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Journal articles on the topic 'Emergency Alert'
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Byun, Yoon-Kwan, Sekchin Chang, and Seong Jong Choi. "An Emergency Alert Broadcast Based on the Convergence of 5G and ATSC 3.0." Electronics 10, no. 6 (2021): 758. http://dx.doi.org/10.3390/electronics10060758.
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We propose a novel emergency alert broadcast mechanism for mobile phone users, which is based on the convergence of 5G and ATSC 3.0. Cellular networks including 5G adopt a broadcast technique for emergency alert. This technique just delivers a text-based message. Moreover, the message only includes a limited number of characters. Therefore, cellular networks cannot afford to provide abundant information in emergency cases. Broadcast networks such as ATSC 3.0 also offer an emergency alert broadcast service. This service can deliver a multimedia-based message in emergency cases. Therefore, the ATSC 3.0 supports more abundant information in the cases of emergency alert broadcasts. Especially, the ATSC 3.0 employs wake-up functionality and location information, which enables the delivery of emergency alerts to idle-state receivers in emergency areas. However, it is unlikely that the wake-up functionality and the location information are directly applicable to mobile phone users due to some practical issues. In order to improve the emergency alert broadcast service in mobile environments, we converge the 5G and the ATSC 3.0 networks, which effectively exploits the advantages of the networks. For the convergence network, we suggest a modified table, which associates the 5G message with the ATSC 3.0 message in the cases of emergency alerts. We also present a novel scenario for delivery of the emergency alert messages. Simulation results show that the convergence significantly enhances the receiver performance for emergency alert broadcast.
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Pulver, S. E., B. G. Celik, and Y. S. Abraham. "The status of emergency alert systems for construction project sites." IOP Conference Series: Earth and Environmental Science 1101, no. 3 (2022): 032025. http://dx.doi.org/10.1088/1755-1315/1101/3/032025.
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Abstract Worker safety is of the utmost importance; consequently, construction project sites use alert systems to notify project team members of emergencies on the job site. Various emergency alert systems are available in the construction industry, from the simple air horn to the more complex remote and app-based systems. This research aims to improve construction safety by investigating emergency alert systems that notify workers of widespread emergencies on the project site. The objectives are to identify the types of emergency alert systems available in the construction industry, explore the industry professionals’ perceptions of the existing emergency alert systems, and identify any gaps in the market for new technologies or the potential for improving existing ones. This study utilizes a survey of 34 industry professionals to identify the most commonly used emergency alert systems on jobsites and their knowledge and perceptions of app-based and remote emergency alert systems. Results indicate that while the air horn is the most used method of emergency alerts, the construction industry may be willing to spend more on remote emergency alert systems than app-based emergency alert systems. The primary concerns of the construction industry are the overall cost, the reliability of the high-tech systems, and the potential for false alarms. It appears that if the construction professionals’ concerns are addressed, they would be willing to spend more on app-based systems.
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Yoo, Junsang, Jeonghoon Lee, Poong-Lyul Rhee, et al. "Alert Override Patterns With a Medication Clinical Decision Support System in an Academic Emergency Department: Retrospective Descriptive Study." JMIR Medical Informatics 8, no. 11 (2020): e23351. http://dx.doi.org/10.2196/23351.
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Background Physicians’ alert overriding behavior is considered to be the most important factor leading to failure of computerized provider order entry (CPOE) combined with a clinical decision support system (CDSS) in achieving its potential adverse drug events prevention effect. Previous studies on this subject have focused on specific diseases or alert types for well-defined targets and particular settings. The emergency department is an optimal environment to examine physicians’ alert overriding behaviors from a broad perspective because patients have a wider range of severity, and many receive interdisciplinary care in this environment. However, less than one-tenth of related studies have targeted this physician behavior in an emergency department setting. Objective The aim of this study was to describe alert override patterns with a commercial medication CDSS in an academic emergency department. Methods This study was conducted at a tertiary urban academic hospital in the emergency department with an annual census of 80,000 visits. We analyzed data on the patients who visited the emergency department for 18 months and the medical staff who treated them, including the prescription and CPOE alert log. We also performed descriptive analysis and logistic regression for assessing the risk factors for alert overrides. Results During the study period, 611 physicians cared for 71,546 patients with 101,186 visits. The emergency department physicians encountered 13.75 alerts during every 100 orders entered. Of the total 102,887 alerts, almost two-thirds (65,616, 63.77%) were overridden. Univariate and multivariate logistic regression analyses identified 21 statistically significant risk factors for emergency department physicians’ alert override behavior. Conclusions In this retrospective study, we described the alert override patterns with a medication CDSS in an academic emergency department. We found relatively low overrides and assessed their contributing factors, including physicians’ designation and specialty, patients’ severity and chief complaints, and alert and medication type.
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Lee, Jihoon, Gyuhong Lee, Jinsung Lee, et al. "Securing the wireless emergency alerts system." Communications of the ACM 64, no. 10 (2021): 85–93. http://dx.doi.org/10.1145/3481042.
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Modern cell phones are required to receive and display alerts via the Wireless Emergency Alert (WEA) program, under the mandate of the Warning, Alert, and Response Act of 2006. These alerts include AMBER alerts, severe weather alerts, and (unblockable) Presidential Alerts, intended to inform the public of imminent threats. Recently, a test Presidential Alert was sent to all capable phones in the U.S., prompting concerns about how the underlying WEA protocol could be misused or attacked. In this paper, we investigate the details of this system and develop and demonstrate the first practical spoofing attack on Presidential Alerts, using commercially available hardware and modified open source software. Our attack can be performed using a commercially available software-defined radio, and our modifications to the open source software libraries. We find that with only four malicious portable base stations of a single Watt of transmit power each, almost all of a 50,000-seat stadium can be attacked with a 90% success rate. The real impact of such an attack would, of course, depend on the density of cellphones in range; fake alerts in crowded cities or stadiums could potentially result in cascades of panic. Fixing this problem will require a large collaborative effort between carriers, government stakeholders, and cellphone manufacturers. To seed this effort, we also propose three mitigation solutions to address this threat.
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Sampson, Fiona C., Rachel O’Hara, Jaqui Long, and Joanne Coster. "Understanding good communication in ambulance pre-alerts to the emergency department: findings from a qualitative study of UK emergency services." BMJ Open 15, no. 1 (2025): e094221. https://doi.org/10.1136/bmjopen-2024-094221.
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ObjectivesPrehospital notifications (pre-alerts) enable emergency department (ED) staff to prepare for the arrival of patients requiring a time-critical response. Effective communication of the pre-alert is key to enabling the ED to prepare appropriately, but evidence on communication practices is lacking. We undertook qualitative research to understand how pre-alert communication may be improved to optimise the ED response for pre-alerted patients.Design, setting and participantsData collection took place within three UK Ambulance Services and six EDs between August 2022 and April 2023. We undertook semi-structured interviews with 34 ambulance and 40 ED staff and 156 hours non-participation observation of pre-alert practice (143 pre-alerts). Verbatim interview transcripts and observation notes were imported into NVivo and analysed using a thematic approach.ResultsWe identified significant variation in how pre-alerts were communicated that influenced how effectively information was transferred. Ambulance and ED staff demonstrated a shared recognition that pre-alerts need to be communicated concisely, but both received minimal training in how to give and receive pre-alerts. Efficient pre-alerting was influenced by clinician experience and seniority. ED and ambulance clinicians following different information-sharing formats sometimes led to interruptions, information loss and tensions, particularly when an early ‘headline’ clinical concern had not been shared. Ambulance clinicians sometimes questioned the appropriateness of their pre-alert when ED clinicians did not explain the rationale for not giving the expected response (that is, being accepted into a high-priority area of the ED). Additional sources of frustration included technological problems and poor communication of estimated time of arrival and caller/responder identities.ConclusionsUse of a shared format, including a headline ‘cause for concern’, may improve the clarity, usefulness and civility of pre-alerts, particularly when the clinician’s concern is not obvious from observations. Basic training on how to undertake pre-alerts for both ED and ambulance clinicians may improve understanding of the importance of pre-alert communication.Trial registration numberISRCTN12652860.
