Request Management Research Articles

Pharmacist vs physician management of e-visit requests for COVID-19 medication: A randomized clinical trial.

Electronic visits (e-visits), defined as structured asynchronous electronic messages between patients and clinicians requiring clinical decision-making, are being increasingly used to enhance access to outpatient health care services, but the primary care physicians who typically manage them face work overflow. Pharmacists have been proposed to manage e-visits that lead to prescription requests, but scant evidence exists about the effectiveness of this approach. To compare pharmacist management of structured asynchronous e-visit requests for COVID-19 medication with physician management regarding quality of care, timeliness, and patient care experience. This cluster-randomized clinical trial included adults from 17 medical facilities of Kaiser Permanente Northern California who made e-visits requesting COVID-19 medication (nirmatrelvir-ritonavir) from October 9 to December 11, 2023. In the Pharmacist Care group, a regional team of pharmacists managed e-visits for COVID-19 medication; in the Physician Care group, pools of adult and family medicine physicians managed these visits. The primary outcome was whether a patient with 1 or more potential serious drug-drug interactions received counseling via an electronic secure message. Secondary outcomes included prescribing rates, time to the prescription, and patient perceptions of care quality. Among the 1,753 eligible patients (mean age = 52.2 [SD = 15.9] years; 57.7% female), 642 received Pharmacist Care and 1,111 received Physician Care. The percentage of patients with a potential drug-drug interaction who were sent counseling messages by the clinician did not differ between the Pharmacist Care (76 of 79 [96.2%]) and Physician Care groups (193 of 201 [96.0%]) (risk difference [RD] = 0.18%; 95% CI = -4.8% to 5.2%). The pharmacist and physician groups had similar rates of prescribing (87.4% vs 84.4%; RD = 2.9; 95% CI = -0.4 to 6.3). Pharmacist Care compared with Physician Care had faster mean time from the initial e-visit submission to the resulting prescription (1.0 vs 2.5 hours; RD = -1.5; 95% CI = -1.9 to -1.2). Pharmacist Care took more clinician time per visit than Physician Care (10.7 vs 4.2 minutes), resulting in higher estimated cost ($11.40 vs $6.70). After the study period, the pharmacist team made protocol changes to improve workflow efficiency, and a follow-up analysis 12 months later found significant reductions in per-visit time (to 5.7 minutes) and estimated cost (to $6.03) under Pharmacist Care. Patient perceptions of care did not differ significantly between groups. Pharmacist care and physician care for patient e-visits for COVID-19 medication both yielded high quality of care, with no significant group differences. Evaluation of pharmacist care may be warranted for other e-visits designed to facilitate medication prescribing. ClinicalTrials.gov NCT06096863.

Birth/Death Registration Integration with Services

The “Birth/Death Registration Integration with Ser- vices” Android application is designed to modernize and streamline the process of registering and managing birth and death certificates. This system features three distinct user roles: Admins, Users, and Workers. Admins oversee request management, assign tasks, and upload finalized certificates. Users can register, submit requests for certificates, and track their application statuses, while Workers are responsible for verifying requests and updating their progress in real-time. By digitizing these processes, the system reduces administrative burden, enhances transparency, and improves service accessibility. The project employs a secure, centralized architecture to address inefficiencies in traditional methods, ensuring robust and reliable service delivery

Critical Analysis of Foundational Challenges in Modern Healthcare Systems

The various components of the present-day healthcare delivery system are multidimensional and require a vigorous response to the request for effective healthcare delivery, management and direction of healthcare workers, and formulation of policies and strategies on the use of technology, among others. This paper examines a few of the foundational issues all healthcare systems experience, which stifle their efficiency as healthcare advances. This paper critically evaluates the following significant challenges facing twenty-first-century healthcare: Workforce Challenges, Service Delivery, Financial Viability and Technological Incorporation. Based on the effects of these challenges on the quality and availability of health services, this paper provides solutions to these challenges to enhance the quality of health care around the globe. Recent and case studies are explored, and their findings are described to provide an overall view of these problems and their possible solutions.

Efficient access requests management for healthcare data with security and privacy-preserving

Efficient access requests management for healthcare data with security and privacy-preserving

Designing a User-Friendly Data Request Management System for a Growing Health Data Network - A Case Study in the AKTIN Registry.

