: 72 - 82%), and PPV was 16% (95% CI: 14 - 18%). EMCC false negative stroke patients experienced an increased median prehospital delay of 11 min (p < 0.001). Upon arrival at the scene, 68% of the EMCC false negative patients were identified as suspected stroke cases by the ambulance services. Similarly, 68% of the false positive stroke patients were either referred to a GP, out-of-hours GP acute clinic, local hospitals or left at the scene by the ambulance services, indicating that no obvious stroke symptoms were identified by ambulance personnel upon arrival at the scene. CONCLUSIONS: This study reveals a high EMCC stroke sensitivity and an extensive number of false positive stroke dispatches. By comparing the assessments made by both the EMCC and the ambulance service, we have identified specific patient groups that should be the focus for future research efforts aimed at improving the sensitivity and specificity of stroke recognition in the EMCC.

Contextual Factors of Mental Health Crisis Calls to Law Enforcement: A Brief Report.

Law enforcement officers are frequent first responders to people experiencing mental health or suicide crises. Yet, as communities consider expanding crisis response options, we know very little about the nature of these calls that could inform decision making about which crisis response is best suited for the situation. This study is an exploratory, descriptive assessment of contextual factors, both individual and situational, of mental health and suicide crisis calls. Our dataset includes 166 calls to 9-1-1 related to a mental health emergency or suicide crisis. The majority were calls related to suicide (125 calls, 75%), which included more contextual factors than mental health crisis calls. Most calls resulted in the subject being transferred to the local emergency department (60%) or were resolved on scene (12%). Police use of force was rare, and no arrests were reported. The implications of these findings for communities developing alternatives to law enforcement crisis response are discussed.

Association between daily circulatory emergency ambulance dispatches and short-term PM2.5 exposure in a heavily polluted area.

Emergency ambulance dispatches (EAD) have been proven to be associated with ambient particulate matter with diameter < 2.5 µm (PM2.5) concentration, but the associations of circulatory EAD remained inconclusive, especially in heavily polluted areas. In this time series conducted in Shenyang City, Northeastern China, we explored the associations between circulatory EAD and ambient PM2.5 and its constituents. Data including 113,508 circulatory EAD records, five types of PM2.5 constituents, and meteorological information spanning from 2014 to 2019 were retrieved. Using generalized additive models (GAMs), we explored the association between circulatory EAD and calculated excess risks induced by a 10 µg/m3 increase (ERR10) in PM2.5 mass and its constituents. ERR by percentage change (ERRpc) to compare among the different constituents were also calculated. Positive associations between circulatory EAD and PM2.5 mass, sulfates, organic matters, and black carbon, were found particularly at lag0 and lag0-5, with the ERR10 of 3.8% (3.2%-4.4%), 6.5% (2.2%-10.8%), 4.2% (1.7%-6.6%), and 30.2% (17.2%-43.4%) at lag0-5, respectively. Similar associations were observed for cardiovascular EAD, while cerebrovascular EAD suggested a positive association with O3 rather than PM2.5 or its constituents. Notably, PM2.5 mass exhibited the largest ERRpc for circulatory and cardiovascular EAD, followed by sulfates and black carbon. Moreover, the risks were enhanced for circulatory and cardiovascular EAD in males compared to females and during warmer seasons compared to colder seasons. Our findings contribute new evidence on PM2.5 exposure and circulatory EAD in relatively polluted areas.

Enhancing Bystander Intervention: Insights from the Utstein Analysis of Out-of-Hospital Cardiac Arrests in Slovenia.

