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Hand hygiene (HH) is a crucial factor for reducing Healthcare Associated Infections (HAIs) in the hospital setting. The current analysis was created to create an intervention methodology to enhance hand hygiene compliance among hospital personnel in a healthcare setting. Covid-19 disease epidemic has additional stressed the need for world-wide development in hand hygiene compliance by the healthcare personnel. Healthcare Associated Infections have been a hot issue for several time periods and Healthcare Associated Infections are the most common adverse results due to the delivery of medical care and treatment. There is unanimity that hand hygiene is the extremely successful way to avoid healthcare associated infections. As healthcare systems fluctuate widely, prevention approaches must be designed appropriately. Hand hygiene, however, remains relevant in all settings, and World Health Organization (WHO) is strongly endorsing alcohol-based hand rubs to interrupt transmission. Nevertheless, very minimal compliance rate amongst the healthcare staff have been reported worldwide. Infected surfaces, especially those that are touched repeatedly by the patient's surroundings, act as reservoirs for pathogens and cause towards pathogen transmission. Therefore, healthcare disinfection requires a thorough approach whereby several strategies may be applied together, risk-based methodologies, to decrease the possibility of HAIs for the patients. In this paper more than 200 articles have been studied from 2016 to 2021 time period and various surveys have been conducted to analyze hand hygiene intervention and studied the various factors involving the patient's situation, medication management behavior of several units, and the type of healthcare employees during and before the Covid-19 pandemic. Based on this study, we evaluated overall hand hygiene compliance rate including the intake of hand wash liquid agent, alcohol-based hand rub (ABHR), the paper wipes, medical waste consumption and personal protective equipment's (gloves, masks etc.) before and after Covid-19 intervention to improve the hand hygiene compliance rate in Abu Dhabi hospitals. © 2023 Author(s).
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Fifth-generation (5G) networks offer high-speed data transmission with low latency, increased base station volume, improved quality of service (QoS), and massive multiple-input-multiple-output (M-MIMO) channels compared to 4G long-term evolution (LTE) networks. However, the COVID-19 pandemic has disrupted the achievement of mobility and handover (HO) in 5G networks due to significant changes in intelligent devices and high-definition (HD) multimedia applications. Consequently, the current cellular network faces challenges in propagating high-capacity data with improved speed, QoS, latency, and efficient HO and mobility management. This comprehensive survey paper specifically focuses on HO and mobility management issues within 5G heterogeneous networks (HetNets). The paper thoroughly examines the existing literature and investigates key performance indicators (KPIs) and solutions for HO and mobility-related challenges while considering applied standards. Additionally, it evaluates the performance of current models in addressing HO and mobility management issues, taking into account factors such as energy efficiency, reliability, latency, and scalability. Finally, this paper identifies significant challenges associated with HO and mobility management in existing research models and provides detailed evaluations of their solutions along with recommendations for future research.
Subject(s)
COVID-19 , Humans , Pandemics , Reproducibility of Results , Intelligence , MultimediaABSTRACT
In the present study, we examined whether students' academic success in courses devoted to Arabic and Islamic culture changed when the familiar face-to-face delivery format (before the Covid-19 pandemic) was discarded in favor ofan online synchronous delivery format (during the pandemic). The final class grades of students enrolled in one of four courses in a sequence devoted to Arabic culture and religion were compared while holding constant the variable instructor. The ability of early performance indicators to predict final class grades was also examined to assess whether there were differences between instructional deliveries. Superior performance and lower failure rates were observed online for courses at the beginning of the sequence, but not at the end of the sequence. These findings suggest that the impact of instructional delivery might vary depending on the students' accumulated academic experience.