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Supriya, Mishra. "Development of SMS Alert Module for Emergency Response Planing in QGIS." Development of SMS Alert Module for Emergency Response Planing in QGIS 9, no. 2 (2024): 5. https://doi.org/10.5281/zenodo.10649548.
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This study is based on the creation of a Python-based plugin as an SMS alert module for emergency response planning in QGIS. The project involves performing GIS analysis on vector layers and generating SMS alerts. For example, when disasters and emergencies such as natural disasters, accidents, medical crises, or security threats occur, there is a need for rapid dissemination of information. It can happen to anyone, anywhere, at any time. The purpose of the risk assessment phase of an emergency response plan is to explore potential emergency scenarios. Such a facility develops and implements an emergency plan for the safety of its personnel, guests, customers, and other visitors. When emergencies occur, the SMS Alerts plugin will provide an immediate and direct way to reach individuals in real-time. Emergency alerts can be received on almost all mobile phones in the nearby emergency area. For example, if a disaster occurs, we need to send an alert message to all hospitals in the area to alert them of the situation so that necessary action can be taken immediately. We need to send a warning message to a specific area. The user will get a warning message and all the information about all the events in the specific area where the buffer is created. The user gets all the information about the event, whether it is a positive or negative one. Keywords:- QGIS, SMS Alert, Plugin, GIS Analysis and Vector Data.
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Bharath Reddy, Sadda, Pulakandla Vivek Reddy, Kaveli Indra Reddy, Kalpure Devraj, Jajimogga Sravanthi, and Khristina Maksudovna Vafaeva. "Android accident detection and alert system." MATEC Web of Conferences 392 (2024): 01080. http://dx.doi.org/10.1051/matecconf/202439201080.
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Android smartphone app will automatically detect the accident that will be occurred. The app immediately retrieves the GPS location and activates an alarm screen. With one tap, the user can request emergency assistance. The app calls the local emergency number and sends SMS alerts to predefined contacts. The alerts provide accident details including location coordinates, number of passengers, and crash characteristics. Development challenges include accurately identifying crashes across varying conditions while minimizing false positives, integrating with onboard vehicle systems for additional data, addressing cybersecurity risks, optimizing for minimal battery usage, and easing privacy concerns over data collection. If technical obstacles can be overcome, such an automated crash detection and emergency alert app could help expedite emergency responses and improve road safety outcomes. Intended as an low-cost, scalable supplementary crash alert system, it has the potential to save lives worldwide.
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Sample, S., D. Quinlan, K. Willis, D. Casement, K. Lutz-Graul, and M. Welsford. "P036: Sensitivity and false negatives in the use of a prehospital sepsis alert." CJEM 22, S1 (2020): S77. http://dx.doi.org/10.1017/cem.2020.243.
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Introduction: Prehospital sepsis alerts assist paramedics in identifying patients with sepsis and in communicating this diagnosis to receiving facilities. Following the prospective implementation study of our regional systemic inflammatory response syndrome-based alert criteria (Alert), the purpose of this sub-study was to determine the cause of Alert false negatives (patients without an Alert that subsequently met sepsis criteria in the Emergency Department (ED)). Additionally, the sensitivity of the Alert for detecting sepsis was compared to the Quick Sequential Organ Failure Assessment (qSOFA) and Hamilton Early Warning Score (HEWS). Methods: This study was an additional analysis of the prospective Alert implementation study. Included patients were ≥ 18 years old, transported by a regional Emergency Medical Service and met severe sepsis or septic shock criteria (SS/SS, 2012 Surviving Sepsis Guidelines) in regional EDs in 2013. False negative patients were identified prospectively and reviewed by comparing paramedic determined Alert status to the retrospective application of the Alert criteria to Paramedic Call Report (PCR) data. The Alert sensitivity was first calculated from prospective data, then retrospective sensitivities of the Alert, qSOFA and HEWS were calculated by retrospectively applying these tools to PCRs, using ED diagnosis of SS/SS as reference standard. Results: In 2013, 229 patients met SS/SS criteria in the ED and had PCRs available; 115 (50.2%) were male and median age [interquartile range] was 76.0 [63.0-84.0]. Of 229, 149 (65.0%) arrived in the ED without an Alert (false negatives) and 46 (30.9%) of these met Alert criteria retrospectively and were therefore missed by paramedics. Sensitivity of the Alert was 34.9% when applied by paramedics and 41.5% when applied retrospectively to PCRs. The retrospective sensitivities of the qSOFA and HEWS were 37.6% and 67.7%, respectively. Conclusion: In ED patients diagnosed with SS/SS who arrived with no Alert, the majority (69.1%) were missed by the Alert criteria, rather than by paramedic application of the tool. The Alert had a sensitivity of 34.9%. When applied retrospectively and compared to the Alert, qSOFA had similar sensitivity and HEWS had increased sensitivity. Future research should focus on deriving improved alerts or implementing those with higher accuracy, such as HEWS.
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Sampson, Fiona C., Fiona Bell, Peter Webster, et al. "PP26 Exploring the use of pre-hospital pre-alerts and their impact on patients, ambulance service and emergency department staff: protocol for a mixed methods study." Emergency Medicine Journal 39, no. 9 (2022): e5.19. http://dx.doi.org/10.1136/emermed-2022-999.26.
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BackgroundAmbulance clinicians use pre-alert calls to inform receiving emergency departments (EDs) of the arrival of a critically unwell patient that will require a specialised response. Little is known about how a decision to pre-alert is made and how this is communicated and acted upon in the receiving ED. Whilst appropriate use of pre-alerts benefits patient care, their overuse carries a risk of harm or opportunity costs. The impact of pre-alerts on ambulance clinicians, ED staff and patients is not currently well understood.MethodsWe are conducting a mixed methods study with five inter-related work packages. We will analyse 12 months of routine data from ambulance pre-alerts in three regions to identify factors in the variation of pre-alert use, including pre-hospital decision-making. We will undertake a national online Qualtrics survey of ambulance clinician perspectives and experience of pre-alerts. We will explore the impacts of a pre-alert on staff, ED facilities and the patient using semi-structured interviews with ambulance clinicians, ED staff, patients and carers and undertake non-participant observation of ED pre-alert response.Expected ResultsWe will describe current pre-alert practice using 12 months’ data for 3 Ambulance Services, including volume and types of pre-alerts. We will identify specific conditions or patient groups for whom pre-alerts are most likely to lead to change in clinical practice, or for whom action is unlikely to provide benefit. We will hold a feedback workshop in which we will share and discuss our findings with key stakeholders.ConclusionsCurrent variation in pre-alert processes, both pre-hospital and in-hospital and the impact on patient care is not understood. The outputs of this study will establish an evidence base to update national guidance for pre-alert practice and identify areas of good pre-alert practice for both ambulance service and Emergency Department staff.
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Lidestam, Björn, Philip Lindblad, Petr Ondomiši, Emilia Sörengård, and Kajsa Weibull. "Augmented emergency lighting as a soft early warning: measures on road users when moving over." Acta Polytechnica CTU Proceedings 51 (December 17, 2024): 36–41. https://doi.org/10.14311/app.2024.51.0036.
