Record-keeping System Research Articles

Economic impact of mortality prediction by predictive model at first and second treatment for bovine respiratory disease.

To evaluate a predictive model's ability to determine cattle mortality following first and second treatment for bovine respiratory disease and to understand the differences in net returns comparing predictive models to the status quo. 2 boosted decision tree models were constructed, 1 using data known at first treatment and 1 with data known at second treatment. Then, the economic impact of each outcome (true positive, true negative, false positive, and false negative) was estimated using various market values to determine the net return per head of using the predictive model to determine which animals should be culled at treatment. This was compared to the status quo to determine the difference in net return. The models constructed for the prediction of mortality performed with moderate accuracy (areas under the curve > 0.7). The economic analysis found that the models at a high specificity (> 90%) could generate a positive net return in comparison to status quo. This study showed that predictive models may be a useful tool to make culling decisions and could result in positive net returns. Bovine respiratory disease is the costliest health condition experienced by cattle on feed. Feedyard record-keeping systems generate vast amounts of data that could be used in predictive models to make management decisions. It is essential to understand the accuracy of predictions made via machine learning. However, the economic impact of implementing predictive models in a feedyard will influence adoption.

A Novel Approach to Template Filling with Automatic Speech Recognition for Healthcare Professionals

In the evolving landscape of medical documentation, the necessity for efficient and accurate record-keeping systems is paramount, especially in specialised fields such as neurology where precision in terminology is crucial. This paper introduces a pioneering application of a fine-tuned Whisper model, specifically adapted for brain-related medical terms, integrated with an AI-driven system for automated template filling. The proposed system leverages advanced speech recognition technologies to capture doctors' verbal inputs and accurately transcribe these into designated report templates. The process simplifies the documentation workflow, significantly reducing the cognitive and administrative load on healthcare providers by enabling them to focus more on patient care rather than paperwork. Our research details the development and implementation of this innovative system, including the specific adaptations made to the Whisper model to enhance its accuracy with neurology-specific terminology. We also evaluate the system's performance in real-world medical settings and discuss the practical implications of integrating such AI tools in clinical practice. Furthermore, the system's capacity to generate ready-to- print PDF reports not only streamlines the documentation process but also ensures consistency and reliability in medical records. The overarching aim of this project is to demonstrate how targeted AI solutions can address the unique challenges of medical documentation, offering substantial benefits to healthcare providers and patients alike.

Dignity by design: pathways to participatory recordkeeping systems

Dignity by design: pathways to participatory recordkeeping systems

214 Impact of a nutritional water supplement on nursery mortality as determined by different statistical methods and consequences for on-farm application of technology

Abstract The objective of this experiment was to determine the effect of supplementation with Furst Strike Direct (FSD; a source of monoglycerides, natural flavors, and antioxidants, Furst-McNess Company) via drinking water for the first week post-weaning in large-scale commercial settings to allow stakeholder decisions to be made for implementation. A total of 88,667 pigs and 53 replicate barns from two different large-scale production systems: System 1) 37,003 pigs across 28 barns, and System 2) 51,664 pigs across 25 barns were allocated to either control water program, or the addition of FSD at 3.2 oz per gallon of stock solution, metered at 1:128 into drinking water. Each system had multiple sow farm flows. The average time of application post-weaning was 8 and 10 d, in System 1 and 2, respectively. Mortality data were collected via record-keeping systems for the 6th week post-weaning. The Grubb’s test was used to check data for outliers with P < 0.05 as the level of significance for eliminating any outliers. Each individual system was analyzed for the effect of supplementation, and then the two systems were combined into one data set for a combined analysis with greater replication. GLM procedure in Minitab with Fisher’s t-test determining differences between treatments was used for the analysis. Mortality of System 1 (1.52% vs. 0.95%; SEM = 0.28, P = 0.170), and System 2 (2.72% vs. 1.91%; SEM = 0.38, P = 0.109) were numerically improved by supplementation. Table 1 are the data analyses for both systems combined. At this greater level of replication, we can see a trend for the impact of supplementation on mortality (-31%, P < 0.10), and when incorporating sow farm into the model supplementation was statistically significant (-33%, P < 0.05). The determination of the efficacy of any technology in situ is very difficult with the amount of variation that is present in commercial environments. However, key stakeholders (e.g., farmer, veterinarian, nutritionist) depend on the evaluation of live production data to make management decisions, and the work presented provides an indication of the level of replication needed to be able to detect relatively small, but financially important changes in performance on nursery mortality.