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Aim To assess the effectiveness of QMS implemented by "Research Institute for Complex Issues of Cardiovascular Diseases" (NII KPSSZ) in 2020 and determine the impact of force majeure event (COVID-19 pandemic) on the achievement of the goals and objectives of the organization. Methods 11 QMS processes of the NII KPSSZ in 2020 were analyzed according to 98 performance criteria. The following general scientific methods were used for the assessment of QMS: analysis, synthesis, structural and systems analysis. Results The overall effectiveness of the QMS in 2020 was 83.5%, for the individual processes it varies from 57% to 100%. Achievement of target indicators in accordance with the criteria reflects the effectiveness of risk management in QMS processes. 27 criteria were added (9 of which were reformulated) as a result of the development of the system and the analysis of work experience in unusual circumstances for year 2021. At the end of 2021, QMS will be analyzed according to 117 criteria for the processes effectiveness. Conclusion The presented experience of quality management system functioning in 2020 highlights the significant roles of monitoring of the main processes and performance indicators analysis of scientific and medical organization in the ongoing COVID-19 pandemic. Such analysis is a necessary for decision-making because it allows the organization to fulfill the obligations, maintain conditions for increasing stakeholder satisfaction, monitor risks and assess opportunities associated with the environment and objectives of the organization, and ensure compliance with the standard requirements, regulations and legislation.Copyright © 2021 Southern Mathematical Institute of VSC RAS.
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PurposeThis viewpoint paper aims to discuss sustainable digitalisation of facilities management (FM) through the implementation of the newly recognised International Organization for Standardization (ISO) standards within the ISO 41000 series.Design/methodology/approachThis viewpoint paper provides a review of the literature of the recent ISO documents and academic study. The content is also dependent on the authors' opinions and interpretation.FindingsFM is currently shifting emphasis towards a strategic focus through the adoption of the new recognised international ISO standards that consider sustainable digitalisation in business decisions. However, the FM sector is encountering potential risks to the implementation of the new recognised international ISO standards. Digitalisation is one kind of force that has shaped the management of the built environment and FM recently and rapidly, especially in the Covid-19 period. This is impacting the FM industry. As standardisation aims at establishing a constantly evolving baseline of proven practices, standardisation can be considered a part of sustainable FM. It is believed that standardised and strategic level support is crucial for the smooth adoption of sustainable FM practices and processes. Standards such as the ISO standards, applied to the global FM industry, help in objectively quantifying the added value of FM to the core business. Advanced technology and digitalisation can contribute to the sustainability of any profession and industry, but it also requires a community to tackle the problems.Originality/valueThis paper contributes to the FM industry by making recommendations for improvement in the use of digitalisation. In summary, the significant finding of this viewpoint paper is that digitalisation offers both possibilities and problems in the application of the new recognised international ISO standards within the FM industry.
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Introduction: This exploratory study aimed to assess the relationship between athlete neuromuscular performance and rugby performance indicators. Specifically, the study looked at the force-velocity profiles (FVPs) derived from four common resistance exercises and their relationship with rugby performance indicators (RPIs). Methods: The study recruited twenty-two semi-professional male rugby players (body mass 102.5 ± 12.6 kg, height 1.85 ± 0.74 m, age 24.4 ± 3.4 years) consisting of ten backs and twelve forwards. Prior to the first game of a Covid-impacted nine-match season, participants performed four common resistance exercises (barbell box squat, jammer push-press, sled pull, and sled push) at incremental loads to establish force-velocity profiles. During the season, rugby performance indicators (post-contact metres, tries, turnovers conceded, tackles, try assists, metres ran, defenders beaten, and tackle breaks) were collated from two trusted sources by a performance analyst. Correlational analyses were used to determine the relationship between the results of FVPs and RPIs. Results: The study found a statistically significant, moderate, positive correlation between tackle-breaks and sled push V 0 (r = .35, p = .048). Significant, large, positive correlations were also found between tackles and jammer push-press V 0 (r = .53, p = .049) and tackle-breaks and sled pull F 0 (r = .53, p = .03). There was a significant, negative relationship between sled pull V 0 and tackle-breaks (r = -.49, p = .04). However, the largest, significant correlation reported was between metres ran and sled pull F 0 (r = .66, p = .03). Conclusion: The study suggests that a relationship may exist between FVPs of particular exercises and RPIs, but further research is required to confirm this. Specifically, the results suggest that horizontal resistance training may be best to enhance RPIs (tackle-breaks, tackles, and metres ran). The study also found that maximal power was not related to any rugby performance indicator, which suggests that a specified prescription of either force or velocity dominant exercises to enhance RPIs may be warranted.