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A novel interface to provide robust, intuitive, and timely alerts to road users to move over for emergency vehicles (EVs) was tested in a seven-minute driving-simulator experiment. The interface, Augmented Emergency Lighting (AEL), mimics emergency lighting on emergency vehicles (i.e., flashing blue light), by using the cars’ interior lighting. AEL was initiated 30 seconds before an EV caught up and increased its brightness proportionally to the distance to the EV. The AEL alert was after 16 seconds accompanied by an Emergency Vehicle Approaching (EVA) alert, presented as a voice command and a text message on the dashboard. Comparisons were made between AEL+EVA alerts, EVA-only alerts, and no alerts, between groups (N = 61). Both AEL+EVA alerts and AEL-only alerts were highly successful in getting drivers to move over by slowing down and pulling off to the side as compared to when there were no alerts, but no significant difference between AEL+EVA and EVA-only was found. Questionnaire responses showed that AEL+EVA alerts were generally appreciated and that their timing was good. Further studies on learning effects and usability are discussed.
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Song, Jin-Hyuk, Myung-Sun Baek, Byungjun Bae, and Hyoung-Kyu Song. "A Deep Learning-Based Emergency Alert Wake-Up Signal Detection Method for the UHD Broadcasting System." Sensors 24, no. 13 (2024): 4162. http://dx.doi.org/10.3390/s24134162.
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With the increasing frequency and severity of disasters and accidents, there is a growing need for efficient emergency alert systems. The ultra-high definition (UHD) broadcasting service based on Advanced Television Systems Committee (ATSC) 3.0, a leading terrestrial digital broadcasting system, offers such capabilities, including a wake-up function for minimizing damage through early alerts. In case of a disaster situation, the emergency alert wake-up signal is transmitted, allowing UHD TVs to be activated, enabling individuals to receive emergency alerts and access emergency broadcasting content. However, conventional methods for detecting the bootstrap signal, essential for this function, typically require an ATSC 3.0 demodulator. In this paper, we propose a novel deep learning-based method capable of detecting an emergency wake-up signal without the need for an ATSC 3.0. The proposed method leverages deep learning techniques, specifically a deep neural network (DNN) structure for bootstrap detection and a convolutional neural network (CNN) structure for wake-up signal demodulation and to detect the bootstrap and 2 bit emergency alert wake-up signal. Specifically, our method eliminates the need for Fast Fourier Transform (FFT), frequency synchronization, and interleaving processes typically required by a demodulator. By applying a deep learning in the time domain, we simplify the detection process, allowing for the detection of an emergency alert signal without the full suite of demodulator components required for ATSC 3.0. Furthermore, we have verified the performance of the deep learning-based method using ATSC 3.0-based RF signals and a commercial Software-Defined Radio (SDR) platform in a real environment.
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Maksudovna Vafaeva, Khristina, Digvijay Singh, Ramesh Banoth, Rishabh Arora, and Sapna Sharma. "The Synergy of Emergency Alerts and social media: An Evaluation with the Emergency Alert and Social Media Engagement Test." BIO Web of Conferences 86 (2024): 01074. http://dx.doi.org/10.1051/bioconf/20248601074.
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Using the innovative Emergency Alert and Social Media Engagement Test (EASE Test), this study examines how the dynamics of emergency communication are changing and how conventional emergency alerts and social media engagement may work together. The results of the data analysis show that participants' alarm reaction efficacy varied, depending on things like alert clarity and personal readiness. The research highlights the potential of social media platforms as dynamic centers for information exchange by revealing varying degrees of involvement under simulated emergency circumstances. Furthermore, it is shown that social media participation is positively correlated with alert reactions that are more successful, highlighting the function of social media in improving response preparedness. Qualitative information obtained from participant interviews clarifies the potential and challenges in this interaction. In light of the potential for improved public safety, situational awareness, and catastrophe resilience in the digital age, this study supports an integrated strategy.
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Harris, Curt, James Zerylnick, Kelli McCarthy, Curtis Fease, and Morgan Taylor. "Breaking the Code: Considerations for Effectively Disseminating Mass Notifications in Healthcare Settings." International Journal of Environmental Research and Public Health 19, no. 18 (2022): 11802. http://dx.doi.org/10.3390/ijerph191811802.
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Many healthcare facilities use code-based alert systems to notify staff of ongoing emergencies via public announcement systems. This study sought to assess the ability of clinical and non-clinical employees across the State of Georgia to correctly identify their facility’s emergency codes, assess employee’s opinions of emergency alert systems, and identify significant predictors of emergency code identification accuracy. Anonymous electronic surveys asked 304 employees at five facilities to identify the codes for 14 different emergencies. Participants correctly identified the emergency codes with 44.37% accuracy on average. The codes for fire, infant abduction, and cardiac arrest were most commonly identified correctly. Code identification accuracy was significantly associated with training at orientation, knowledge of emergency code activation procedures, facility experience, and the total number of facilities in an employee’s career. Most survey participants favored a code-based alert system over a plain language-based alert system, citing concerns of causing panic in patients and visitors, and of maintaining confidentiality and discretion. The low code identification accuracy suggests healthcare employees may have limited awareness of ongoing emergencies. Transitioning to plain language overhead emergency alerts will better position employees, as well as patients and visitors, to effectively respond to emergencies and disasters occurring within a healthcare facility.
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Kennedy, William, Daniel Andruchow, Shawn Dowling, Kevin Lonergan, Tom Rich, and Catherine Patocka. "Mixed methods analysis of an automated email audit and feedback intervention for fostering (emergency) physician reflection." Canadian Journal of Emergency Nursing 43, no. 2 (2020): 14–15. http://dx.doi.org/10.29173/cjen49.
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Background
 physician refelection requires personalized, timely and growth-oriented feedback. Iterative learning from multiple low-pressure events can be personalized to target areas of weakness and show sequential growth. Since emergency physicians typically work individually to deliver episodic care, opportunities for them to obtain iterative feedback on their clinical performace is often limited. Our study sought to evaluate whether physician reflection is facilitated through the 72hr re-admission alert received by emergency physicians in the Calgary zone.
 Implementation
 The 72-hr readmission alert is already part of feedback received in the Calgary Zone. Our study was specifically looking at understanding the utility of these alerts to emergency physicians through qualitative interviews. Our team of two interviewers (DA and CP) collected and banked the data through anonymized one-on-one interviews. Themes from these interviews will be used to guide future adjustments made to the alert and dictate it’s future role in emergency physician feedback. Current changes based on preliminary data have included the ability to customize re-admission alert time-frames based on personal preference. We are currently in the process of analyzing the themes that will shape further improvements made to the alert.
 Evaluation Methods 
 This mixed methods realist evaluation consisted of two sequential phases: an initial quantitative phase examining the general features of 72-hr readmission alerts sent over a 1-year period (4024 alerts from May 2017-2018) and a subsequent qualitative phase involving 17 semi-structured interviews to generate “context-mechanism-outcome” (CMO) statements to guide refinement of our program theory.
 Results 
 CMO statements revealed emergency physician stakeholders were concerned that the alert impacted personnel decisions, changed patient return expectations and didn’t involve consulting services. Physicians, who didn’t believe alerts were involved in personnel decisions, were more likely to pursue balanced reflection/acquisition after each alert when receiving illness related returns. Conversely, physicians, who believed alerts were involved in performance assessment/hiring decisions, were more likely to defensively change their practice. Commonly cited areas of improvement were the ability to personally adjust time criteria for alerts and involving consulting services in feedback.