Blockchain-powered grids: Paving the way for a sustainable and efficient future

Blockchain technology can potentially be a bedrock for the energy record-keeping system. This study examined several critical factors that affect users’ intention to accept Blockchain technology for the Smart grid. The proposed model is based on the Technology Organization Environment framework, which is examined using Structural Equation Modelling. Based on the study findings, it has been indicated that the relative advantage shows a significant effect and matters the most during the Blockchain technology adoption in the Smart grid. The innovativeness, cost saving, and regulatory support also significantly influence the intention to use the Blockchain technology. The innovativeness and traceability show a significant influence on upper management support. The traceability shows a substantial impact on cost savings. However, innovativeness shows an insignificant effect on cost savings. The traceability and competitive pressure do not affect the intention to use the Blockchain technology. This study has extended the Technology Organization Environment theory, which predicts the organizational behavior to adopt the Blockchain technology for the Smart grid. We argue that the finding provides insights to guide the industry to deliver the best practice on the Blockchain technology. The study findings suggest that experts would recognize innovative technology free of effort to raise the determined aids for improving the traditional energy system. Though there are some limits, theoretical and practical implications are justified based on the findings.

The need for a participatory recordkeeping system for children and young people placed in residential care homes: the case of Sweden

The need for a participatory recordkeeping system for children and young people placed in residential care homes: the case of Sweden

Root Cause Analysis of Gaps in Non-communicable Disease Monitoring in a Sub-district Hospital, Tamil Nadu: A Quality Improvement Initiative.

Introduction Non-communicable diseases (NCDs) present a significant public health challenge globally, and India is deeply affected. With the largest population in the world, India struggles with a high burden of NCDs, encompassing cardiovascular diseases, diabetes, cancer, and chronic respiratory conditions. These ailments contribute substantially to morbidity and mortality, placing a strain on healthcare systems. Despite efforts through public health initiatives, NCD monitoring and management remain deficient, especially at grassroots levels. Methods At a sub-district hospital in Tamil Nadu, India, a quality improvement initiative targeted diabetes and hypertension, prevalent NCDs. Utilizing Fishbone analysis and process flow diagrams, we identified gaps in NCD monitoring. Employing the Plan-Do-Study-Act model and reorienting the patient flow, we enhanced NCD monitoring by optimizing patient health record maintenance within the hospital. Results Root cause analysis identified a lack of patient record protocols and patient loss of records as key hindrances in NCD monitoring. We revamped patient flow and implemented a robust record-keeping system, boosting access to patient health records. This initiative was embraced by healthcare providers, enhancing NCD management. Leveraging these records, we assessed control rates of diabetes and hypertension patients effectively. Conclusion The research underscores the importance of maintaining comprehensive patient health records in healthcare centers for enhancing NCD monitoring. These records serve as valuable tools for healthcare providers, aiding in the monitoring and treatment of patients with diabetes and hypertension. By leveraging these records, healthcare providers can achieve better disease control outcomes, thereby improving the overall management of NCDs.

Blockchain technology applications in maintaining heritage buildings

Preservation of cultural heritage in the face of human and natural disasters, as well as improper maintenance practices, is a crucial endeavor that must be undertaken throughout the lifespan of heritage buildings. In order to maximize the value derived from these assets and strike a harmonious balance between accurate documentation and performance optimization, asset management strategies have been employed. In recent years, the advent of innovative methodologies such as Building Information Modeling (BIM) and laser scanning has opened new possibilities for their application in various contexts. However, successful implementation of these methodologies faces a range of challenges, including limited knowledge, inexperienced teams, and reluctance to embrace change on the part of administrators. To address these obstacles and enhance asset management practices, the integration of BIM, Chatbot, and Blockchain methodology has emerged as a viable solution. This methodology not only facilitates the improvement of data security and user data capture but also streamlines the process of updating BIM models. In this research, we propose a data-driven Chatbot framework based on Blockchain, specifically designed to manage maintenance activities through the utilization of BIM. The proposed framework serves as a valuable tool for government authorities and asset managers seeking to adopt BIM for the preservation of heritage buildings. Comprising three key components – the BIM model, the Blockchain model, and the Chatbot model – the framework offers comprehensive support. The BIM model encompasses all relevant information pertaining to the management of the heritage building, while the Chatbot model replicates human interaction through text-based communication. Users can access up-to-date BIM data by posing predefined questions to the Chatbot. On the other hand, the Blockchain model serves as a secure and immutable record-keeping system, validating and verifying user updates, thereby fostering trust among stakeholders. This proposed model empowers asset stakeholders to request and update asset information via a trusted and reliable channel. To showcase the capabilities of the framework, we present a real-world case study centered on the Omar Toson Palace in Cairo, Egypt. Through this case study, we demonstrate the effectiveness and potential of our proposed framework in meeting the challenges associated with heritage building preservation.

