Electronic Management System Research Articles

A survey of the opinions of faculty members in the College of Basic Education on the use of the electronic education management system (Moodle) to face the repercussions of Corona virus

A survey of the opinions of faculty members in the College of Basic Education on the use of the electronic education management system (Moodle) to face the repercussions of Corona virus

Review of 1.75 million referrals over 34 months identifies the disruptive impact of the SARS-CoV-2 pandemic on oral surgery care in England: a service evaluation.

Aims This study aimed to use electronic referral management system (eRMS) oral surgery data across multiple sites in England to evaluate the service over a 34-month period in relation to: 1) pre- and post-pandemic referral rates in oral surgery; 2) examining the data for signs of inequality in obtaining a referral for oral surgery; and 3) considering the impact on service provision for oral surgery in England.Methods Oral surgery referral data were available from an eRMS for areas of England covered by this service for the 34-month period of March 2019 to December 2021 (inclusive), which included 12 months of pre-pandemic data and the first 22 months of the pandemic. The data were from the following regions in England: Central Midlands; Cheshire and Merseyside; East Anglia and Essex; Greater Manchester; Lancashire; Thames Valley; and Yorkshire and the Humber.Results The total number of referrals received was 1,766,895 during this 34-month period, with pre-pandemic referral levels averaging at 25,498 per month, with a reduction to 698 per month in April 2020. Referrals have risen to a peak of 217,646 for the month of November 2021. An average of 1.5% of referrals were rejected pre-pandemic, compared with 2.7% per month post-pandemic.Discussion Pre-pandemic referral numbers were predictably stable within a narrow range which have then increased dramatically post-pandemic. The variations in oral surgery referral patterns place significant strain on oral surgery services across England. This not only has consequences on the patient experience, but also on workforce and workforce development, to ensure that there is not a long-term destabilising impact.Conclusion Analysis of 1.75 million referrals to oral surgery services in England has highlighted the ongoing impact of the pandemic and the need to actively minimise adverse impacts on patients, NHS services and the workforce.

Measures by Organisations to Counter Challenges in the Use of Information Technology in Protecting Personal and Business Data in Nairobi County, Kenya

Globally, most states have adopted new technologies that have seen many process improvements and cost optimisations and enabled them to provide value-added services to their citizens, thereby improving quality of life and achieving rapid growth and development in various sectors of the nation. Kenya is one of the developing countries that has benefited from adopting modern ICT in recent years. Despite government efforts to ensure the successful integration of ICT into various state departments and the private sector to protect and manage data, cases of document loss from individuals and institutions have been on the rise. This paper examined measures by organisations that could be adopted to counter challenges in using information technology to protect personal and business data in Nairobi County. The study’s target population comprised employees from Kenya Revenue Authority and Kenya Data Networks in Nairobi headquarter offices, police officers deployed at NPS offices headquarters and members of the public. The findings established that implementing electronic data management systems in organisations was more appropriate for controlling data loss. In addition, training employees on using the data management system is critical in preventing data loss in an organisation. Creating awareness of electronic data management systems was an effective measure to protect against data loss among organisations. Based on the findings, the paper concludes that strategies that help solve information challenges must be implemented to prevent data loss at personal and organisational levels.

The analysis of the electronic customer relationship management system based on marketing performance and knowledge management of the company using the Fuzzy cognitive map approach

The analysis of the electronic customer relationship management system based on marketing performance and knowledge management of the company using the Fuzzy cognitive map approach

Endocrine Abnormalities in Children With Traumatic Brain Injury at a Tertiary Care Center.