Background and Objectives: Out-of-hospital cardiac arrest (OHCA) and survival is a pressing matter all around the world. Despite years of research and great strides and advancements, survival remains alarmingly low. The aim of this study was to measure the survival and characteristics of patients having an OHCA in Slovenia, with an in-depth look at how the bystanders affect the return of spontaneous circulation (ROSC) and survival of OHCA. Materials and Methods: In this observational cross-sectional prospective study, we enrolled patients between 1 September 2022 and 30 November 2022, with a follow-up period of 1 month. All OHCAs attended by the emergency medical services were included. Data were collected and analyzed according to the Utstein 2015 reporting template. Independent predictors of ROSC and 30-day survival or survival were explored using ridge regression. Results: ROSC was achieved in 41% of cases where resuscitation was attempted. The overall 30-day survival rate where resuscitation was attempted was 14%. In 13% of all cases where resuscitation was attempted, patients had a favorable neurological outcome. Using our prediction model, we found that defibrillation under 20 min and ventricular fibrillation as an initial rhythm improves survival, whilst no defibrillation and bystander full cardiopulmonary resuscitation negatively predicted survival. Conclusions: Slovenia has OHCA 30-day survival comparable to the rest of the European Union. The favorable neurological outcome is high. Our data show that bystanders do not significantly improve survival. This represents an untapped potential of general public education in cardiopulmonary resuscitation and automatic external defibrillator use. Following good practices from abroad and improving layperson CPR knowledge could further improve OHCA survival.

Alert system-supported lay defibrillation and basic life-support for cardiac arrest at home.

AIMS: Automated external defibrillators (AEDs) are placed in public, but the majority of out-of-hospital cardiac arrests (OHCA) occur at home. METHODS AND RESULTS: In residential areas, 785 AEDs were placed and 5735 volunteer responders were recruited. For suspected OHCA, dispatchers activated nearby volunteer responders with text messages, directing two-thirds to an AED first and one-third directly to the patient. We analysed survival (primary outcome) and neurologically favourable survival to discharge, time to first defibrillation shock, and cardiopulmonary resuscitation (CPR) before Emergency Medical Service (EMS) arrival of patients in residences found with ventricular fibrillation (VF), before and after introduction of this text-message alert system. Survival from OHCAs in residences increased from 26% to 39% {adjusted relative risk (RR) 1.5 [95% confidence interval (CI): 1.03-2.0]}. RR for neurologically favourable survival was 1.4 (95% CI: 0.99-2.0). No CPR before ambulance arrival decreased from 22% to 9% (RR: 0.5, 95% CI: 0.3-0.7). Text-message-responders with AED administered shocks to 16% of all patients in VF in residences, while defibrillation by EMS decreased from 73% to 39% in residences (P < 0.001). Defibrillation by first responders in residences increased from 22 to 40% (P < 0.001). Use of public AEDs in residences remained unchanged (6% and 5%) (P = 0.81). Time from emergency call to defibrillation decreased from median 11.7 to 9.3 min; mean difference -2.6 (95% CI: -3.5 to -1.6). CONCLUSION: Introducing volunteer responders directed to AEDs, dispatched by text-message was associated with significantly reduced time to first defibrillation, increased bystander CPR and increased overall survival for OHCA patients in residences found with VF.

Optimal Reactive Power Dispatch in ADNs using DRL and the Impact of Its Various Settings and Environmental Changes.

Modern active distribution networks (ADNs) witness increasing complexities that require efforts in control practices, including optimal reactive power dispatch (ORPD). Deep reinforcement learning (DRL) is proposed to manage the network's reactive power by coordinating different resources, including distributed energy resources, to enhance performance. However, there is a lack of studies examining DRL elements' performance sensitivity. To this end, in this paper we examine the impact of various DRL reward representations and hyperparameters on the agent's learning performance when solving the ORPD problem for ADNs. We assess the agent's performance regarding accuracy and training time metrics, as well as critic estimate measures. Furthermore, different environmental changes are examined to study the DRL model's scalability by including other resources. Results show that compared to other representations, the complementary reward function exhibits improved performance in terms of power loss minimization and convergence time by 10-15% and 14-18%, respectively. Also, adequate agent performance is observed to be neighboring the best-suited value of each hyperparameter for the studied problem. In addition, scalability analysis depicts that increasing the number of possible action combinations in the action space by approximately nine times results in 1.7 times increase in the training time.

