Implementation Of Early Warning System Research Articles

Implementation of Early Warning System on SMART VU SCADA PT PLN (Persero) With LED Warning Lights

Electric power distribution is a crucial element in meeting the needs of the community, especially in the workshop and electronic equipment repair sector. The transmission process aims to optimize efficiency and reduce power losses. PT PLN (Persero) UP2D SUMBAR has a high commitment in responding to the needs of the community, related to the distribution of electricity, especially in the 20 KV distribution network. Although it already uses two Early Warning Systems connected to SMART VU SCADA, the DCC room alarm sound is disabled to minimize noise. Therefore, this research focuses on implementing an additional Early Warning System with LED warning lights. The research methodology includes literature study, initial testing (Experimental Method), system design, hardware design, second testing (successful/unsuccessful), direct testing in the DCC room, and analysis of results. It is expected that this research can improve alarm notifications, speed up dispatcher response time, and increase vigilance in handling disturbances in the 20 KV distribution network.

Implementation of early warning system in the clinical teaching unit to reduce unexpected deaths

BackgroundEarly detection of patients with clinical deterioration admitted to the hospital is critical. The early warning system (EWS) is developed to identify early clinical deterioration. Using individual patient’s vital sign...

Communicating landslide risks during the COVID-19 pandemic: A baseline study for PHIVOLCS-Dynaslope stakeholders

Dynaslope Project, a government-funded program implemented by the Philippine Institute of Volcanology and Seismology (PHIVOLCS), develops and deploys an early warning system (EWS) for deep-seated landslides. It uses landslide sensor technology and community involvement in its EWS implementation in 50 sites all over the country. As the pandemic altered people’s modes of communication, it is important to understand how these changes relate to communicating landslide early warning information (LEWI). This research answered: How can the Dynaslope Project effectively communicate landslide risk during the COVID-19 pandemic? Specifically, it a) identified their preferred communication channels and tools during the pandemic, b) enumerated the stakeholders’ perceived participation and communication barriers, and c) measured the degree of trust of the stakeholders in the Project, the LEWI it released, and other key messages. This research was guided by the Actor-Network Theory and the concept of co-orientation which posited that, instead of a single entity defining a network or a system, it was the interactions between people, objects, and institutions that created a collective network and continuously negotiated a coherent understanding. The study employed a descriptive quantitative methodology. It used stratified random sampling to select the participants. Among the major findings include the stakeholders’ preference for offline communication like SMS and calls, the presence of communication and participation barriers including weak or no phone reception and limited access to up-to-date communication devices and the internet, and a high level of trust in the Dynaslope Project because it was implemented by a science-based national agency PHIVOLCS.

Implementation of Hospital-wide Intelligent and Mobile Early Warning Systems

<p>在醫療機構導入早期預警系統(Early Warning System, EWS)是全世界醫療照護的趨勢之一。本院獲得英國皇家醫師學會(Royal College of Physicians, RCP)授權，導入其發展的臨床早期預警系統(National Early Warning System, ver. 2, NEWS2)，並於2020年7月在醫院全面建置。</p> <p>本院自行開發的智慧化、行動化EWS除包含NEWS2外，亦納入ISBAR、qSOFA、互動式團隊溝通及社交媒體(LINE)實名登錄EWS的資安機制。除此之外，也調整醫療照護模式，建立EWS監控中心、臨床督導團隊(Medical Audit Team, MAT)及緊急應變團隊(Rapid Response Team, RRT)，能夠及早介入病情惡化病人的臨床治療，避免演變成醫療意外事故。</p> <p>導入EWS後的成果：1.非預期急救事件發生率降低31%、急救後死亡率降低50%；2.可即時掌握病人生理資訊，促進醫護溝通。</p> <p> </p><p>Implementation of early warning systems (EWSs) in medical institutions has become a healthcare trend worldwide. The case hospital received authorization from the Royal College of Physicians to implement its National Early Warning System ver. 2 (NEWS2). The hospital-wide implementation of the system was completed in July 2020. </p> <p>The hospital developed its own smart and mobile EWS system, in addition to NEWS2, and also adopted the ISBAR (identification, situation, background, assessment, recommendations) tool, the qSOFA (quick Sequential Organ Failure Assessment), interactive team communication, and used the LINE real-name registration mechanism to protect patient data. Also modified the hospital’s healthcare workflow to establish an EWS monitoring center, medical audit team, and rapid response teams, helping patients with deteriorated conditions to receive timely clinical retreatment to prevent medical accidents. </p> <p>After the EWSs were implemented, the incidence rate of unexpected CPR decreased by 31%, the mortality rate after CPR decreased by 50% as well as helped healthcare providers were well-timed to obtain patients’ physical information, and facilitate interprofessional communication.</p> <p> </p>