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As the industry recovers from the recent downturn in petroleum commodity prices and the economic impacts from coronavirus (COVID-19), governing authorities in most countries are imposing methodological measures to promote the reduction of carbon footprint. This affects every industry including the petroleum sector. Therefore, most investors and stakeholders have increased their focus on Environmental, Social, and Corporate Governance (ESG) policies. During the well construction phase, a transition from a hydraulic to an electric tong is achieved, resulting in carbon footprint reduction. Achieving carbon neutrality or carbon emission reduction while producing hydrocarbons is one of the topmost key performance indicators (KPIs) in the industry. With the implementation of digital technologies in the tubular and casing connection make-up process, a hydraulic tong is substituted with an electric tong of an equivalent specification. The energy consumption for both systems are calculated and compared. Other important KPIs on tracking operational cost are also assessed and the results are then compared to determine the benefits of implementing the upgraded digitalized tong solution. The electric tong digitalized solution, commercially available in the petroleum industry, is a key enabler for carbon emission reduction while running tubulars in/out of the wellbore. This solution is one of the milestones that serve as foundation to advocate carbon reduction. Eventually, this will lead to establishing carbon neutrality during hydrocarbon extraction and production. The results concluded that a digitalized solution eventually reduced personnel on board working in the "red zone," which eventually leads to carbon emission reductions caused by a decrease in fuel consumption. The decrease of 43% in CO2 emission is observed while performing tubular connection process. Moreover, an overall comparison between a legacy system with the digitalized electric system displayed more than 59% reduction in CO2 during the tubular running services. In addition to carbon reduction, this electric power and control solution allows for more precise torque control, leading to enhanced system integrity and increased reliability achieved by cleaner energy. With this digital solution, not only is the safety and well-being of rig personnel enhanced to avoid any recordable incidents, the reduction of carbon emission is also achieved, aligning to the objectives of current ESG regulatory authorities. This paper will provide comprehensive details on the novelty of this technology and solution offered to the industry. © 2022, Offshore Technology Conference. All rights reserved.
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Learning systems during the COVID-19 period has been modified in terms of methodology strategies as well as teachers' remote teaching emergency approach at primary education and higher education institutions. As a consequence, educators had to limitedly teach the basics from prioritized academic curriculums during the health emergency. Natural Sciences was not an exception, and the majority of educators in this field of study have notably identified low-academic performance during the COVID-19 pandemic. In Ecuador, learning expected results was obtained through the evaluation of performance indicators, so in this research project a statistical analysis was performed using scores for these indicators obtained from Middle School samples of students of the Carchi province, with the aim of identifying significantly affected population strata by the application of remote learning and characteristics leading to low-academic performance. Data gathered was statistically evaluated and the test was calibrated using the Item Response Theory;significative difference among variables and performance indicators were analyzed via students' scores using ANOVA, Pairwise T-Tests, and T-tests. Difference tests were carried out using the weighted score of each student for each indicator as continuous variables and the categorical variables were the internet availability, students' residence location and quintile they belong to. Results proved that there exist significant differences in the student scores depending on the internet availability and the zone where they live, where the academic performance was significantly higher on those students that had stable internet connection in their homes and resided in urban zones during the pandemic. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Objectives: to evaluate the impact of the COVID-19 on the hospital key performance indicators using the diagnosis-related groups (DRG). To compare the results of the Angiology and Vascular Surgery Department of the University Hospital of Cabuenes (HUCAB) with the database of the Ministry of Health. Material(s) and Method(s): hospital discharges from the Vascular Surgery Department of the HUCAB during the years 2019, 2020 and 2021. All patients refined (APR)-DRG system was extracted for discharge coding. The hospital key indicators studied were: number of discharges, mortality, mean stay (EM) and mean weight (PM) of the DRG. The overall results per year and according to the most prevalent DRGs were studied. The results obtained were compared with the annual data from the coding of the Minimum Basic Data Set (CMBD) of the Ministry of Health. The configured EM by adjusting the performance of the standard (EMAF) and by the casuistry (EMAC), the index of the adjusted EM (IEMA), the functional index (FI), casuistic index (CI) and the number of avoidable hospital stays were also analyzed. Result(s): number of discharges: it was 10 % inferior in 2020 compared to 2019. Discharges of the GRD 181 linked to admissions from the Emergency increased more than 50 % during 2020 and more than 100 % in 2021 compared to 2019. Mortality: there was no significant increase. EM: it decreased 20 % in 2020 and 18 % in 2021, compared to 2019. PM: it increased progressively to 7.7% on average in 2021. EMAF: it was superior to standard EM. The number of stays saved was higher than expected. Conclusion(s): the pandemic of COVID-19 influenced the hospital key performance indicators studied, reducing the number of discharges and ME and increasing the PM of the DRGs. The number of avoidable stays saved was greater than the standard.© Copyright 2023 SEACV.