Objective Accidental traumatic brain injury (TBI) can lead to severe complications such as endocrine abnormalities and long-term morbidities and can negatively impact patient lives. These conditions are also associated with a high cost of treatment over a lifetime, a significant concern in low-to-middle-income countries (LMICs). In Pakistan, the prevalence of children with endocrine abnormalities secondary to TBI remains largely unexplored. We conducted a retrospective cross-sectional study to estimate the burden of endocrine abnormalities due to TBI among children in our population. Methods Twenty patients previously admitted with head injury between September and October 2019 were retrospectively reviewed with tests for baseline serum sodium, plasma osmolality, cortisol, adrenocorticotropin (ACTH), free thyroxine (fT4), growth hormone (GH), insulin growth factor-1 (IGF-1), follicle-stimulating hormone (FSH), luteinizing hormone (LH), thyroid-stimulating hormone (TSH), prolactin, estradiol, and testosterone. Data were collated from the electronic Health and Information Management System (HIMS) and analyzed using SPSS v25. Chi-square and t-tests were used to identify associations between variable groups. Outcomes of interest included correlations between hormonal levels and demographic factors, interventions and hormonal levels, and complication rates and hormonal levels. Results Our study reports three (15% of the total cohort) patients with pituitary hormone deficits (two with low IGF-1 and one with low TSH). High serum IGF-1 and ACTH levels were also observed in three (15%) children. High IGF-1 was associated with female gender (p=0.007), mechanical ventilation (p=0.038), and falls (p=0.028). IGF-1 (p=0.035) and GH (p=0.049) levels were associated with improvement in Extended Glasgow Outcome Scale (GOS-E) score. Testosterone was positively correlated with a high percentile for height (p=0.005) and GOS-E scores on follow-up (p=0.030). High testosterone levels (592.12 ± 102.28 ng/dl) were associated with good functional outcomes in post-pubescent patients (p<0.05). Serum fT4 was linked with a high GOS-E score at discharge in prepubescent patients (p=0.034). Neurosurgical decompression was the only risk factor for hormone deficiency, comprising 67% of the group with hormone deficiencies (p=0.028). The learning difficulties were observed exclusively in children with hormonal deficiencies (7 patients, p=0.000). Conclusion Hormonal dysfunction due to TBI in children can lead to poor outcomes. High serum IGF-1, testosterone, and free T4 levels were associated with improved functional outcomes in children with TBI. Limited follow-up and resources in LMICs are significant barriers to addressing the morbidity associated with these conditions and need to be addressed at a health policy level.

Sociotechnical factors of sustainable digital health systems: A system dynamics model

BackgroundThe introduction of digital health technology in a healthcare facility results in emergent and recursive interactions between new technology and existing social systems, technologies, and operating environments. ObjectivesThe study aims at developing a sociotechnical system dynamics model of digital health systems to assess the influence of sociotechnical factors on the sustainable use of an electronic Health Information Management System (eHMIS). MethodsA total of 40 face-to-face interviews in 18 healthcare facilities and two separate sessions of focus group discussions were conducted to study eHMIS implementation in Ethiopia. A system dynamics modelling of digital health systems implementation is developed, tested and verified with a case of eHMIS implementation in Ethiopia. ResultsThe long-term sustainability of the digital health system requires acceptance of technology, improved information quality to make appropriate decisions and better end-user satisfaction. The ‘individuals’ intention to use’ drives technology acceptance in the early years of the eHMIS use and social factors in the later stage. Besides, the role of technology to improve work performance determines the level of users’ satisfaction. The effort of improving ‘information quality’ is strongly influenced by the quality systems, i.e., reliable, easy to use, and capable to meet end-user requirements. ConclusionsThe system's acceptance was improved through effective training and communication, whereas the ‘information quality’ was enhanced through ‘system quality’ and users’ satisfaction. The ability of technology to improve work performance and reduce the burden on end-users has increased the satisfaction of end-users.

Investigation of changes in ankylosing spondylitis disease activity through 2021 COVID-19 wave in Taiwan by using electronic medical record management system