 Advice and Lessons Learned 
 
 It is essential to partner with local departments who can use formal (newsletters) and informal (word of mouth) avenues to encourage participation in the study. Participant anonymity must be emphasized when recruiting for qualitative interviews in order to receive the full scope of perspectives.
 Clear and concise scripts highlighting the objective of each question can ensure the quality of responses received and help interviewers probe further into the topic when necessary.
 When performing quality improvement studies on formal feedback mechanisms, faculty leadership buy-in is essential in order to ensure a safe environment for all participants.
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Jones, Nicholas W., Sophia L. Song, Nicole Thomasian, Elizabeth A. Samuels, and Megan L. Ranney. "Behavioral Health Decision Support Systems and User Interface Design in the Emergency Department." Applied Clinical Informatics 14, no. 04 (2023): 705–13. http://dx.doi.org/10.1055/s-0043-1771395.
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Abstract Objective The objective of this qualitative study is to gauge physician sentiment about an emergency department (ED) clinical decision support (CDS) system implemented in multiple adult EDs within a university hospital system. This CDS system focuses on predicting patients' likelihood of ED recidivism and/or adverse opioid-related events. Methods The study was conducted among adult emergency physicians working in three EDs of a single academic health system in Rhode Island. Qualitative, semistructured interviews were conducted with ED physicians. Interviews assessed physicians' prior experience with predictive analytics, thoughts on the alert's placement, design, and content, the alert's overall impact, and potential areas for improvement. Responses were aggregated and common themes identified. Results Twenty-three interviews were conducted (11 preimplementation and 12 postimplementation). Themes were identified regarding each physician familiarity with predictive analytics, alert rollout, alert appearance and content, and on alert sentiments. Most physicians viewed these alerts as a neutral or positive EHR addition, with responses ranging from neutral to positive. The alert placement was noted to be largely intuitive and nonintrusive. The design of the alert was generally viewed positively. The alert's content was believed to be accurate, although the decision to respond to the alert's call-to-action was physician dependent. Those who tended to ignore the alert did so for a few reasons, including already knowing the information the alert contains, the alert offering information that is not relevant to this particular patient, and the alert not containing enough information to be useful. Conclusion Ultimately, this alert appears to have a marginally positive effect on ED physician workflow. At its most beneficial, the alert reminded physicians to deeply consider the care provided to high-risk populations and to potentially adjust their care and referrals. At its least beneficial, the alert did not affect physician decision-making but was not intrusive to the point of negatively impacting workflow.
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Boyd, Aimée, Fiona C. Sampson, Fiona Bell, et al. "How consistent are pre-alert guidelines? A review of UK ambulance service guidelines." British Paramedic Journal 8, no. 4 (2024): 30–37. http://dx.doi.org/10.29045/14784726.2024.3.8.4.30.
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Aims: Ambulance pre-alerts are used to inform receiving emergency departments (EDs) of the arrival of critically unwell or rapidly deteriorating patients who need time-critical assessment or treatment immediately upon arrival. Inappropriate use of pre-alerts can lead to EDs diverting resources from other critically ill patients. However, there is limited guidance about how pre-alerts should be undertaken, delivered or communicated. We aimed to map existing pre-alert guidance from UK NHS ambulance services to explore consistency and accessibility of existing guidance.Methods: We contacted all UK ambulance services to request documentation containing guidance about pre-alerts. We reviewed and mapped all guidance to understand which conditions were recommended for a pre-alert and alignment with Association of Ambulance Chief Executives (AACE) and Royal College of Emergency Medicine (RCEM) pre-alert guidance. We reviewed the language and accessibility of guidance using the AGREE II tool.Results: We received responses from 15/19 UK ambulance services and 10 stated that they had specific pre-alert guidance. We identified noticeable variations in conditions declared suitable for pre-alerts in each service, with a lack of consistency within each ambulance service’s own guidance, and a lack of alignment with the AACE/RCEM pre-alert guidance. Services listed between four and 45 different conditions suitable for pre-alert. There were differences in physiological thresholds and terminology, even for conditions with established care pathways (e.g. hyperacute stroke, ST segment elevation myocardial infarction). Pre-alert criteria were typically listed in several short sections in lengthy handover procedure policy documents. Documents appraised were of poor quality with low scores below 35% for applicability and overall.Implications: There is a clear need for ambulance services to have both policies and tools that complement each other and incorporate the same list of pre-alertable conditions. Clinicians need a single, easily accessible document to refer to in a time-critical situation to reduce the risk of making an incorrect pre-alert decision.
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Kennedy, W., D. Andruchow, S. Dowling, K. Lonergan, T. Rich, and C. Patocka. "MP23: Mixed methods analysis of an automated e-mail audit and feedback intervention for fostering emergency physician reflection." CJEM 22, S1 (2020): S50. http://dx.doi.org/10.1017/cem.2020.171.
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Innovation Concept: Emergency physicians (EP) rarely receive timely, iterative feedback on clinical performance that aids their reflective practice. The Calgary zone ED recently implemented a novel email-based alert system wherein an EP is notified when a patient whose ED care they were involved in is admitted to hospital within 72-hours of discharge from an index ED visit. Our study sought to evaluate the general acceptability of this form of audit and feedback and determine whether it encourages practice reflection. Methods: This mixed methods realist evaluation consisted of two sequential phases. An initial quantitative phase used data from our electronic health record and a survey to examine the general features and acceptability of 72-hour readmission alerts sent from May 2017-2018. A subsequent qualitative phase involved semi-structured interviews exploring the alert's role in greater depth. Quantitative data were summarized using descriptive statistics and qualitative data were analyzed using thematic and template analysis techniques. Results of both phases were used to guide construction of context-mechanism-outcome statements to refine our program theory. Curriculum, Tool, or Material: 4024 alerts were sent over a 1-year period, with each physician receiving approximately 17 alerts per year (Q1: 7, Q3: 25, IQR: 18). The top five CEDIS complaints on index presentations were abdominal pain, flank pain, shortness of breath, vomiting and/or nausea, and chest pain (cardiac features). The majority of re-admissions (78.6%) occurred within 48 hours after discharge. Immediate alert survey feedback provided by EP's noted that 52.65% (N = 471) of alerts were helpful. Thematic analysis of 17 semi-structured interviews suggests that the alert was generally acceptable to physicians, However, certain EPs were concerned that the alert impacted hire/fire decisions even when leadership didn't endorse this sentiment. Physicians who didn't believe alerts were involved in hire/fire decisions, described greater engagement in the reflective process. Conversely, physicians, who believed alerts were involved in hire/fire decisions, were more likely to defensively change their practice. Conclusion: Most EPs noted that timely notification of 72-hour readmissions made them more mindful of documenting discharge instructions. Our implementation of a 72- hour readmission alert was an acceptable format for audit and feedback and appeared to facilitate physician reflection under certain conditions.
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Ling, Rich, and Brett Oppegaard. "THIS IS NOT A DRILL: Mobile Telephony, Information Verification, and Expressive Communication During Hawaii’s False Missile Alert." Social Media + Society 7, no. 1 (2021): 205630512199966. http://dx.doi.org/10.1177/2056305121999661.
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On Saturday, 13 January 2018, residents of Hawaii received a chilling message through their smartphones. It read, in all caps, BALLISTIC MISSILE THREAT INBOUND TO HAWAII. SEEK IMMEDIATE SHELTER. THIS IS NOT A DRILL. The message was mistakenly sent, but many residents lived in a threatened state of mind for the 38 minutes it took before a retraction was made. This study is based on a survey of 418 people who experienced the alert, recollecting their immediate responses, including how they attempted to verify the alert and how they used their mobile devices and social media for expressive interactions during the alert period. With the ongoing testing in the United States of nationwide Wireless Emergency Alerts, along with similar expansions of these systems in other countries, the event in Hawaii serves to illuminate how people understand and respond to mobile-based alerts. It shows the extreme speed that information—including misinformation—can flow in an emergency, and, for many, expressive communication affects people’s reactions.