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Purpose: This paper aims to present a simple and innovative fuzzy methodology-based lean performance measurement system (L-PMS) for an Indian automotive supply chain. The paper also enlightens the influence of coronavirus disease 2019 (COVID-19) on supply chains and the practical implications of the unprecedented disruptions on the performance measurement systems. Design/methodology/approach: The L-PMS is divided into three phases. In the first phase, the key performance indicator (KPI) list, as deemed fit by the organization, is prepared using literature and suggestions from the case organization. The list contains 61 KPIs measuring 24 performance dimensions in seven functional areas of the supply chain. In the second phase, the KPI performance data (actual, best and worst) are collected using the enterprise resource planning (ERP) system. In the last phase, the leanness score of the case organization is calculated at four levels – KPI, dimension, functional area and overall organization. Findings: The overall leanness score of the case organization is 60%. The case organization uses KPIs from all seven functional areas, but it needs to improve the number of KPIs in administration and supplier management functional areas. The case organization uses only quantitative KPIs. However, the performance dimensions at the middle level are adequate. The leanness level of the case organization in different areas is highly variable (ranges from 45% to 91%). Research limitations/implications: The major limitation of the study is that the case study is done at a single organization. Practical implications: The managers at the different levels of the hierarchy can use the lean performance measurement score to leverage the better performing areas/dimensions/KPIs and improve poor performing areas/dimensions/KPIs. The lean performance measurement at functional area level can help leadership to give responsibility to different people for the improvement of leanness with respect to different dimensions/functional areas. The disruptive impact of COVID-19 should clearly be understood by the managers to make appropriate decisions based on the severity as measured at different levels. Originality/value: According to the authors' best knowledge, this is the first lean performance measurement application at the four hierarchical levels (KPI, performance dimension, functional area and overall organization). © 2023, Emerald Publishing Limited.
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Covid-19 pandemic affected aviation severely, resulting in unprecedented reduction of air traffic. While aviation is slowly re-gaining traffic volumes, we use the opportunity to study the arrival performance in the Terminal Maneuvering Area (TMA) in non-congested scenarios. Applying flight efficiency and environmental performance indicators (PIs) to the historical data of arrivals to Stockholm Arlanda and Gothenburg Landvetter airports, we discover noticeable inefficiencies, despite significant reduction of traffic intensity. We analyze the impact of such factors as weather and traffic intensity on arrival efficiency in isolated scenarios when only one factor dominates: isolated scenario with low traffic and isolated scenario with good weather conditions. Our analysis uncovers that weather has a stronger influence than traffic intensity on the vertical efficiency, while traffic intensity has stronger effect on the lateral efficiency. Impact of traffic intensity on the lateral efficiency might be explained by frequent hold-on patterns and flight trajectory extensions due to vectoring in high traffic conditions. Further investigation is needed to explain weather and vertical/lateral efficiency correlations, the conclusions might be country-specific.