We aim to investigate the alteration in disease activity of ankylosing spondylitis (AS) individuals before, during, and after the COVID-19 wave in Taiwan by using electronic medical-record management system (EMRMS). We identified 126 AS individuals from the single center, and gathered data of the three disease activities (Bath Ankylosing Spondylitis Disease Activity Index [BASDAI], Ankylosing Spondylitis Disease Activity Score with erythrocyte sedimentation rate [ASDAS-ESR], and Ankylosing Spondylitis Disease Activity Score with C-Reactive Protein [ASDAS-CRP]) by using EMRMS before (7 February to 1 May, 2021), during (2 May to 24 July, 2021), and after the COVID-19 wave (25 July to 16 October, 2021). We compared the disease activity measures of the three phases through a paired t test. Among the 126 individuals, CRP was significantly higher during the COVID-19 wave (0.2 (0.1, 0.5) mg/dl, p = 0.001) than before the wave (0.2 (0.1, 0.4) mg/dl), ESR (8.0 (4.0, 15.0) mm/h, p = 0.003) and ASDAS-ESR (1.4 (1.0, 1.9), p = 0.032) were significantly higher after the wave than during the wave (6.0 (3.0, 12.0) mm/h and 1.2 (0.9, 1.8) mm/h) e. ESR, CRP, ASDAS-ESR and ASDAS-CRP were all significant higher after COVID-19 wave than before. The disease activities of AS individuals in Taiwan worsened after 2021 COVID-19 wave in Taiwan.

A secure communication using multifactor authentication and key agreement techniques in internet of medical things for COVID‐19 patients

AbstractCurrently, Internet of Medical Things (IoMT) gained popularity because of an ongoing pandemic. A few developed countries plan to deploy the IoMT for improving the security and safety of frontline workers to decrease the mortality rates of COVID‐19 patients. However, IoMT devices share the information through an open network which leads to increased vulnerability to various attacks. Hence, electronic health management systems remain many security challenges, like recording sensitive patient data, secure communication, transferring patient information to other doctors, providing the data for future medical diagnosis, collecting data from WBAN, etc. In addition, the sensor devices attached to the human body are resource‐limited and have minimal power capacity. Hence, to protect the medical privacy of patients, confidentiality and reliability of the system, the register sensor, doctor and server need to authenticate each other. Therefore, rather than two factors, in this work, a multifactor authentication protocol has been proposed to provide more secure communication. The presented scheme uses biometric and fuzzy extractors for more security purposes. Furthermore, the scheme is proved using informal and formal security verification BAN logic, ProVerif and AVISPA tools. The ProVerif simulation result of the suggested scheme shows that the proposed protocol achieves session key secrecy and mutual authentication

ОРГАНІЗАЦІЯ ВНУТРІШНЬОГОСПОДАРСЬКОГО КОНТРОЛЮ В АГРАРНИХ ПІДПРИЄМСТВАХ ТА ЙОГО ВДОСКОНАЛЕННЯ

The article discusses the features of organizing on-farm control in agricultural enterprises. To begin with, we examined the development of the agricultural sector in Ukraine in recent years and the impact of the war on it. It was the agricultural sector that proved to be the most resilient during the war and supported the economy of our country in more difficult times. It has been studied that the agricultural sector in Ukraine is developing at a rapid pace, which is why it is necessary to use and implement an effective system of on-farm control. The Ukrainian government should develop the agricultural sector and focus on building effective government programs to stimulate exports and maximize government support. Next, we analyzed the essence of on-farm control over the interpretations of various scientific researchers and determined the most appropriate interpretation, in our opinion. It has been determined that on-farm control is a system of methods and procedures carried out by company management in accordance with current legislation and internal regulations, contributing to the improvement of production and economic activities and the high-quality implementation of management decisions and job responsibilities by employees. For agricultural companies, on-farm accounting is extremely important, because management needs to monitor all business processes, which start from the purchase of materials and end with the sale of finished products. As a result, we proposed an electronic digital control program "Digital Company", which should help optimize costs in all business processes and departments of agricultural enterprises. Without organizing effective work of on-farm control, it is impossible to achieve the implementation of any socio-economic development strategy for the future. In addition, it should be noted that on-farm control, acting as a source of information, largely makes it possible to determine the adoption of management decisions. Therefore, on-farm control acts as a significant element of the economic security system in agricultural enterprises, and the "Digital Company" electronic management system we propose will allow you to quickly see a holistic picture of all business processes of an agricultural enterprise.