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Le Duc, Todd J., William E. Goellner, and Nabil E. Sanadi. "45. The Impact of an Alert Tone on On-Scene Time in Trauma Patients." Prehospital and Disaster Medicine 11, S2 (1996): S42. http://dx.doi.org/10.1017/s1049023x00045908.
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Objective: Determine whether radio alerts to paramedics after 7 minutes of on-scene time reduces total on-scene time for trauma patients.Methods: Paramedics radio base once they determine ACS criteria were met. Paramedics were informed by radio when 7 minutes lapsed on-scene. Dispatch times were recorded.Results: The control group (Nov. 1-30, 1995) of 135 consecutive patients were reviewed without a radio alert. The test group (Dec. 1-31, 1995) of 103 consecutive patients, with a radio alert message 7 minutes after scene arrival were also reviewed. Groups were matched for extrication times, blunt versus penetrating trauma, age, etc. We analyzed both groups for the interval of time from announcement of “trauma alert,” (when paramedics determined the patient met ACS criteria or from the time extrication was complete (if applicable) to the time en route to the hospital. Average on-scene time for the control group was 13.7 minutes [range 4-35] versus test group 9.3 minutes [range 2-26] (p <0.001).
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D, Basavesh. "Advance Emergency and Traffic Management System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33433.
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Urban Alert is an innovative Android application that addresses urban emergencies, traffic management, and safety concerns. The system has a strong accident or emergency feature that allows users to quickly capture and upload incident details with location information. The traffic management component uses advanced algorithms such as YOLO and CNN to monitor and analyze real- time traffic conditions through IoT-enabled cameras. The application optimizes ambulance routes for zero traffic, minimizing response times during emergencies. Furthermore, safety options allow users to send alerts to relevant departments based on their specific needs. This paper examines the technical implementation, results, and evaluation of each feature, demonstrating how they can impact urban safety and response efficiency. Urban Alert is a comprehensive solution that enhances emergency response, traffic management, and public safety in urban areas. Keywords – Emergency Response, Traffic Management, IoT and AI Integration, Ambulance Routing, Safety Options, Real-time Incident Monitoring.
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. Sudha R, Mrs. "GSM-Based Alcohol Detection and Accident Alert System Includes Call and Message Alert with Level Identification." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49834.
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ABSTRACT As technology advances, addressing road safety issues remains a growing concern. Drunk driving continues to be a leading cause of traffic accidents. Our project introduces a GSM-based alcohol detection and accident alert system that detects alcohol consumption in drivers, identifies the level of alcohol intake, and sends automated call and message alerts to emergency contacts. The system also includes an accident detection module that triggers alerts in the event of a crash. This enhances real-time monitoring and emergency responsiveness. The system uses sensors to detect alcohol levels in the driver's breath and identify if they exceed the legal limit. A GSM module facilitates instant communication by calling and messaging stored emergency numbers. An accelerometer detects accident events and ensures timely alerts. The proposed system offers a low-cost, scalable solution for improving road safety and reducing accident fatalities. Its integration with vehicles enhances safety, especially in rural and urban transit systems.
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V. Veera Anusuy, B. Jasmith, P. Sugasini, and M. Jeeva Dharshini. "An IoT Based Accident Detection and Rescue System." International Research Journal on Advanced Engineering and Management (IRJAEM) 1, no. 01 (2023): 01–12. http://dx.doi.org/10.47392/irjaem.2023.001.
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The main factor causing car accidents is speed. Many lives could have been saved if emergency services had been able to gather information about the tragedy and reach in time. The main project's objective is to develop an accident detection system that makes use of several different parts to alert the rescue crew about an accident. An efficient automated collision detection system that instantly alerts emergency services to the accident site is crucial for protecting valuable human life. The recommended approach deals with accident detection and notification. After reading it, it sends the affected vehicle's exact latitude and longitude to the nearest emergency response provider. The project's goal is to locate incidents and alert the rescue team as soon as possible.
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Lonergan, K., E. S. Lang, S. Dowling, D. Wang, and T. Rich. "P096: Real-time 72 hour readmission alert." CJEM 20, S1 (2018): S90—S91. http://dx.doi.org/10.1017/cem.2018.294.
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Introduction: Hospital admission within 72 hours of emergency discharge is a widely accepted measure of emergency department quality of care. Patients returning for unplanned admission may reveal opportunities for improved emergency or followup care. Calgary emergency physicians, however, are rarely notified of these readmissions. Aggregate site measures provide a high level view of readmissions for managers, but dont allow for timely, individual reflection on practice and learning opportunities. These aggregations may also not correctly account for variation in planned readmissions and other workflow nuances. There was a process in place at one facility to compile and communicate readmission details to each physician, but it was manual, provided limited visit detail, and was done weeks or months following discharge. Methods: A new, realtime 72 hour readmission notification recently implemented within the Calgary Zone provides direct and automated email alerts to all emergency physicians and residents involved in the care of a patient that has been readmitted. This alert is sent within hours of a readmission occurring and contains meaningful visit detail (discharge diagnosis, readmit diagnosis, patient name, etc) to help support practice reflection. An average of 15 alerts per day are generated and have been sent since implementation in April, 2017. Although an old technology, the use of email is a central component of the solution because it allows physicians to receive notifications at home and outside the hospital network where they routinely perform administrative tasks. A secondary notification is sent to personal email accounts (Gmail, Hotmail, etc) to indicate an unplanned admission has occurred, but without visit detail or identifiable information. It also allowed implementation with no new hardware or software cost. Results: A simple thumbs up/down rating system is used to adjust the sensitivity of the alert over time. More than 66% of those providing feedback have indicated the alert is helpful for practice reflection (i.e., thumbs up). And of those that indicated it was not helpful, comments were often entered indicating satisfaction with the alert generally, or suggestions for improvement. For example, consulted admitting physicians are often responsible for discharge decisions and should be added as recipients of the alert. Conclusion: Many physicians have indicated appreciation in knowing about return patients, and that they will reflect on their care, further review the chart, or contact the admitting physician for further discussion. Most are accepting of some ‘expected’ or ‘false positive’ alerts that aren’t helpful for practice reflection. Further tuning and expansion of the alert to specialist and consult services is needed to ensure all physicians involved in a discharge decision are adequately notified.
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Sumathy, B., L. Sundari, S. Janani Priyadharshini, and G. Jayavarshini. "Vehicle Accident Emergency Alert System." IOP Conference Series: Materials Science and Engineering 1012 (January 8, 2021): 012042. http://dx.doi.org/10.1088/1757-899x/1012/1/012042.
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Sumathy, B., L. Sundari, S. Janani Priyadharshini, and G. Jayavarshini. "Vehicle Accident Emergency Alert System." IOP Conference Series: Materials Science and Engineering 1012 (January 8, 2021): 012042. http://dx.doi.org/10.1088/1757-899x/1012/1/012042.
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Lipley, Nick. "UK emergency services on alert." Emergency Nurse 9, no. 6 (2001): 3. http://dx.doi.org/10.7748/en.9.6.3.s2.