Medical emergencies at sea: an analysis of ambulance-supported and autonomously performed operations by lifeboat crews.

BACKGROUND: Very little data is available about the involvement of lifeboat crews in medical emergencies at sea. The aim of this study is to analyze the medical operations at sea performed by the Royal Netherlands Sea Rescue Institution (KNRM). METHODS: This is a retrospective descriptive analysis of all medical operations at sea performed by the KNRM between January 2017 and January 2020. The operations were divided in three groups: with ambulance crew aboard the lifeboat, ambulance crew on land waiting for the arrival of the lifeboat, and autonomous operations (without ambulance crew involvement). The main outcome measures were circumstances, encountered medical problems, follow-up and crew departure time. RESULTS: The KNRM performed 282 medical operations, involving 361 persons. Operations with ambulance crew aboard the lifeboat (n = 39; 42 persons) consisted mainly of persons with serious trauma or injuries; 32 persons (76.2%) were transported to a hospital. Operations with ambulance crew on land (n = 153; 188 persons) mainly consisted of situations where time was essential, such as persons who were still in the water, with risk of drowning (n = 45, 23.9%), on-going resuscitations (n = 9, 4.8%) or suicide attempts (n = 7, 3.7%). 101 persons (53,7%) were transported to a hospital. All persons involved in the autonomous operations (n = 90; 131 persons) had minor injuries. 38 persons (29%) needed additional medical care, mainly for (suspected) fractures or stitches. In 115 (40.8%) of all operations lifeboat crews did not know that there was a medical problem at the time of departure. Crew departure time in operations with ambulance crew aboard the lifeboat (13.7 min, min. 0, max. 25, SD 5.74 min.) was significantly longer than in operations with ambulance crew on land (7.7 min, min. 0, max 21, SD 4.82 min., p < 0.001). CONCLUSION: This study provides new information about the large variety of medical emergencies at sea and the way that lifeboat and ambulance crews are involved. Crew departure time in operations with ambulance crew aboard the lifeboat was significantly longer than in operations with ambulance crew on land. This study may provide useful indications for improvement of future medical operations at sea, such as triage, because in 40.8% of operations, it was not known at the time of departure that there was a medical problem.

Potential to enhance telephone cardiopulmonary resuscitation with improved instructions - findings from a simulation-based manikin study with lay rescuers.

BACKGROUND: Telephone-Cardiopulmonary Resuscitation (T-CPR) significantly increases rate of bystander resuscitation and improves patient outcomes after out-of-hospital cardiac arrest (OHCA). Nevertheless, securing correct execution of instructions remains a difficulty. ERC Guidelines 2021 recommend standardised instructions with continuous evaluation. Yet, there are no explicit recommendations on a standardised wording of T-CPR in the German language. We investigated, whether a modified wording regarding check for breathing in a German T-CPR protocol improved performance of T-CPR. METHODS: A simulation study with 48 OHCA scenarios was conducted. In a non-randomised trial study lay rescuers were instructed using the real-life-CPR protocol of the regional dispatch centre and as the intervention a modified T-CPR protocol, including specific check for breathing (head tilt-chin lift instructions). Resuscitation parameters were assessed with a manikin and video recordings. RESULTS: Check for breathing was performed by 64.3% (n = 14) of the lay rescuers with original wording and by 92.6% (n = 27) in the group with modified wording (p = 0.035). In the original wording group the head tilt-chin manoeuvre was executed by 0.0% of the lay rescuers compared to 70.3% in the group with modified wording (p < 0.001). The average duration of check for breathing was 1 ± 1 s in the original wording group and 4 ± 2 s in the group with modified wording (p < 0.001). Other instructions (e.g. check for consciousness and removal of clothing) were well performed and did not differ significantly between groups. Quality of chest compression did not differ significantly between groups, with the exception of mean chest compression depth, which was slightly deeper in the modified wording group. CONCLUSION: Correct check for breathing seems to be a problem for lay rescuers, which can be decreased by describing the assessment in more detail. Hence, T-CPR protocols should provide standardised explicit instructions on how to perform airway assessment. Each protocol should be evaluated for practicability.