Скрининговая диагностика психоэмоционального состояния обучающихся в системе высшего образования

Positive emotional state of students in the system of higher education is one of the most important factors that contribute to good mental health, the development of educational programs and the prevention of aggressive and deviant behavior of students. One of the determining factors of whether or not young people will have mental health issues is the early detection of psycho-­­emotional disorders of students in order to develop an algorithm for appropriate psychological support. The study aims at assessing the possibilities and prospects of screening psychological diagnostics of university students remotely. The study was first conducted through the electronic learning management system (LMS). Psycho diagnostics revealed a significant level of anxiety in the examinees at the subclinical level of severity, certain dynamics of anxiety disorders and depression of students of different years of study, as well as manifestations of different forms of aggressive behavior. The received data allow to conclude that timely psychological online screening allows to provide early detection of psychological issues, develop an algorithm of actions and support intradepartmental and out-of-departmental interaction.

Data collection and outcome measurement in student counseling services in Irish higher education institutions: Counselors’ views on challenges and facilitators.

With increasing concerns around student mental health, student counseling services (SCSs) in higher education are being challenged to show evidence of their contribution to the personal and academic development of students through evidence-based approaches including systematic data collection and standardized outcome measurement. This study aims to document data collection and measurement processes in SCSs in higher education institutions (HEIs) in Ireland and to explore the opinions of staff in SCSs on the feasibility and functionality of a standardized national database for SCSs to enhance robust data collection and measurement across the sector. Twenty-three interviews were conducted and thematically analyzed with staff in SCSs in 22 HEIs (85% of publicly funded HEIs). Findings revealed that the process of data collection in SCSs is mainly focused on individual counseling with variations among SCSs in collecting clients' demography, presenting issues, and clinical and educational outcomes. Lack of human and financial resources, no access to an electronic data management system, negative opinions about standardized outcome measures, and concerns over data protection and misuse of data were impeding factors for systematic data collection in SCSs. There is strong support among SCSs for the establishment of a national database which is facilitated by secured funding from the Higher Education Authority, a strong sense of community and trust among student counselors, and a history of data collection through the Psychological Counsellors in Higher Education Ireland association. Findings offer insights into challenges and facilitators for robust data collection and measurement at a national level. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

형사 전자소송과 형사사법정보

This essay aims to review the criminal justice data from the point of digitalization of the criminal justice process and electronic criminal trial, which is to be put into practice by the year of 2024.&#x0D; The Act on Promotion of the Digitalization of the Criminal Justice System of 2010, amended in 2021 has been enacted to achieve promptness, fairness and transparency in a criminal justice procedure by promoting the digitalization of the criminal justice procedure and to contribute to the extension of citizens’ rights and interests by improving services to citizens in the area of criminal justice. In related to the 2020 Act, the new Act on the Use of Electronic Documents in the Criminal Justice System of 2021 was enacted to implement electronic criminal trial.&#x0D; The term “criminal justice information” means any information that is generated, acquired, or managed by a criminal justice agency through a criminal justice information system in relation to the conduct of criminal justice affairs, and that is expressed in the form of codes, letters, voice, sound, images by means of electronic processing, and the term “criminal justice information system” means an electronic management system built on combining hardware, software, databases, networks, security components, etc. for the use by a criminal justice agency to generate, acquire, store, transmit, or receive criminal justice information. When the criminal justice information are digitalized, they will be “Criminal Justice Data”, which will be the basis of digital criminal justice.&#x0D; For the digitalization of criminal justice process, criminal justice agencies have both duty to cooperate for stable operation of systems, and duty to cooperate in joint use of information. The keys to the successful implementation of digital criminal justice system and the development of the future electronic criminal trial are the organization of cooperative system for the Criminal Justice Information System, and the promotion of attentionability to human rights and security in the matters of criminal justice data.

Department of Computer Science &amp; Information Technology Igbinedion University Okada, Edo State, Nigeria.