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Background: Coronavirus (Covid-19) is a viral illness caused by a recently discovered coronavirus that began in the Chinese city of Wuhan in December 2019.(1). The impact of this global pandemic affects all social, psychological, and economic aspects of society, and health(1,2). The aim of the Saudi preventive health programs for Community health services was to increase awareness and decrease preventable diseases. This study aimed to assess the impact of the COVID-19 pandemic on key performance indicators of health programs at Makkah Al-Mukarramah City. Material and Methods: This comparative descriptive study was conducted to assess health programs' key performance indicators and statistics before COVID19 in 2019, in comparison with 2020 and 2021. KPI and statistics of health programs collected the data including that on chronic diseases Preventive programs, age categories and healthy life programs.
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In the field of computation, the art of predicting the stock market has always been a tough nut to crack for researchers. This is because stock prices are highly influential values. The prices depend on many factors, ranging from physical to physiological, rational and irrational, from geopolitical stability to the sentiments of the investors - all play a crucial role. Investors anticipate market conditions in the future for a successful investment. Hence considering the past stock prices as an embodiment of the factors mentioned above, we propose a stacked long-short-term-memory (LSTM) model to predict the closing index of stock prices during this highly uncertain pandemic period using root mean square error (RSME) as the performance indicator. The model is optimized to improve the prediction accuracy in order to achieve high performance stock forecasting. The dataset considered is from NIFTY 50 scaling across four sectors, namely - auto, bank, healthcare and metal from a duration of 30th January 2020 to 31st March 2022. This paper aims to consider the historical data to analyze future patterns and insights. © 2022 IEEE.
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COVID-19 has been affecting all components of our daily routines since December 2019. One of the affected industries from COVID-19 based prevention measurements is football. Most of the leagues stopped temporarily and then re-started without spectators which caused important economic loss in this industry. The aim of this paper was to investigate if the players avoided physical interactions from their opponents after the leagues re-started. The data covers 6 European football leagues with 5689 matches from the seasons in the years of 2018-2021. The examined parameters in the study were foul, challenge, air challenge, tackle, number of possessions, ball possession time and average time of possession. The results showed that the players might have been avoided physical interactions to protect themselves from a possible contagion. Providing more hygiene conditions and also awareness studies are needed to prevent possible negative effects of COVID-19 on the football industry.
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The purpose of this research study is to explore insights to create more contextual lecturer performance indicators (LPIs);and to gain a fairer and more useful evaluation tool for lecturers in the online environment during the COVID-19 pandemic. This significant change in conditions has forced higher education to understand the new requirements, especially of lecturers, who have played a central role in creating engaging moments for students in online classes. This study adopts a qualitative approach, based on the need for a more in-depth exploration of new phenomena. It explores students' daily lives in class, which were expressed through social media, and gains further understanding through in-depth interviews with students and lecturers. The results indicate that most of the items taken from the Social-Task-Technology-Fit (STTF) framework remain the same;there are not many changes compared to the era before the pandemic. However, some aspects have new meanings that need to be revisited to capture the lecturers' performance in the new context. Three new themes emerged from the exploration study which have never been discussed in previous studies on LPIs for online teaching, especially in abnormal conditions such as a pandemic. The first theme concerns the variations in digital literacy of lecturers and the implications for lecturers' performance. The second theme is the dynamic ratio of social versus task activities, which implies the need to focus on academic (task-oriented) or non-academic (social) tasks. The third theme is the degree of controllability of each performance. This study provides awareness of the importance of weighting in evaluating lecturer performance, especially when not all lecturers are digitally literate, not all factors are controllable, and the ratios between social versus task requirements are not the same. These weighted evaluations have never been discussed in previous studies, which mainly used quantitative surveys. In addition, these insights can also be applied to online learning beyond the pandemic. The study results can be used by higher education information management to design more contextual LPIs for the early detection of issues with lecturer performance. © 2022, Academic Conferences and Publishing International Limited. All rights reserved.