Adaptive Early Warning Systems: An Axiomatic Approach

Abstract The U.S. Subprime Crisis and the subsequent Great Recession have highlighted a renewed interest in the proper design and implementation of Early Warning Systems (E.W.S.), in order to help deter the onset of subsequent extreme financial events, through the implementation of adequate crisis detection mechanisms. The present article describes the Adaptive Early Warning Systems (A.E.W.S.) axiomatic approach, as a natural operational extension to E.W.S. testing. This novel protocol upholds the operational dimension of implementing an efficient holistic crisis detection mechanism, a domain which has been hitherto overlooked by the E.W.S. literature. The paper first describes the major axiomatic principles sustaining the A.E.W.S. protocol, which seek to establish universal principles in support of the said protocol. Second, the article also describes a basic universal template for an A.E.W.S. surveillance platform, which duly describes how multiple testing procedures can be integrated into a single crisis detection framework, while targeting multiple segments of the financial markets (such as the conventional and non-conventional segments of the financial markets). Third, the paper also describes the major advantages and disadvantages associated with the implementation of this novel protocol. It is hoped that the effective implementation of the A.E.W.S. protocol as a novel operational framework in the global macroprudential toolkit might help deter the onset of future extreme financial events, by enabling a greater cohesiveness in E.W.S.-related central banking procedures, as well as promoting a greater international central banking cooperation prior to and during financial distress episodes.

Early warning systems and rapid response systems for the prevention of patient deterioration on acute adult hospital wards.

Early warning systems and rapid response systems for the prevention of patient deterioration on acute adult hospital wards.

Implementation of Early Warning System in Kampung Jenagor, Kuala Berang as an Effort to Increase Human Resilience Towards Flood Disaster

Residents living downstream of Kenyir dam (Stesen Janaelektrik Sultan Mahmud) are at risk of being flooded due to overflow through spillway, or worst, dam breaks. The nearest community to Kenyir dam is Kampung Jenagor (Kampung Jenagor) residents. A disaster preparedness action plan was proposed to equip the residents with essential knowledge on how to respond to such disaster and how to safely evacuate to designated safe havens. This paper presents one key element of the mentioned action plan, which is to develop and install a flood disaster early warning system. The system is aimed to effectively disseminate warning to Kampung Jenagor residents and ensure that there is a constant state of preparedness. The paper discusses the fundamentals of effective warning dissemination and basic design of Kampung Jenagor’s early warning system.

Early warning systems (EWSs) for chikungunya, dengue, malaria, yellow fever, and Zika outbreaks: What is the evidence? A scoping review.

BackgroundEarly warning systems (EWSs) are of increasing importance in the context of outbreak-prone diseases such as chikungunya, dengue, malaria, yellow fever, and Zika. A scoping review has been undertaken for all 5 diseases to summarize existing evidence of EWS tools in terms of their structural and statistical designs, feasibility of integration and implementation into national surveillance programs, and the users’ perspective of their applications.MethodsData were extracted from Cochrane Database of Systematic Reviews (CDSR), Google Scholar, Latin American and Caribbean Health Sciences Literature (LILACS), PubMed, Web of Science, and WHO Library Database (WHOLIS) databases until August 2019. Included were studies reporting on (a) experiences with existing EWS, including implemented tools; and (b) the development or implementation of EWS in a particular setting. No restrictions were applied regarding year of publication, language or geographical area.FindingsThrough the first screening, 11,710 documents for dengue, 2,757 for Zika, 2,706 for chikungunya, 24,611 for malaria, and 4,963 for yellow fever were identified. After applying the selection criteria, a total of 37 studies were included in this review. Key findings were the following: (1) a large number of studies showed the quality performance of their prediction models but except for dengue outbreaks, only few presented statistical prediction validity of EWS; (2) while entomological, epidemiological, and social media alarm indicators are potentially useful for outbreak warning, almost all studies focus primarily or exclusively on meteorological indicators, which tends to limit the prediction capacity; (3) no assessment of the integration of the EWS into a routine surveillance system could be found, and only few studies addressed the users’ perspective of the tool; (4) almost all EWS tools require highly skilled users with advanced statistics; and (5) spatial prediction remains a limitation with no tool currently able to map high transmission areas at small spatial level.ConclusionsIn view of the escalating infectious diseases as global threats, gaps and challenges are significantly present within the EWS applications. While some advanced EWS showed high prediction abilities, the scarcity of tool assessments in terms of integration into existing national surveillance systems as well as of the feasibility of transforming model outputs into local vector control or action plans tends to limit in most cases the support of countries in controlling disease outbreaks.