Impact of E-Learning Management Systems During Covid-19 Pandemic *Osaremwinda Omorogiuwa, Abdul Farida &amp; Ohiagu Kingsley Department of Computer Science &amp; Information Technology Igbinedion University Okada, Edo State, Nigeria. *Corresponding Author E-mail: ask4osas@iuokada.edu.ng ABSTRACT The essence of this study is to provide a comprehensive review of the impact of e-learning in universities during the COVID-19 pandemic which led to the closure of schools around the world. In other to continue learning most universities had to adopt the e-learning approach, which made it possible for their students to remotely access lecture materials, attend virtual classrooms at the comfort of their homes with the use of electronic Learning Management Systems (eLMS). This new mode of learning which was abruptly adopted by most universities had its challenges despite its gains during the pandemic. This research is to subjectively analyse the impact of eLMS during Covid 19 pandemic using some software quality attributes such as efficiency, effectiveness, flexibility and usability. To this end, a structured questionnaire was developed using these variables and distributed both physically and electronically to students in three universities in Edo State. An empirical data of 638 students participated from the different universities. The results showed that the ease of use and perceived efficiency positively correlated with facilitating information Technology infrastructure, adaptation, and self-efficacy, which in turn affects the actual use of the e-learning system during the COVID-19 pandemic. Keywords: eLMS, COVID-19 Pandemic, Software Quality, E-learning, Education in pandemic

Multi-category classification of left ventricle ejection fraction using a convolutional neural network

Abstract Background Screening for left ventricular (LV) systolic dysfunction (defined as ejection fraction ≤35%) based on data from a standard 12-lead electrocardiogram (ECG) has become well established when standard digital ECGs are available–8 independent leads sampled at least 250 hertz for 10 seconds. As the algorithm has been incorporated into various clinical scenarios and ancillary research projects, a limitation of the binary classification at 35% has become apparent. Purpose The objective of this study was to develop and validate a deep learning-based algorithm that would classify LVEF into three categories based on only the digital ECG input. Methods After IRB approval, native digital resting ECGs acquired between 1/1/2010 and 12/31/2021 on patients seen in Mayo Clinic in Jacksonville were extracted from the institutional electronic ECG database management system (MUSE, GE Healthcare). These ECGs were matched with transthoracic echocardiograms obtained up to four days prior or 30 days after the ECGs acquisition. A convolutional neural network consisting of 8 layers of convolutions, batch normalization and pooling was trained using Keras and Tensorflow with hyper-parameter optimization for L1 and L2 regularization, learning rate adjustments, and class weights to predict three classes of LVEF: ≤35%, 36–51%, and ≥52% based on clinical relevance. The primary measure of overall performance was the detection of LVEF ≤35%; however, the triad of model predictions was also considered in translating the model output to human interpretable findings. Results A total of 30,153 patients (60,169 ECG pairings; mean age 63 years; 48% male) were randomly split at the patient level into training (24,172 patients), validation (2,973 patients) and testing (3,008 patients). The trained model provided robust discrimination in the withheld testing data – AUROC of 0.941 (95% CI: 0.931 to 0.950). Using the optimal model threshold based on Youden's index from the validation data (0.186), sensitivity and specificity were estimated to be 87.9% (95% CI: 83.8% to 91.2%) and 86.3% (95% CI: 85.4% to 87.2%) in the testing data. In instances where discordant predictions were observed, the posterior distribution of model probabilities provide additional insights into the possible underlying value of LVEF (Figure 1). Conclusions The utilization of a multi-category deep learning classification model for the detection of reduced ejection fraction adds new dimensions to the use of AI technologies on digital ECGs. This work shows high discrimination can still be obtained when using three classes of LVEF. Funding Acknowledgement Type of funding sources: None.

Assessment of facility-level antiretroviral treatment patient status utilizing a national-level laboratory cohort: Toward an understanding of system-level tracking and clinic switching in South Africa.