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BACKGROUND: Due to the COVID-19 pandemic, the 2020 season Chinese Super League (CSL) was held in neutral venues, this study aims to analyse the impact of removing home advantage (HA) in CSL. METHOD: 240 games of the CSL 2019 season (home and away double round-robin system) and 160 games of the 2020 season (in neutral venues) were analysed. 27 technical and tactical performance indicators were involved as dependent variables. A multiple linear regression model was established to analyse the influence of removing HA on the performance indicators. RESULTS: After moving from home stadium to neutral venue in 2020 season, goal, shot, shot on target, shot from outside box, shot from inside box, shot on target from inside box, corner kick, key pass, cross, breakthrough, tackle decreased significantly (p < 0.05), while yellow card and foul increased steeply (p < 0.05). Comparing with playing away match, in neutral venue, free kicks and pass accuracy enhanced radically (p < 0.05), while tackle, clearance and block shot dropped noticeably (p < 0.05). CONCLUSION: When removing HA and playing in the neutral venue, teams' performance dropped significantly. This study confirmed the positive impact of HA on the teams' performance and may help elite football teams make proper playing strategies regarding different match locations.
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Covid-19 pandemic affected aviation severely, resulting in unprecedented reduction of air traffic. While aviation is slowly re-gaining traffic volumes, we use the opportunity to study the arrival performance in the Terminal Maneuvering Area (TMA) in non-congested scenarios. Applying flight efficiency and environmental performance indicators (PIs) to the historical data of arrivals to Stockholm Arlanda and Gothenburg Landvetter airports, we discover noticeable inefficiencies, despite significant reduction of traffic intensity. We analyze the impact of such factors as weather and traffic intensity on arrival efficiency in isolated scenarios when only one factor dominates: isolated scenario with low traffic and isolated scenario with good weather conditions. Our analysis uncovers that weather has a stronger influence than traffic intensity on the vertical efficiency, while traffic intensity has stronger effect on the lateral efficiency. Impact of traffic intensity on the lateral efficiency might be explained by frequent hold-on patterns and flight trajectory extensions due to vectoring in high traffic conditions. Further investigation is needed to explain weather and vertical/lateral efficiency correlations, the conclusions might be country-specific.
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2019 yılının ikinci yarısında Çin’de ortaya çıkan ve geçtiğimiz iki yıl boyunca, bütün dünyada ve ülkemizde etkisini gösteren Koronavirüs salgını, dünyada gelmiş geçmiş en büyük felaketi ve krizi insanoğluna yaşatmaya devam etmektedir. Salgın sebebiyle ortaya çıkmış olan krizi en ez zararla atlatabilmek için yapılan çalışmalar artarak devam etmekte olup, küresel anlamda aşının yaygın hale gelmesiyle salgına çözüm oluşturulabileceği bilim insanları tarafından dile getirilmektedir. Bu çalışma ile 2020 ve 2021 yıllarında dünyada ve ülkemizde daha önce hiç karşılaşılmayan düzeyde bir ekonomik ve sosyal durgunluğun ortaya çıkmasına sebep olan salgının Türkiye üzerine etkilerinin incelenmesi hedeflenmiştir. Çalışmada BIST kurumsal yönetim endeksi (XKURY) ve BIST Bankalar endeksinde (XBANK) yer alan toplam 11 bankanın verileri kullanılmıştır. Salgının dünyaya yayılmaya başladığı dönem “4Ç2019” olarak kabul edilmiştir. Bu sebeple çalışmaya salgın öncesindeki 5 çeyrek dönemle, salgın sürecindeki 5 çeyrek dönemin verileri analize dahil edilmiştir. n örnek sayısının 30’dan küçük olması ve aynı örneklem grubunda yer alan bankaların, farklı çeyrek dönemlerde yapılan, aktif karlılık, kaldıraç oranı, özkaynak karlılığı, kredi/mevduat oranı ve özkaynak / toplam varlık oran ölçümlerinin ortalamalarının göz önüne alınıp karşılaştırma yapılması sebebiyle istatistiksel analizlerde bağımlı örneklemler t testi kullanılmıştır. Íncelemeler sonucunda, çalışmaya konu olan bütün finansal performans göstergeleri için, salgın öncesi ve salgın sürecindeki dönemlerin arasında anlamlı farkların meydana geldiği istatistiksel olarak görülmüştür.Alternate : The Corona virus pandemic, which emerged in China in the second half of 2019 and affected the whole world, including our country, for the past two years, continues to cause humanity to experience the greatest disaster and