The AKTIN Emergency Department Registry, a German health data network, faces operational challenges due to rapid growth. Manual data request processes have become inefficient, hindering timely research and straining personnel. To address these challenges, we undertook a user-centered analysis utilizing Design Thinking principles to identify pain points and functional requirements in current data request creation and management processes. Future work will prioritize iterative implementation of the created concepts with continuous user engagement and rigorous software validation.

Role of the Nursing Professional in Euthanasia: A Qualitative Systematic Review

Background Until the date of the search, Euthanasia was legally accepted in 5 countries: the Netherlands, Belgium, Luxembourg, Canada and Colombia. Objective We aimed to identify the role of nurses in euthanasia based on articles published both nationally and internationally between 2014 and 2022. Methods Qualitative and quantitative studies, editorials, literature reviews and Colombian regulations were included. Publications that did not meet the criteria of the Strengthening the Reporting of Observational Studies in Epidemiology statement and the Spanish Critical Appraisal Skills Programme were excluded. In total, 57 articles were evaluated and 19 were selected. Appropriate copyright principles were followed in accordance with Colombian Law 23 of 1982. Results With the data obtained, 4 thematic categories were developed as follows: reception and management of euthanasia requests and regulations in Colombia; emotional accompaniment and effective communication with the patient and family; participation in euthanasia preparations and administration of medications; and management of requests and administration of medications. Conclusion Nursing plays an important role in the care of the patient requesting euthanasia, from the reception and management of the request to the administration of the lethal drugs.

Evaluation of Enterprise Resource Planning System Maturity with IT-IL V3 Framework at CV. Syntax Corporation Indonesia

This research aims to evaluate the development of the Enterprise Resource Planning (ERP) service system at CV. Syntax Corporation Indonesia uses the IT-IL V3 framework, especially in the Service Operations domain. This research is conducted by analyzing the performance and effectiveness of the ERP system that has been implemented, as well as how the system supports the company's daily business operations. Through an IT-IL V3-based evaluation approach, the study assessed critical aspects of ERP service operations such as incident management, problem management, and request management. The findings of this study provide insights into the strengths and weaknesses in the ERP system implementation at the company, as well as recommendations for improvements that can increase efficiency and user satisfaction. Using the IT-IL V3 framework, this study provides practical guidance for better management and development of ERP systems in the future.

Optimization of travel requests with process simulation analysis

Efficient travel request management is crucial in the modern corporate landscape, impacting decision-making, budget control, and overall operational efficiency. This study delves into the intricacies of the travel request management process with process mining and process simulation, aiming to assess the cost structure and efficiency. Three research questions were examined and tested statistically. Using a comprehensive dataset encompassing timestamps, personnel roles, and cost details, the research uncovers significant insights. The findings reveal substantial cost variations across different stages of the travel request process. Role-based analysis highlights variations in costs and processing times associated with distinct personnel roles. Additionally, delays, bottlenecks, and process variability emerge as key contributors to elevated process costs. Furthermore, process mining and simulation were instrumental in quantifying the impact of process optimizations. The simulations demonstrated that a 20% reduction in response times for Unit Leaders, a 40% reduction for Project Managers, and a 30% reduction for both roles collectively yielded the most significant cost savings. On average, a 0.45% cost improvement was observed for each percentage reduction in response times, reinforcing the importance of efficiency enhancements. These numerical results not only validate the critical role of response time reduction in cost control but also provide actionable insights for organizations to streamline their travel request management processes, improve budget allocation, and enhance operational efficiency in the corporate landscape.

Research Paper: Software Solution: Development of SOP for Change Request Form by Using Spira Team as Change Request Management Tool

Research Paper: Software Solution: Development of SOP for Change Request Form by Using Spira Team as Change Request Management Tool

Application of the K-Nearest Neighbor Method to Predict Demand for Goods from Customers at PT Sinergi Prima Enjineering

PT Sinergi Prima Enjineering, which is engaged in services, has been trusted as a contractor in several companies facing challenges in handling the large number of requests for goods and stock inventory management. This research aims to improve the prediction of demand for goods and inventory management using the calculation of the K-Nearest Neighbor (KNN) method and RapidMiner tools. With the comparison of calculations between KNN and RapidMiner using ten test data, the results are appropriate where the categorical grouping is often ordered totaling five data, moderately ordered totaling two data and rarely ordered totaling three data. The test results show that K = 3 produces a prediction accuracy of 91.98%. These results show that K-Nearest Neighbor can accurately anticipate future stock inventory and items that will be ordered by customers and it is hoped that the company can improve customer satisfaction and overall operational performance.