IMPLEMENTATION OF EARLY WARNING SYSTEM IN NURSING WARD: A LITERATURE REVIEW

Background: Hospital service is a process that involves all elements in the hospital including nurses and inpatient rooms or nursing wards. Different inpatient conditions will be treated in separated wards, by the same token patients with unstable conditions are admitted in intensive care units, this procedure aims to reduce the mortality incidence due to sudden cardiac arrest, therefore early detection of patients’ clinical deterioration using the early warning score system performed by the nurse in the nursing wards is required. Objective: This review study is a summary of the early warning system implementation in the nursing wards. Design: The data was obtained from international journal providers Proquest and Ebsco databases. The author accessed unair.remotexs.co website. Review Methods: Narative Review. Results: Early warning score is an effective intervention for emergency detection in patients. Conclusion: Early detection clinical emergency or known as the Early Warning Score System (EWSS) is the application of a scoring system for early detection of patient's condition before a worsening situation occurs. The implementation of this scoring system is necessary due to the high rate of deterioration of patient conditions that requiring immediate management to prevent profound deterioration and its subsequent adverse effect
 
 Keywords : Early warning system;nurse care;literatur;review

Defining and recognising clinical deterioration in the prehospital setting (PRECLuDE study): a systematic scoping review

<p><strong>Introduction</strong></p><p>Early identification of high-risk patients in the prehospital environment is crucial as it enables early intervention, transportation, and may determine the trajectory of future care. Although early warning systems (EWS) in-hospital are well established, it remains unclear whether adaptations of these systems can simply be extrapolated to prehospital care. This scoping review aims to explore how the current literature defines and recognises clinical deterioration in the prehospital setting.</p><p> </p><p><strong>Methods</strong></p><p>In December 2019, a systematic search of five databases using a combination of terms describing ‘paramedic’, were integrated with terminology relating to ‘recognition’ of ‘clinical deterioration’. Additional reference chaining was also undertaken.</p><p> </p><p><strong>Results</strong></p><p>A total of eight papers met the inclusion criteria. Seven out of eight studies included a definition, however these were primarily ad-hoc and fundamentally formed to support the creation of varying EWS. The prevalence of prehospital clinical deterioration is poorly explored in the literature, with only two studies discussing the frequency deterioration (5.1%). Furthermore, studies reported that paramedics were inadequate at identifying clinical deterioration due to medical aetiology by comparison to trauma. Additionally, a number of articles reported an association between clinician experience and recognition of clinical deterioration. As the topic of prehospital clinical deterioration has rapidly moved to focus on the potential implementation of EWS, with few studies providing fundamental description of the concept and its characteristics, there is no standardised operational definition available in the literature. The development of this definition is crucial to assessing clinical deterioration and improving the efficacy of EWS. Not only could this lead to improving early identification of risk factors, but it can lay the foundations for the development of an effective EWS.</p><p> </p><p><strong>Conclusion</strong></p><p>This review has found that further quality research in this understated space is warranted to increase understanding and early identification of the deteriorating patient, prevent unnecessary harm, and ultimately, improve patient outcomes. </p>

Evaluasi Penerapan Sistem Peringatan Dini Bencana Longsor di Kampung Jatiradio, Desa Cililin, Kecamatan Cililin, Kabupaten Bandung Barat

Indonesian territory is a disaster-prone region. There are at least 12 disaster threats that are grouped in geological disasters (earthquakes, tsunamis, volcanoes, landslides), hydrometeorological disasters (floods, flash floods, droughts, extreme weather, extreme waves, forest and land fires), and anthropogenic disasters (epidemics of disease outbreaks and failed technology-industrial accidents). Landslides or land movements in Indonesia in recent years have increased in intensity and frequency. One of the efforts to reduce the risk of landslides that has been carried out by the Disaster Risk Reduction Technology Center-BPPT is to build an Landslide Early Warning System in Jatiradio Village, Cililin District, West Bandung Regency. In order to uniform the implementation of an early warning system for landslides or land movements in disaster prone areas, the government has established a national standard namely SNI 8235: 2017 on the Early Warning System for Land Movements. The purpose of this study is to evaluate the compliance between the Landslide Early Warning System that has been developed by PTRRB-BPPT with the Indonesian National Standard for the Land Movement Early Warning System (SNI 8235: 2017). Based on the results of data analysis and evaluation, it can be concluded that the implementation of the landslide early warning system in Jatiradio Village, Cililin Village, Cililin District, West Bandung Regency is in accordance with the Indonesian National Standard (SNI 8235: 2017) concerning the Soil Movement Early Warning System.