crisis ever in the world. Studies to overcome the crisis that has arisen due to the pandemic with the least damage continue, and scientists state that a solution to the pandemic can be created with the spread of the vaccine globally. It is aimed to examine the effects of the pandemic on Turkey, which caused an unprecedented level of economic and social recession in the world and in our country in 2020 and 2021. Data of 11 banks in the BIST corporate governance index (XKURY) and BIST Banks index (XBANK) are included in the study. The period when the pandemic started to spread around the world was accepted as “Q42019”. Then, the data of the 5 quarters before the pandemic and the 5 quarters during the epidemic process were included in the analysis. The number of samples is less than 30 and the averages of financial performance criteria such as return on assets, leverage ratio, return on equity, loan/deposit ratio, and equity/total asset ratios of banks in the same sample group will be compared hence paired samples t-test was preferred in the analysis. As a result of the analyzes, it was determined that there were statistically significant differences between the periods before and during the pandemic for all financial performance indicators that were the subject of the study.
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The purpose of our work is to improve the performance of business processes. Our contribution consists of proposing an approach to defining key performance indicators for a set of well-defined objectives. To test our approach, we defined a set of objectives and KPIs, and then we elaborated a survey to match the objectives to different specific KPIs. This survey is applied to the case study of a COVID-19 care process and is dedicated to the members of Farhat Hached's crisis unit. In addition, we have developed a web application dedicated to the crisis unit. This application allows to: (1) add the objectives and to manage the KPIs, (2) assign the objectives to the KPIs, (3) display a comparative table of the values of the KPIs, (4) present a histogram for each KPI. Moreover, through this prototype we can (5) know the percentage of the achievement of the objectives. Furthermore, we used the DMN, based on the Signavio tool. Indeed, the use of DMN in our work consists first in matching the objectives to the KPIs, then placing the decision rules based on the threshold values of the KPIs, entering the observed values, and finally obtaining the result about the achievement of the objectives. © 2022 CURRAN-CONFERENCE. All rights reserved.
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The COVID-19 pandemic has contributed to un-precedented rates of unemployment and greater uncertainty in the job market. There is a growing need for data-driven tools and analyses to better inform the public on trends within the job market. In particular, obtaining a 'snapshot' of available employment opportunities mid-pandemic promises insights to inform policy and support retraining programs. In this work, we combine data scraped from the Canadian Job Bank and Numbeo globally crowd-sourced repository to explore the relationship between job postings during a global pandemic and Key Performance Indicators (e.g. quality of life [QOL] index, cost of living) for major cities across Canada. This analysis aims to help Canadians make informed career decisions, collect a 'snapshot' of the Canadian employment opportunities amid a pandemic, and inform job seekers in identifying the correct fit between the desired lifestyle of a city and their career. We collected a new high-quality dataset of job postings from jobbank.gc.ca obtained with the use of ethical web scraping and performed exploratory data analysis on this dataset to identify job opportunity trends. When optimizing for average salary of job openings with QOL, affordability, cost of living, and traffic indices, it was found that Edmonton, AB consistently scores higher than the mean, and is therefore an attractive place to move. Furthermore, we identified optimal provinces to relocate to with respect to individual skill levels. It was determined that Ajax, Marathon, and Chapleau, ON are each attractive cities for IT professionals, construction workers, and healthcare workers respectively when maximizing average salary. Finally, we publicly release our scraped dataset as a mid-pandemic snapshot of Canadian employment opportunities and present a public web application that provides an interactive visual interface that summarizes our findings for the general public and the broader research community. © 2022 IEEE.