Updating the Informational and Control Practices in the Sustainability Agenda

Abstract Research purpose. The sustainability concept embraces a wide scope of linked practices: green thinking, sustainability informational and management assurance, ESG reporting and scoring, responsible and impact investment, stability measurements, and others. Significantly expanding beneficiary's and stakeholders' circle needs information to build and implement a policy providing ESG values creation and meeting their requirements in relevant sustainable agenda. This is why it is important to create a transparent information landscape and to shape new highlights in management and decision-making. The article is aimed at exploring specific ways to transform information and management practices, primarily accounting, ESG-reporting, analysis, and assurance to create a transparent information environment for sustainability. Design / Methodology / Approach. The study is designed as a qualitative analysis of existing information and related practices to identify gaps in the information needed by stakeholders for decision-making with that practically generated in the current environmental momentum. It involves summarising, categorizing, and interpreting open access sources data, such as unidirectional studies, non-financial reporting and ESG-rankings databases, program documents, frameworks and standards for sustainability and "responsible" reporting, professional audit analytics, and others. Logical and comparative analysis was used for data processing. The study’s theoretical framework is based on accounting theories, particularly the Interpretative paradigm. Findings. The possibilities were assessed following proposed approaches to upgrade the up-to-date system of informational-verifying appraisal practices by the requirements of a proper ESG environment. A holistic system layout was suggested, including information and control practices employed to provide sustainability. The main part of the recommendations refers to accounting and reporting for sustainability. New accounting ESG objects to display in this system were identified. It developed an integrated balance model of total capitals and their sources engaged and ESG -value-creating, taking for the basis traditional balance theory. Given the diversity of corporate non-financial reporting, classification characteristics for ESG reporting were suggested, and two key models of ESG reporting were defined. Recommendations were made in the field of design and methodology for information support of sustainability. Originality / Value / Practical implications. The article is the author's vision of the problems and ways of advancing traditional information practices in the context of global sustainability management requests. Recommendations for the holistic system of sustainability governance, informational support creation, transformation of accounting, ESG-reporting, other linked practices, streamlining, and methodological development of information activities that can be used in the practical field and employed in programmatic, advisory, and regulatory documents that structure the information field of socio-economic life.

QR Based Food Ordering System including Sentimental Analysis

Abstract: Ordering food directly has never been easier for the customers. This all-in-one QR Menu solution is for simplifying the food ordering process for customers and streamlining operations for businesses in the food service industry. The system offers the capability to upgrade for online food delivery through various digital channels, including websites and social media platforms, with a backend CRM facilitating the management of special customer requests. The primary target is quick-service restaurants, kiosks, takeout establishments, and food delivery services and the platform eliminates the need for customers to download additional mobile applications. By easily integrating with any POS system and supporting credit card payments, it provides a proper solution for online ordering and payment processing. Also, this platform combines sentiment analysis to understand customer preferences and easily make personalized menu suggestions and ranking of food items. This feature helps in enhancing the overall customer experience by offering specific recommendations based on individual tastes and preferences. Also, the system has user-friendly management tools for QR code generation and customization, ensuring compatibility with a wide range of QR code readers and scanning devices. The in-built QR code generator provides unique QR codes. As a cloudbased solution, it offers scalability and easy management of online menus, and allows businesses to list their offerings on various marketplaces. This system has unique capabilities in providing a seamless and integrated solution for online food ordering, payment processing, and customer engagement in the food service industry.

A Model Proposal for Developing a Solution and Determining the Administrative Problems of Hospitals in Turkey: The BUY Model.