Development and Evaluation of an Online Toolkit for Managers of 9-1-1 Emergency Communications Centers to Reduce Occupational Stress.

This article describes the development and evaluation of an online workplace stress reduction toolkit for use by managers of 9-1-1 emergency communication centers (ECCs). A three-step process for development and testing of digital learning resources was used: (1) establishing need and focus through ECC manager stakeholder engagement, (2) pretesting of the toolkit with the target ECC manager audience, and (3) toolkit utilization and evaluation. The toolkit was developed in close partnership with stakeholders throughout the entire process. Toolkit usage was documented via registration data. The evaluation utilized an online survey that included closed and open-ended questions, which were analyzed using descriptive statistics and qualitative thematic analysis. Over a 20-month period, 274 people registered for the toolkit and, of those, 184 (67%) accessed the content. Respondents to the evaluation survey (N = 156) scored the toolkit highly on satisfaction, self-efficacy, and perceived utility measures. Survey respondents reported intent to apply toolkit content through the following: providing organizational resources to help workers take better care of themselves (41%); creating a lower stress worksite environment (35%) and sharing resources with staff to (1) reduce stress (19%), (2) support conflict resolution (21%), and (3) prevent and/or stop bullying (17%). In delivering actionable content to ECC managers, the toolkit shows promise in addressing and mitigating occupational stress in ECCs. Further research needs to determine the relationship of this strategy for reducing ECC stress.

Energy Dispatch for CCHP System in Summer Based on Deep Reinforcement Learning.

Combined cooling, heating, and power (CCHP) system is an effective solution to solve energy and environmental problems. However, due to the demand-side load uncertainty, load-prediction error, environmental change, and demand charge, the energy dispatch optimization of the CCHP system is definitely a tough challenge. In view of this, this paper proposes a dispatch method based on the deep reinforcement learning (DRL) algorithm, DoubleDQN, to generate an optimal dispatch strategy for the CCHP system in the summer. By integrating DRL, this method does not require any prediction information, and can adapt to the load uncertainty. The simulation result shows that compared with strategies based on benchmark policies and DQN, the proposed dispatch strategy not only well preserves the thermal comfort, but also reduces the total intra-month cost by 0.13~31.32%, of which the demand charge is reduced by 2.19~46.57%. In addition, this method is proven to have the potential to be applied in the real world by testing under extended scenarios.

How Well Do Emission Factors Approximate Emission Changes from Electricity System Models?

Multiple forms of marginal and average emission factors have been developed to estimate the carbon emissions of adding technologies, such as electric vehicles or solar panels, to the electricity grid. Different methods can produce very different results and conclusions, indicating that choosing between methods is not trivial. Researchers would therefore like to know how well these emission factors can approximate emission changes in the actual power grid. This question remains unanswered because of the difficulty in characterizing the accuracy of these methods. Ideally, estimates would be compared to measured emission changes, but it is implausible to measure these changes on an actual grid. Instead, we propose testing these emission factor methods in a controlled environment, using an electricity system dispatch model as a reference for comparison. We find that average emission factors have lower accuracy when estimating emissions from demand shifts and observe the same for demand-based marginal emission factors at an hourly resolution. In contrast, incremental and thermal marginal emission factors can reproduce the emission changes of a power grid model under many testing conditions and scenarios. We also find that easier-to-use annual time averages offer similar results to finer time resolutions for marginal and average factors, except demand-based.

Identification of Non-Fatal Opioid Overdose Cases Using 9-1-1 Computer Assisted Dispatch and Prehospital Patient Clinical Record Variables.