Most estimates of HIV retention are derived at the clinic level through antiretroviral (ART) patient management systems, which capture ART clinic visit data, yet these cannot account for silent transfers across HIV treatment sites. Patient laboratory monitoring visits may also be observed in routinely collected laboratory data, which include ART monitoring tests such as CD4 count and HIV viral load, key to our work here. In this analysis, we utilized the NHLS National HIV Cohort (a system-wide viewpoint) to investigate the accuracy of facility-level estimates of retention in care for adult patients accessing care (defined using clinic visit data on patients under ART recorded in an electronic patient management system) at Themba Lethu Clinic (TLC). Furthermore, we describe patterns of facility switching among all patients and those patients classified as lost to follow-up (LTFU) at the facility level. Of the 43,538 unique patients in the TLC dataset, we included 20,093 of 25,514 possible patient records (78.8%) in our analysis that were linked with the NHLS National Cohort, and we restricted the analytic sample to patients initiating ART between 1 January 2007 and 31 December 2017. Most (60%) patients were female, and the median age (IQR) at ART initiation was 37 (31-45) years. We found the laboratory records augmented retention estimates by a median of 860 additional active records (about 8% of all median active records across all years) from the facility viewpoint; this augmentation was more noticeable from the system-wide viewpoint, which added evidence of activity of about one-third of total active records in 2017. In 2017, we found 7.0% misclassification at the facility-level viewpoint, a gap which is potentially solvable through data integration/triangulation. We observed 1,134/20,093 (5.6%) silent transfers; these were noticeably more female and younger than the entire dataset. We also report the most common locations for clinic switching at a provincial level. Integration of multiple data sources has the potential to reduce the misclassification of patients as being lost to care and help understand situations where clinic switching is common. This may help in prioritizing interventions that would assist patients moving between clinics and hopefully contribute to services that normalize formal transfers and fewer silent transfers.

OGBN P14 The development, introduction and outcomes of an electronic, patient record-based, Morbidity and Mortality (M&amp;M) reporting system

Abstract Background Recording of patient complications and outcomes has suffered from the lack of a standardised reporting system. The aim of this project was to develop and introduce within our health board a generic M&amp;M reporting tool for all surgical and medical specialities which would allow agreed outcomes and actions, following open discussion at M&amp;M meetings, to be documented in the electronic patient record (EPR). Methods TrakCare® (Intersystems) is the electronic patient management system used within our region to record and store information for patient consultations, investigations and treatments. The criteria felt essential were for a reporting system that was suited to all disciplines, accessible to all levels of staff, interlinked between specialities and allowed analysis and reporting of outcomes. Access to all aspects of the EPR including results and imaging should be available during the M&amp;M meeting to facilitate informed discussion. Agreement was reached on the required drop down menus which included patient details, background/event timeline, death certification, end-of-life care, clinical governance, lessons learned and actions and outcomes. ICD-10 codes were used for diagnosis and OPCS-4 coding for procedures. A complication list was developed with word recognition of either the organ system or the complication. Complications were graded according to the Clavien-Dindo classification. All entered data was analysed using Business Intelligence. Results The development process lasted 9 months with the input of the author and programmers from the TrakCare® team. The system was first introduced in September 2017 within the general surgical unit. 1855 patients have been discussed at the general surgical M&amp;M meetings using the system. Since introduction, an additional 37 specialities have adopted the electronic M&amp;M reporting tool. To date 4859 patients in total have been discussed. The introduction of the system has resulted in additional improvements to the M&amp;M process including the requirement for a designated chairperson, a meeting attendance record and documentation of actions and outcomes from meetings. Automatically generated reports show all outstanding actions and recommendations identified at M&amp;M meetings to ensure that the full process is completed. Conclusions The widespread adoption of a standardised M&amp;M reporting tool clearly shows the willingness of care providers to engage in open discussion and learning from M&amp;M meetings. The introduction of a standardised electronic reporting tool has led to additional improvements in the M&amp;M process.

Development of Digital Administrative Services in the Republic of Bulgaria

The article presents part of the results of a study of the state of e-government and digital administrative services in Bulgaria. The study was conducted within the framework of scientific research contract No. NID NI-7/2020 of the UNSS on the topic: Study and analysis of electronic governance and digital administrative services in the Republic of Bulgaria. The main goal of the project is: by studying the research and components of e-government systems worldwide, to analyze the system of e-government and the provided digital administrative services in the Republic of Bulgaria and to create a model of key indicators, in view of the prospects for their development. The object of the study is electronic governance and digital administrative services in the Republic of Bulgaria. The subject of research is the organizations from the public sector in the Republic of Bulgaria, which participate in the electronic management system and provide digital administrative services.