Background and Purpose: This study was conducted in line with the request of the senior management of a hospital. The objective of the current research is to identify managerial problems through the relationship between health employees' perceptions of organizational justice, trust in the manager and the organization, and job satisfaction; develop a solution proposal over the relationships between these variables and motivation variables; and present a model proposal (BUY Model) as a result. Methods: The study sample is comprised of 673 employees. The study data were collected online using a questionnaire consisting of five scales. The data were analyzed by descriptive statistical methods, correlation analysis, and regression analysis. Results: The findings obtained from the study showed that the participants' perceptions of organizational justice, trust in the manager and the organization, job satisfaction and motivation were generally at a moderate level. The study also determined that trust in the manager and the organization had a partial mediation effect on the effect of organizational justice on job satisfaction and the variables of trust in the organization, organizational justice, and trust in the manager, respectively, and especially, the job satisfaction variable also affected motivation. Conclusion: The BUY model was developed to identify problems related to the management of healthcare human resources and solve these problems. Considering the importance of the concepts of job satisfaction and motivation in terms of employee performance, health service quality, and patient satisfaction, it is thought that the developed model will benefit managers of health institutions in increasing the job satisfaction and motivation levels of health employees.

Real-time management of intra-hospital patient transport requests.

This paper addresses the management of patients' transportation requests within a hospital, a very challenging problem where requests must be scheduled among the available porters so that patients arrive at their destination timely and the resources invested in patient transport are kept as low as possible. Transportation requests arrive during the day in an unpredictable manner, so they need to be scheduled in real-time. To ensure that the requests are scheduled in the best possible manner, one should also reconsider the decisions made on pending requests that have not yet been completed, a process that will be referred to as rescheduling. This paper proposes several policies to trigger and execute the rescheduling of pending requests and three approaches (a mathematical formulation, a constructive heuristic, and a local search heuristic) to solve each rescheduling problem. A simulation tool is proposed to assess the performance of the rescheduling strategies and the proposed scheduling methods to tackle instances inspired by a real mid-size hospital. Compared to a heuristic that mimics the way requests are currently handled in our partner hospital, the best combination of scheduling method and rescheduling strategy produces an average 5.7 minutes reduction in response time and a 13% reduction in the percentage of late requests. Furthermore, since the total distance walked by porters is substantially reduced, our experiments demonstrate that it is possible to reduce the number of porters - and therefore the operating costs - without reducing the current level of service.

JCET Companion: Mobile Application for Campus Assistance

JCET (Jawaharlal College of Engineering and Technology) Companion, the innovative mobile app thoughtfully designed for JCET college community, introduces a comprehensive suite of indispensable features aimed at simplifying and enhancing campus life. At its core, the app provides a user-friendly event calendar intricately linked with a reminder system, ensuring students never miss vital dates or essential college events. The meticulously organized study material empowers efficient learning, while crucial announcements keep users informed. With seamless attendance tracking and notifications, students stay accountable and punctual. Homework management, to-do lists, fee handling through an integrated gateway, and efficient leave request management all find a home in this app, uncluttering the daily tasks that typically burden students. In essence, JCET Companion offers a centralized platform, fostering a sense of community and shared experience while ensuring everyone is consistently up to date, transforming college life into a well-organized and informed journey, marked by enhanced efficiency and connectivity for all its users.

A Text-Based Predictive Maintenance Approach for Facility Management Requests Utilizing Association Rule Mining and Large Language Models

Introduction: Due to the lack of labeled data, applying predictive maintenance algorithms for facility management is cumbersome. Most companies are unwilling to share data or do not have time for annotation. In addition, most available facility management data are text data. Thus, there is a need for an unsupervised predictive maintenance algorithm that is capable of handling textual data. Methodology: This paper proposes applying association rule mining on maintenance requests to identify upcoming needs in facility management. By coupling temporal association rule mining with the concept of semantic similarity derived from large language models, the proposed methodology can discover meaningful knowledge in the form of rules suitable for decision-making. Results: Relying on the large German language models works best for the presented case study. Introducing a temporal lift filter allows for reducing the created rules to the most important ones. Conclusions: Only a few maintenance requests are sufficient to mine association rules that show links between different infrastructural failures. Due to the unsupervised manner of the proposed algorithm, domain experts need to evaluate the relevance of the specific rules. Nevertheless, the algorithm enables companies to efficiently utilize their data stored in databases to create interpretable rules supporting decision-making.