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Jeon, Inchan, Mihwa Song, Sekchin Chang, Seong Jong Choi, and Yong-Tae Lee. "A signaling emergency alert system multiplexed with T-DMB channel for emergency alert service." IEEE Transactions on Consumer Electronics 61, no. 1 (2015): 16–23. http://dx.doi.org/10.1109/tce.2015.7064106.
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Zeeshan B,, Mohammed, Nandish C S,, Nayana B A,, and Nikhil Das D R,. "Collision Mitigation and Lighting Control System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43642.
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Collision mitigation system utilizes ultrasonic sensors to detect obstacles and warn the driver through an alert mechanism. Vibration and alcohol sensors assess driver impairment, triggering necessary safety measures, such as reducing vehicle speed or activating emergency alerts. The lighting control system dynamically adjusts headlights based on environmental conditions, ensuring optimal visibility. A GSM module facilitates emergency communication by sending notifications during critical situations. This project presents a Collision Mitigation and Lighting Control System, leveraging Arduino Uno ultrasonic sensors, vibration sensors, alcohol sensors, eye-blink sensors, buzzers, GSM modules, and Arduino-based programming. The system is designed to detect potential collisions, monitor driver alertness, and adjust vehicle lighting conditions accordingly. Keywords: Arduino IDE program software, Development board Arduino Uno, Communication devices, Sensors, Real-Time Data Processing, Embedded System, IoT-based monitoring, Emergency Alert System, Remote monitoring.
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Saiyed, Salim M., Peter J. Greco, Glenn Fernandes, and David C. Kaelber. "Optimizing drug-dose alerts using commercial software throughout an integrated health care system." Journal of the American Medical Informatics Association 24, no. 6 (2017): 1149–54. http://dx.doi.org/10.1093/jamia/ocx031.
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Abstract All default electronic health record and drug reference database vendor drug-dose alerting recommendations (single dose, daily dose, dose frequency, and dose duration) were silently turned on in inpatient, outpatient, and emergency department areas for pediatric-only and nonpediatric-only populations. Drug-dose alerts were evaluated during a 3-month period. Drug-dose alerts fired on 12% of orders (104 098/834 911). System-level and drug-specific strategies to decrease drug-dose alerts were analyzed. System-level strategies included: (1) turning off all minimum drug-dosing alerts, (2) turning off all incomplete information drug-dosing alerts, (3) increasing the maximum single-dose drug-dose alert threshold to 125%, (4) increasing the daily dose maximum drug-dose alert threshold to 125%, and (5) increasing the dose frequency drug-dose alert threshold to more than 2 doses per day above initial threshold. Drug-specific strategies included changing drug-specific maximum single and maximum daily drug-dose alerting parameters for the top 22 drug categories by alert frequency. System-level approaches decreased alerting to 5% (46 988/834 911) and drug-specific approaches decreased alerts to 3% (25 455/834 911). Drug-dose alerts varied between care settings and patient populations.
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OSTROWSKA, RENATA. "UNIFORMED SERVICES AND EMERGENCY CALL SYSTEM COOPERATION." PRZEGLĄD POLICYJNY 142, no. 2 (2021): 278–87. http://dx.doi.org/10.5604/01.3001.0015.2511.
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The study contains the most important information regarding the functioning of uniformed services in the emergency alert system. The matter of the utmost importance is to provide operation and cooperation of the Police and State Fire Brigade with emergency alert system centres. Smooth coordination in terms of sending emergency services units, emergency aid units and extensive cooperation with uniformed services in case of major disasters, are the advantages of the 112 alert system implemented by Poland.
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Cohen, Merrill A., and Ronald S. Benenson. "Aneurysm alert." Annals of Emergency Medicine 19, no. 7 (1990): 842–43. http://dx.doi.org/10.1016/s0196-0644(05)81726-3.
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Stowe, Megan. "Patient alert scheme." Emergency Nurse 18, no. 3 (2010): 9. http://dx.doi.org/10.7748/en.18.3.9.s10.
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Sanghavi, Prof Ankit. "Women Safety System Using ARM Micro controller and Arduino." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32880.
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This abstract presents a comprehensive women's safety device leveraging modern technology for effective emergency response. The device integrates various components including the Neo6M GPS module, module, Arduino Nano microcontroller, push button for emergency alert, , pulse oximeter MAX30100, and temperature sensor LM35. The Arduino Nano serves as the central processing unit, orchestrating data collection, processing, and transmission.Incorporating a Python Flask WebApp and ThingSpeak platform, the device ensures real-time alerts and cloud storage capabilities. The Flask WebApp facilitates user interaction and customization, enabling users to set preferences and receive notifications. ThingSpeak enables seamless data logging and retrieval from the cloud, ensuring data integrity and accessibility.Upon activation, the device initiates location tracking via the GPS module and triggers an emergency alert through the module. Simultaneously, vital signs such as pulse rate and temperature are monitored using the MAX30100 pulse oximeter and LM35 temperature sensor respectively. These data are transmitted to the Flask WebApp and ThingSpeak platform for real-time monitoring and alert generation.This innovative solution aims to provide women with a reliable, multifunctional safety device capable of prompt emergency response and continuous monitoring, ultimately enhancing their safety and well-being in various settings. Key Words: Safety system, ARM micro-controller, Arduino, GPS, Alerting, Web-Application.
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Tafoya-Rivera, Evelyn V., Ocotlán Díaz-Parra, Marco Antonio Márquez-Vera, et al. "Real-Time Coordination and Communication Process for the Issuance of Emergency Ambulance Alerts." International Journal of Combinatorial Optimization Problems and Informatics 15, no. 4 (2024): 101–17. http://dx.doi.org/10.61467/2007.1558.2024.v15i4.535.
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The lack of attention to emergency alerts in road accidents in a timely manner may be due to the lack of management of resources or the lack of communication between hospital and patrol departments. The purpose of this research is to reduce the management time to provide attention to requests on highways. An alert and resource management process is proposed. This process will allow sending the optimized information in the shortest possible time. The experimentation was worked with a set of test instances and simulated in the laboratory using mechatronic devices to show the communication, coordination and attention in real time. The results obtained were acceptable, it was possible to identify the alert to be included in the algorithm which must comply with the restrictions and subsequently calculate the optimal route to be followed by the mechatronic device to reach the request node for the attention of the distress alert.
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Chotimah, Dian Indah Nurul, Anindi Lupita Nasyanka, and Janatun Na’imah. "Compliance Level of High Alert Drug Labelling with Standard Operating Procedures of Pharmacy Installation of Emergency Department at Hospital X Gresik." PHARMADEMICA : Jurnal Kefarmasian dan Gizi 2, no. 1 (2022): 42–47. http://dx.doi.org/10.54445/pharmademica.v2i1.28.
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High Alert drugs are drugs that must be watched out for causing unwanted effects if an error occurs in drug administration. In addition, it can also cause complications and side effects from the drug itself which can endanger patient safety. This study aims to determine the compliance level of high alert drug labelling. It used observational research with descriptive data analysis. The population was high alert drug storage of Pharmacy Installation of Emergency Department at Hospital X Gresik and the sample was labelling of all high alert drugs of Pharmacy Installation of Emergency Department at Hospital X Gresik. This study was conducted in April 2021. The results show that the average percentage of high alert drug labelling compliance of Pharmacy Installation of Emergency Department at Hospital X Gresik in April 2021 is 79.77%, "GOOD", which is not in accordance with the quality indicator standard of high alert drug labelling of Pharmacy Installation of Emergency Department of 100%.
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Tiwari, Aditya Kumar. "A comprehensive Study on Smart Noise Alert & Detection System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47029.