Determining the requirements of a medical records electronic deficiency management system: a mixed-method study

PurposeDespite the presence of electronic medical records systems, traditional paper-based methods are often used in many countries to document data and eliminate medical record deficiencies. These methods waste patient and hospital resources. The purpose of this study is to evaluate the traditional deficiency management system and determine the requirements of an electronic deficiency management system in settings that currently use paper records alongside electronic hospital information systems.Design/methodology/approachThis mixed-method study was performed in three phases. First, the traditional process of medical records deficiency management was qualitatively evaluated. Second, the accuracy of identifying deficiencies by the traditional and redesigned checklists was compared. Third, the requirements for an electronic deficiency management system were discussed in focus group sessions.FindingsProblems in the traditional system include inadequate guidelines, incomplete procedures for evaluating sheets and subsequent delays in activities. Problems also included the omission of some vital data elements and a lack of feedback about the documentation deficiencies of each documenter. There was a significant difference between the mean number of deficiencies identified by traditional and redesigned checklists (p < 0.0001). The authors proposed an electronic deficiency management system based on redesigned checklists with improved functionalities such as discriminating deficiencies based on the documenter’s role, providing systematic feedback and generating automatic reports.Originality/valuePrevious studies only examined the positive effect of audit and feedback methods to enhance the documentation of data elements in electronic and paper medical records. The authors propose an electronic deficiency management system for medical records to solve those problems. Health-care policymakers, hospital managers and health information systems developers can use the proposed system to manage deficiencies and improve medical records documentation.

The Teachers' Selection of The Use of Learning Management Systems in Teaching and Learning

&lt;p&gt;&lt;em&gt;The selection of a website as a reference for learning directly affects the quality of information for the person who accesses it. The objectives and expected results of the learning management system depend on the quality of the teaching process and its effectiveness in online access. This research is expected to support teachers who carry out the teaching and learning process virtually during the pandemic. The research method used is quantitative, with a descriptive approach for evaluating, ranking, and choosing the learning management system. Based on the research survey, the criteria for analysis of the LMS platforms in this paper are summarized in three categories: learning skills tools, communication within LMS tools, and ease of use tools. The main goal is to present a comparative analysis of 5 electronic learning management systems. From the teachers' view in this research, only one LMS supports all three categories. The critical criteria of LMS are supported by video conference, chat room for personal discussion, and simple to use.&lt;/em&gt;&lt;/p&gt;

New Solutions of Fractional Jeffrey Fluid with Ternary Nanoparticles Approach

The existing work deals with the Jeffrey fluid having an unsteady flow, which is moving along a vertical plate. A fractional model with ternary, hybrid, and nanoparticles is obtained. Using suitable dimensionless parameters, the equations for energy, momentum, and Fourier's law were converted into non-dimensional equations. In order to obtain a fractional model, a fractional operator known as the Prabhakar operator is used. To find a generalized solution for temperature as well as a velocity field, the Laplace transform is used. With the help of graphs, the impact of various parameters on velocity as well as temperature distribution is obtained. As a result, it is noted that ternary nanoparticles approach can be used to increase the temperature than the results obtained in the recent existing literature. The obtained solutions are also useful in the sense of choosing base fluids (water, kerosene and engine oil) for nanoparticles to achieved the desired results. Further, by finding the specific value of fractional parameters, the thermal and boundary layers can be controlled for different times. Such a fractional approach is very helpful in handling the experimental data by using theoretical information. Moreover, the rate of heat transfer for ternary nanoparticles is greater in comparison to hybrid and mono nanoparticles. For large values of fractional parameters, the rate of heat transfer decreases while skin friction increases. Finally, the present results are the improvement of the results that have already been published recently in the existing literature. Fractional calculus enables us to control the boundary layers as well as rate of heat transfer and skin friction for finding suitable values of fractional parameters. This approach can be very helpful in electronic devices and industrial heat management system.