Effect of patient sorting done by nurses on care request management in primary care emergency services

Objective. To determine the influence of patient sorting done by nurses in primary care emergency services on care priorities and discharge referrals, both in general and in relation to the reasons for consultation. Methods. Descriptive retrospective study. Variables were compared before and after the involvement of nurses in sorting patients in the primary care emergency services of the Granada Health District (Andalusia, Spain). 41,295 records were analyzed, 18,663 before and 22,632 two years after the inclusion of nurses. The reasons for consultation, priority levels, and types of discharge referral during the two study moments were compared. Results. Regarding the reasons for consultation, it was observed that the percentages of malaise (p<0.001) and diseases of the genitourinary system (p<0.001) increased, while fever (p<0.001), among others, decreased. In the two-year measurement period after sorting done by nurses was implemented, type IV priorities increased in percentage (p<0.001) and type V priorities decreased (p<0.001). Discharges to home decreased (p<0.001), while family physician referrals increased (p<0.001). Conclusion. The participation of nurses in the sorting of patients in primary care emergency services was related to significant changes in priority assignment, discharge referrals, and management of the reasons for consultation, showing an improvement in patient care autonomy and in the resolution of minor clinical problems in the emergency room.

Develop the ubiquitous computing wearable IoT devices using IoT-distributed framework

Body Area Sensor Network (BASN) communication methods meet clients' multi-level requirements through Wearable Internet of Things (WIoT) systems. Transparency at management levels, heterogeneous support, and distributed communication to users are requirements of the PCS. Providing essential functions is a serious problem. A flexible Ubiquitous Computing (UC) architecture presented in this study is used to improve the reliability of end-user communication in the WIoT-based health sensor approach. According to this method, demand and sharing variables provide the foundation for the evaluation of resource allocation through recurrent learning. A proposed method could be used to implement end-user mobility management on WIoT healthcare sensors for data transmission, resource allocation and sharing. To show the integrity of the approach, some parameters were used in the actual evaluation and performance predictions. In the ubiquitous ecosystem, the uninterrupted flow was guaranteed to reduce the likelihood of a request being blocked. Memory control to density assignment at the framework level through storage management helps reduce backlogs and failures when allocating resources. The proposed approach enhances storage utilization, bandwidth, and request management besides lowering connection speed, backlogs, and request failure compared to the existing systems.

How time flows making games: An ethnographic analysis of experiences of temporality in an indie videogame studio

In research on videogame production, much attention has been given, justifiably, to ‘crunch’, whereby employees in large studios work extremely long hours for months at a time prior to a game’s launch, at the request of management. There has to date been limited research about how duration and urgency are experienced at other periods, and also in the economically and culturally significant ‘independent’ (or indie) sectors and companies. This article draws on a Deleuzian framework initially developed to analyse experience of temporality in academic research, and applies it to data generated by an ethnography of a UK-based indie game studio, which examined how games are produced as part of a more routine working life. The framework enables a re-examination of how ‘passionate’ work in the cultural industries is lived day-to-day, and aims to contribute to debates about the politics of time in the games sector, offering analytic resources which expand the vocabulary for expressing desired experiences of time in game work.

Cost-Effective Traffic Scheduling and Resource Allocation for Edge Service Provisioning

The multi-access edge computing (MEC) paradigm has emerged as a critical solution to address the exponential growth in mobile web services and devices. By implementing an edge-based service provisioning system (EPS) with servers located at the network’s edge, both transmission and computation efficiency can be significantly enhanced. Nevertheless, it is also essential to carefully consider the resource allocation for services, the traffic management of requests, and the path arrangement for data delivery to ensure the cost-effective operation of the EPS. Therefore, we investigate and quantify the relationship between the performance and cost of the EPS in this paper, and model the cost-effective service provisioning problem as a multi-phase convex optimization problem. An online algorithm whose name is RDC based on the Lyapunov framework is proposed to decompose this problem into several sub-problems.Additionally, a heuristic approach that partitions edge servers into several clusters, called RDC-NeP and based on RDC, has also been proposed to reduce computational complexity. A series of experiments were conducted to evaluate the proposed approach. The results demonstrate that RDC can effectively balance expense and performance, while RDC-NeP significantly simplifies the processing of RDC when the problem scale increases.