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Abstract—This research paper addresses about Smart Noise Alert & Detection System, Increasing noise pollution and emergency alerts are fast becoming a critical public safety and life quality issue amid the rapid growth of urbanization. This paper highlights the design and deployment of a Smart Noise & Alert Detection System built on Arduino technology. Our system uses Arduino boards and sound sensors that alert upon the identification of abnormal sound. The system monitors environmental noise levels, distinguishing between normal levels of background noise and abnormal noises that are dangerous (for example, explosions, sirens, etc.) or abnormal concerning human distress signals (for example, people shouting). Once the noise level or alert levels have been violated, the system immediately alerts the user through warning lights (using LEDs) and communicates the alerts using GSM modules/SMS to ensure an immediate response. Careful consideration was paid in the design to have the system be low-cost, scalable, and adaptable to ease up usage. Hence this concept could be applied in urban or rural areas and adapted for deployment into several buildings (for instance hospitals, factories, and homes) as well as public outdoor spaces. During field tests, the alert signals capturing noise anomalies were found to operate effectively. Our work contributes to the domain of smart noise and alert systems, whereby intelligent IoT-based safety systems are evolving from the increasingly accepted concept of smart cities.
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Prickett, MS, Kristopher J., and Kay Williams-Prickett, PhD, RN. "Plain language emergency alert codes: The importance of direct impact statements in hospital emergency alerts." Journal of Emergency Management 16, no. 2 (2018): 73. http://dx.doi.org/10.5055/jem.2018.0356.
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The nature of an emergency is not predictable, and no two emergencies are alike. In response to this unpredictable nature, healthcare facilities across the nation have adopted a system of emergency codes to notify staff of an emergent situation, often without alerting patients and visitors to the crises. However, the system of emergency codes varies significantly within most states and even within healthcare coalition regions. This variation in codes leads to not only the potential for staff confusion, considering many healthcare providers work within multiple healthcare centers, but also decreases the amount of transparency a healthcare center projects to its patients and visitors. The research conducted as part of this study indicated that an overwhelming majority of healthcare professionals would prefer voluntary plain language emergency code standardization to the current individual code systems.
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Pande, Vaishalee, Shruti Jadhav, Sanket Patil, and Rohit Nikam. "Drive Sentinel: A System that Watches Over and Protects Drivers." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42522.
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With the rapid increase in automobile usage, road accidents have also risen, highlighting the need for an effective accident prevention and detection system. This system detects driver drowsiness and yawning using facial analysis and alerts the user to prevent accidents. Additionally, a microcontroller continuously monitors vehicle parameters. The system doesn’t solely record the vehicle parameters data of the automobile periodically, but also actively monitors for any sudden vehicle accident detection. This system aims to alert the nearby medical center about the accident to provide immediate medical aid. The attached accelerometer in the vehicle senses the tilt of the vehicle to understand the seriousness of the accident. Upon detection, it sends real-time alerts via GSM and GPS to emergency contacts and the nearest medical center. Key Words: Raspberry Pi, Drowsiness alert, Accident Detection alert, GPS, GSM, Accelerometer
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Zellner, Katherine A., Aleksandra Sarcevic, Megan A. Krensta, Travis M. Sullivan, and Randall S. Burd. "Understanding Delay Awareness and Mitigation Mechanisms through an Iterative Design and Evaluation of a Prototype Alert System for Complex Teamwork." Proceedings of the ACM on Human-Computer Interaction 7, CSCW2 (2023): 1–30. http://dx.doi.org/10.1145/3610051.
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Almost half of the preventable deaths in emergency care can be associated with a medical delay. Understanding how clinicians experience delays can lead to improved alert designs to increase delay awareness and mitigation. In this paper, we present the findings from an iterative user-centered design process involving 48 clinicians to develop a prototype alert system for supporting delay awareness in complex medical teamwork such as trauma resuscitation. We used semi-structured interviews and card-sorting workshops to identify the most common delays and elicit design requirements for the prototype alert system. We then conducted a survey to refine the alert designs, followed by near-live, video-guided simulations to investigate clinicians' reactions to the alerts. We contribute to CSCW by designing a prototype alert system to support delay awareness in time-critical, complex teamwork and identifying four mechanisms through which teams mitigate delays.
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Austrian, Jonathan S., Catherine T. Jamin, Glenn R. Doty, and Saul Blecker. "Impact of an emergency department electronic sepsis surveillance system on patient mortality and length of stay." Journal of the American Medical Informatics Association 25, no. 5 (2017): 523–29. http://dx.doi.org/10.1093/jamia/ocx072.
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Abstract Objective The purpose of this study was to determine whether an electronic health record–based sepsis alert system could improve quality of care and clinical outcomes for patients with sepsis. Materials and Methods We performed a patient-level interrupted time series study of emergency department patients with severe sepsis or septic shock between January 2013 and April 2015. The intervention, introduced in February 2014, was a system of interruptive sepsis alerts triggered by abnormal vital signs or laboratory results. Primary outcomes were length of stay (LOS) and in-hospital mortality; other outcomes included time to first lactate and blood cultures prior to antibiotics. We also assessed sensitivity, positive predictive value (PPV), and clinician response to the alerts. Results Mean LOS for patients with sepsis decreased from 10.1 to 8.6 days (P &lt; .001) following alert introduction. In adjusted time series analysis, the intervention was associated with a decreased LOS of 16% (95% CI, 5%-25%; P = .007, with significance of α = 0.006) and no change thereafter (0%; 95% CI, −2%, 2%). The sepsis alert system had no effect on mortality or other clinical or process measures. The intervention had a sensitivity of 80.4% and a PPV of 14.6%. Discussion Alerting based on simple laboratory and vital sign criteria was insufficient to improve sepsis outcomes. Alert fatigue due to the low PPV is likely the primary contributor to these results. Conclusion A more sophisticated algorithm for sepsis identification is needed to improve outcomes.
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Bennett, DeeDee, Salimah LaForce, Christina Touzet, and Kay Chiodo. "American Sign Language & Emergency Alerts: The Relationship between Language, Disability, and Accessible Emergency Messaging." International Journal of Mass Emergencies & Disasters 36, no. 1 (2018): 71–87. http://dx.doi.org/10.1177/028072701803600104.
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Emergency alert messages are not always completely accessible for people who are Deaf that rely on American Sign Language (ASL). ASL is a visual and conceptual language that has its own unique syntax and grammar. ASL has no roots in English and is the 3 rd most taught foreign language in our colleges today. Not all individuals who are deaf rely on ASL for “clear and effective” communication. For many individuals who become hard-of-hearing or deaf later in life (late-deafened), closed captioning can provide accommodations. For individuals who are Deaf and rely on ASL as their primary language, closed captioning is not a useful means of communication because the information is being conveyed in a language most ASL users do not fully comprehend. Similarly, emergency alert messages delivered via SMS text or email can also present confusion to ASL users who may struggle to understand the written English messages. One size does not fit all; and in this case, English text as a sole means of communication is not entirely accessible for people who rely on ASL. This paper outlines the relationship between language, disability, and emergency messaging as learned from several research studies examining the accessibility of public alerts and warnings.
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Kohler, Monica D., Deborah E. Smith, Jennifer Andrews, et al. "Earthquake Early Warning ShakeAlert 2.0: Public Rollout." Seismological Research Letters 91, no. 3 (2020): 1763–75. http://dx.doi.org/10.1785/0220190245.