Background: The current epidemic of opioid overdoses in the United States necessitates a robust public health and clinical response. We described patterns of non-fatal opioid overdoses (NFOODs) in a small western region using data from the 9-1-1 Computer Assisted Dispatch (CAD) record and electronic Patient Clinical Records (ePCR) completed by EMS responders. We determined whether CAD and ePCR variables could identify NFOOD cases in 9-1-1 data for intervention and surveillance efforts. Methods: We conducted a retrospective analysis of 1 year of 9-1-1 emergency medical CAD and ePCR (including naloxone administration) data from the sole EMS provider in the response area. Cases were identified based on clinician review of the ePCR, and categorized as definitive NFOOD, probable NFOOD, or non-OOD. Sensitivity, specificity, positive and negative predictive values (PPV and NPV) of the most prevalent CAD and ePCR variables were calculated. We used a machine learning technique-Random-Forests (RF) modeling-to optimize our ability to accurately predict NFOOD cases within census blocks. Results: Of 37,960 9-1-1 calls, clinical review identified 158 NFOOD cases (0.4%), of which 123 (77.8%) were definitive and 35 (22.2%) were probable cases. Overall, 106 (67.1%) received naloxone from the EMS responder at the scene. As a predictor of NFOOD, naloxone administration by paramedics had 67.1% sensitivity, 99.6% specificity, 44% PPV, and 99.9% NPV. Using CAD variables alone achieved a sensitivity of 36.7% and specificity of 99.7%. Combining ePCR variables with CAD variables increased the diagnostic accuracy with the best RF model yielding 75.9% sensitivity, 99.9% specificity, 71.4% PPV, and 99.9% NPV. Conclusion: CAD problem type variables and naloxone administration, used alone or in combination, had sub-optimal predictive accuracy. However, a Random Forests modeling approach improved accuracy of identification, which could foster improved surveillance and intervention efforts. We identified the set of NFOODs that EMS encountered in a year and may be useful for future surveillance efforts.

Reduction in Interfacility Transfer Response Time after Implementation of an AutoLaunch Protocol.

Background: Interfacility transfers (IFTs) are an essential component of healthcare systems to allow movement of patients between facilities. It is essential to limit any delays in patients receiving the care they require at the receiving facility. The primary objective of this study was to assess whether IFT response time was reduced after implementation of an AutoLaunch protocol, in which an ambulance is dispatched to the sending facility prior to acceptance of the patient by the receiving facility. The secondary objective was to describe the frequency and amount of time ambulances had to stage outside the sending facility in situations where the ambulance arrived prior to the patient being accepted by the receiving facility. Methods: This was a retrospective pre-post analysis of patients undergoing IFT for services not available at the sending facility between October 1, 2018 and September 30, 2019, with the AutoLaunch protocol being implemented on March 25, 2019. IFT response time was defined as the time the transfer request was initially made to the time the ambulance arrived at the sending facility. Dispatch call logs and transport records were analyzed before and after implementation of the AutoLaunch protocol to assess for a difference in IFT response time as well as frequency and amount of time ambulances had to stage. Results: Of 1,881 IFTs analyzed, 885 (47.0%) were completed under the traditional protocol and 996 (53.0%) were completed under the AutoLaunch protocol. The median IFT response time under the traditional protocol was 27.5 minutes (interquartile range (IQR): 17.9, 43.3), compared with 19.9 minutes (IQR: 12.8, 28.2) under the AutoLaunch protocol (p < 0.01), representing a 27.6% reduction in response time, or 7.6 minutes saved. Of the 996 AutoLaunch transfers, there were 215 incidents (21.6%) in which the IFT ambulance had to stage, and the median staging time was 10.1 minutes (IQR: 4.9, 24.2). Conclusions: Implementation of our AutoLaunch protocol resulted in a significant reduction in ambulance response time for interfacility transfers. Further studies are needed to assess whether the reduction in response time is associated with improved patient outcomes for certain conditions.