Analysis of Implementation of EWSS (Early Warning Score Systems) Against AvLos (Average Length of Stay) and the Trust of Patients in Inpatient Installation at Jombang General Hospital

Hospitals are required to always improve the quality of service provided to patients. These challenges have forced the hospital to develop its ability to manifest in various aspects of health care quality responsible. One of them by applying the assessment and early detection in patients kegawatan as well as the critical state of activation becomes very important. Quick and proper response to a nurse against the worsening conditions of patients giving a great impact to the quality of the quality of service provided. The purpose of this research is to analyze the implementation of Early Warning systems (EWSS) Score against AvLOS and trust patients in Inpatient installation at Jombang General Hospitals. The research design was analytic observational with a quantitative approach. Research variables i.e. implementation of EWSS as independent variables. AvLos and trust patients as the dependent variable. The population of this entire research nurses in Inpatient installation at Jombang General Hospitals as much as 135 nurses, patients and families of patients who are being treated in Inpatient installation at Jombang General Hospitals Jombang. Samples taken with the cluster random sampling technique as much as 101 respondents. Data is collected with instruments ceklist and processed in coding, editing, tabulating and scoring as well as tested with logistics regression test. Logistic regression results indicate that partially and simultaneously show that the value of p values < 0.05 so that there were the implementation of Early Warning systems (EWSS) Score against AvLOS and trust of the patient, and the simultaneous influence of 83.2%. The existence of implementation of EWSS in patients with good then early detection and response officers can be done in a proper and effective against the condition and the healing of patients and can shorten the day care patients, so that it can affect the confidence and trust family and patient in receiving health services in the hospital

COMMUNITY AWARENESS ON THE IMPLEMENTATION OF EARLY WARNING SYSTEM AT TENAGA NASIONAL BERHAD SULTAN ABU BAKAR HYDROELECTRIC SCHEME, LEMBAH BERTAM, CAMERON HIGHLAND

This article presents the community awareness on the implementation of Early Warning System (EWS) in a well-planned Integrated Community-Based Disaster Management (ICBDM) that covers all Tenaga Nasional Berhad’s (TNB) hydroelectric schemes. In Cameron Highland, Lembah Bertam and further downstream villages were reported to have the highest occurrence of floods especially during monsoon season, which makes the area vulnerable. This study incorporates and synergizes three major stakeholders; the community; local authority; and TNB; gearing towards minimizing loss of life and property damages in the event of a dam related disaster. The aim of this article is to assess the level of awareness and perceptions of the directly affected communities towards the implementation of EWS. Their heightened awareness would help to reduce their vulnerability in the event of future disaster. This study opted for a quantitative approach, which included a questionnaire survey. The findings revealed that the demographic characteristics influenced community awareness regarding the implementation of EWS. Most of the respondents accepted the EWS positively and understood the importance of EWS. Thus, the community members have the right to know and understand the hazard they should be expecting so they can plan for themselves and make informed choices to reduce their vulnerability.

COMMUNITY AWARENESS ON THE IMPLEMENTATION OF EARLY WARNING SYSTEM AT TENAGA NASIONAL BERHAD SULTAN ABU BAKAR HYDROELECTRIC SCHEME, LEMBAH BERTAM, CAMERON HIGHLAND

This article presents the community awareness on the implementation of Early Warning System (EWS) in a well-planned Integrated Community-Based Disaster Management (ICBDM) that covers all Tenaga Nasional Berhad’s (TNB) hydroelectric schemes. In Cameron Highland, Lembah Bertam and further downstream villages were reported to have the highest occurrence of floods especially during monsoon season, which makes the area vulnerable. This study incorporates and synergizes three major stakeholders; the community; local authority; and TNB; gearing towards minimizing loss of life and property damages in the event of a dam related disaster. The aim of this article is to assess the level of awareness and perceptions of the directly affected communities towards the implementation of EWS. Their heightened awareness would help to reduce their vulnerability in the event of future disaster. This study opted for a quantitative approach, which included a questionnaire survey. The findings revealed that the demographic characteristics influenced community awareness regarding the implementation of EWS. Most of the respondents accepted the EWS positively and understood the importance of EWS. Thus, the community members have the right to know and understand the hazard they should be expecting so they can plan for themselves and make informed choices to reduce their vulnerability.

Risk assessment and early warning systems for industrial facilities in seismic zones

Industrial equipments and systems can suffer structural damage when hit by earthquakes, so that accidental scenarios as fire, explosion and dispersion of toxic substances can take place. As a result, overall damage to people, environment and properties increases. The present paper deals with seismic risk analysis of industrial facilities where atmospheric storage tanks (anchored or unanchored to ground), horizontal pressurised tanks, reactors and pumps are installed. Simplified procedures and methodologies based on historical database and literature data on natural-technological (Na-Tech) accidents for seismic risk assessment are discussed. Equipment-specific fragility curves have been thus derived depending on a single earthquake measure, peak ground acceleration (PGA). Fragility parameters have been then transformed to linear probit coefficients in order to obtain reliable threshold values for earthquake intensity measure, both for structural damage and loss of containment. These threshold values are of great interest when development of active and passive mitigation actions and systems, safety management, and the implementation of early warning system are concerned. The approach is general and can be implemented in any available code or procedure for risk assessment. Some results of seismic analysis of atmospheric storage tanks are also presented for validation.