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Abstract The ShakeAlert earthquake early warning system is designed to automatically identify and characterize the initiation and rupture evolution of large earthquakes, estimate the intensity of ground shaking that will result, and deliver alerts to people and systems that may experience shaking, prior to the occurrence of shaking at their location. It is configured to issue alerts to locations within the West Coast of the United States. In 2018, ShakeAlert 2.0 went live in a regional public test in the first phase of a general public rollout. The ShakeAlert system is now providing alerts to more than 60 institutional partners in the three states of the western United States where most of the nation’s earthquake risk is concentrated: California, Oregon, and Washington. The ShakeAlert 2.0 product for public alerting is a message containing a polygon enclosing a region predicted to experience modified Mercalli intensity (MMI) threshold levels that depend on the delivery method. Wireless Emergency Alerts are delivered for M 5+ earthquakes with expected shaking of MMI≥IV. For cell phone apps, the thresholds are M 4.5+ and MMI≥III. A polygon format alert is the easiest description for selective rebroadcasting mechanisms (e.g., cell towers) and is a requirement for some mass notification systems such as the Federal Emergency Management Agency’s Integrated Public Alert and Warning System. ShakeAlert 2.0 was tested using historic waveform data consisting of 60 M 3.5+ and 25 M 5.0+ earthquakes, in addition to other anomalous waveforms such as calibration signals. For the historic event test, the average M 5+ false alert and missed event rates for ShakeAlert 2.0 are 8% and 16%. The M 3.5+ false alert and missed event rates are 10% and 36.7%. Real-time performance metrics are also presented to assess how the system behaves in regions that are well-instrumented, sparsely instrumented, and for offshore earthquakes.
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Sarkar, Poulami, Anita Singh, and Md Anoarul Islam. "Emergency Alert System for Women’s Safety." IJIREEICE 7, no. 3 (2019): 53–55. http://dx.doi.org/10.17148/ijireeice.2019.7311.
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HAYATA, Yuto, and Minami TANAKA. "Emergency sound intervals for danger alert." International Symposium on Affective Science and Engineering ISASE2021 (2021): 1–4. http://dx.doi.org/10.5057/isase.2021-c000024.
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&NA;. "Medic Alert Emergency Hotline 800 Number." Clinical Nurse Specialist 12, no. 5 (1998): 210. http://dx.doi.org/10.1097/00002800-199809000-00016.
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MS.KHATIB, NIKHATPARVEEN, MS.MASKEMONIKA, MS.BIRAJDARLAXMI, A. S. PATIL PROF., SONIKA MS.BOGA, and SHRADDHA MS.KANDGULE. "PATIENT EMERGENCY AND DOCTOR ALERT SYSTEM." IJIERT - International Journal of Innovations in Engineering Research and Technology NITET-18 (March 17, 2018): 13. https://doi.org/10.5281/zenodo.1451340.
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<strong>The primary function of this system is to monitor a patient in emergency. We have to provide the device to patient from sending alerts to doctors . The message sent to the Micro controller. The Micro controller then transmits the data to the user in the form of SMS. Here we are using the GSM modem in order to transmit the information. From the transmitter,the parameters are sent as an SMS to the care taker or the expert or a doctor which have bee n given as the recipient. Not only we send the information through GSM module as SMS,we also display the readings on LCD. We also provide Android app for same.</strong> <strong>https://www.ijiert.org/paper-details?paper_id=141196</strong>
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Khedkar, Prof Kiran. "ACCIDENT DETECTION AND ALERT SYSTEM." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31371.
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Speed is a fundamental factor contributing to vehicular accidents, often resulting in tragic loss of life. The prompt arrival of emergency services can significantly mitigate the consequences of such accidents. This project focuses on developing an accident detection system equipped with various components to promptly alert rescue teams when an accident occurs, thereby potentially saving precious human lives. The proposed system is designed to efficiently detect accidents and automatically notify emergency services with the precise location of the incident. It achieves this by accurately capturing the latitude and longitude coordinates of the vehicle involved in the accident and promptly transmitting this critical information to the nearest emergency service provider. The primary objective of this project is to detect accidents swiftly and trigger timely alerts to the rescue team. By leveraging advanced technology and real-time data acquisition, this system aims to enhance the overall effectiveness of accident response mechanisms, ultimately contributing to the preservation of human life on the roadways. Key Words: Accident detection, Sensor network, Vehicle monitoring, Real-time monitoring, Intelligent transportation systems (ITS), Emergency response, Crash detection etc.
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Aitim, A. K., A. A. Kakharman, D. S. Iyembergen, O. E. Kassymbayev, and Y. Y. Malikomar. "Development of a Mobile Application for the Detection and Notification of Road Accidents." BULLETIN OF L.N. GUMILYOV EURASIAN NATIONAL UNIVERSITY TECHNICAL SCIENCE AND TECHNOLOGY SERIES 150, no. 1 (2025): 31–45. https://doi.org/10.32523/2616-7263-2025-150-1-31-45.
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For the last few decades, road accidents have been experienced at an exponential rate across the globe hence the need for efficient emergency response systems. However, the current conventional car accident detection systems lack the ability to be installed in ordinary car brands and are exclusively costly. Mobile disaster alert applications provide one example using smartphone application to alert the disaster response services. This systematic review examines the latest developments in the field of mobile applications for traffic safety alerts, focusing on their potential in terms of emergency response time and improving user convenience. The main purpose of this review is to evaluate the effectiveness of mobile accident warning applications and their usability. Studies from academic databases, including Google Scholar, Scopus, JSTORE, and IEEE Xplore, published since 2010 were reviewed. Inclusion criteria included studies that examined mobile-based applications for road safety, with a focus on real-time notification and usability testing. The results indicate that mobile alert applications can significantly improve emergency response times, especially when equipped with automated notification. This work contributes to the field of public safety by emphasizing the accessibility and scalability of mobile road safety solutions, and by highlighting areas for improvement in usability and reliability.
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Shrivastava, Vasudev, and Prof Shivangi Gandhi. "Smart Accident Detection and Alert System using Accelerometer, GPS and GSM Module with Integrated Functionality of Alcohol Detection." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 1748–54. http://dx.doi.org/10.22214/ijraset.2023.51912.
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Abstract: The Smart Accident Alert System is a comprehensive solution created to identify accidents and transmit alerts to the authorities in real-time. It uses IOT and integrates GPS, Accelerometer, GSM, and MQ3 Sensor. To enable precise and accurate accident detection and reporting, this system makes use of a number of technologies, including GPS, Accelerometer, GSM, and MQ3 Sensor. The system functions by continuously tracking a vehicle's motions and evaluating the sensor data. When an accident occurs, the system immediately alerts the emergency services and notifies the registered user to let them know. The IOTbased Smart Accident Alert System offers a trustworthy and effective means to identify accidents, shortening response times and sparing priceless lives
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Gaikwad, Arjun, Shree Kumavat, Saee Deshmukh, Jas Patel, and Prof Divekar. "GPS Tracker System." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 1327–30. http://dx.doi.org/10.22214/ijraset.2022.42379.
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Abstract: Security girls |for ladies| for women} has become a serious issue because the range of crimes over women and girls increasing day-by-day. This project describes concerning girls safety and their security by victimization device to each find the matter & alert Authorities. This project suggests a brand new perspective to use technology to shield girls. we have a tendency to use associate degree robot based mostly} good phone with associate degree integrated feature that alert and supply location based data. “Women Security System “that gives the mix of GPS devices as- well-as provide alerts associate degreed message with an emergency button Trigger. Whenever someone is in hassle They solely ought to press Button subsequently a message alert is shipped to Register Contact list and provides a message “I AM In hassle PLEASE facilitate ME” and switch on camera to click image. currently on a daily basis safety of ladies is changing into terribly poor with the assistance of this Application. Keywords: Safety and security, harassment, killed, raped, emergency, IOT, sensors, gps, station, etc