BLOCKCHAIN IN U.S. ACCOUNTING: A REVIEW: ASSESSING ITS TRANSFORMATIVE POTENTIAL FOR ENHANCING TRANSPARENCY AND INTEGRITY

This study critically examines the transformative potential of blockchain technology in enhancing transparency ansd integrity within U.S. accounting practices. Employing a systematic literature review and content analysis methodology, the research draws on a range of peer-reviewed articles, industry reports, and authoritative databases. The study's objectives include understanding the evolution of blockchain in accounting, assessing its impact on transparency and integrity, identifying challenges in adoption, and exploring future trends and stakeholder implications. Key findings reveal that blockchain acts as a catalyst for transparency and integrity in accounting, offering a decentralized and immutable record-keeping system that significantly reduces the likelihood of fraud and errors. The technology's integration into accounting practices is evolving, indicating a future of automated, real-time auditing processes and enhanced financial reporting. However, challenges such as regulatory ambiguity, technical complexities, and scalability issues persist, necessitating strategic solutions. The study recommends that industry leaders and policymakers proactively embrace blockchain technology through education, regulatory framework development, and collaboration between technology developers and the accounting industry. Standard-setting bodies are also encouraged to update accounting standards in light of blockchain's implications. Future research directions include exploring the long-term impact of blockchain on various accounting aspects, empirical assessments of its real-world impact, and strategies to overcome adoption barriers. In conclusion, the study highlights blockchain's significant role in revolutionizing accounting practices, emphasizing the need for continued exploration and strategic integration of this technology in the accounting sector.
 Keywords: Blockchain Technology, Accounting Transparency, Regulatory Frameworks, Financial Integrity.

An Emotional Artificial Intelligence Based Attendance System for Class Room

Attendance through a camera using Artificial Intelligence (AI) and Deep Learning (DL) is a mod-ern approach to monitoring and tracking attendance in various settings such as schools, offices, and man-ufacturing facilities. It uses computer vision techniques and deep learning algorithms to automatically detect and identify individuals in an image or video captured by the camera. The process typically in-volves training the system on a dataset of labelled images of the individuals who will be taking attend-ance. This training data can include images of the individual's face, iris, or fingerprints, depending on the specific approach used. Once the system is trained, it can then use this knowledge to recognize these in-dividuals in new images captured by the camera. When an individual is recognized, the system can log their attendance in a database or other record-keeping system. This can be done in real-time, allowing for immediate tracking of attendance, or it can be done at a later time for batch processing. However, AI has been expanding its horizon and face recognition with deep learning techniques can be augmented with emotion recognition as well. Sometimes, students feel really sad and overwhelmed by their school work and other responsibilities. They might feel like they can't keep up or that they are not good enough. When these feelings last for a long time, it's called depression. Depression can make it hard for students to do their school work, be with friends and family, or even get out of bed in the morning. When students are feeling really sad and hopeless, they might think about hurting themselves or ending their lives. This is called suicide. It's important to know that suicide is preventable and there are people who can help. It's important to take care of our mental health, just like we take care of our physical health. If you ever feel sad or overwhelmed, it's important to talk to someone you trust and get help. One way to prevent suicide is to detect if someone is feeling sad and hopeless, which can be a sign of depression. One way to do this is by using a CCTV camera and AI and DL technology to analyze the person's facial expression, body language, and speech patterns. Emotional AI and DL can be a powerful tool in detecting depression but it's not a substitute for a professional diagnosis. It's always advisable to consult with a mental health pro-fessional if you suspect that you or someone you know may be struggling with depression.

On‐Patient Temporary Medical Record for Accurate, Time‐Sensitive Information at the Point of Care

AbstractAccurate medical recordkeeping is important for personal and public health. Conventional forms of on‐patient medical information, such as medical alert bracelets or finger‐markings, may compromise patient privacy because they are readily visible to other people. Here, the development of an invisible, temporary, and easily deployable on‐patient medical recordkeeping system is reported. Information is stored in unique patterns of spatially distributed near‐infrared (NIR) fluorescent quantum dots (QDs), which are delivered to the skin using dissolvable microneedle arrays. The patterns are invisible to the naked eye but detectable with an infrared camera, which can extract information with >98% accuracy using automated pattern recognition software. By encapsulating NIR QDs in an FDA‐approved biodegradable polymer, biodegradation rates can be tuned so that the encoded medical information can be conveyed in both a spatial and temporal manner, with some components fading within 100 days and others persisting for 6 months. This may be particularly useful for administering a series of vaccinations or treatments by indicating if enough time has passed for the patient to receive the next dose. Importantly, this system contains no personal information, does not require connection to a centralized database, and is not visible to the naked eye, ensuring patient privacy.

Financial Accountability and Service Delivery in Kabale District, Uganda

This research was conducted in Kabale District Local Government to examine the effect of financial accountability on service delivery. The predictor variables under study were funds disbursement, auditing process and record-keeping systems, while service delivery was the outcome variable. The study followed a cross-sectional survey. Data from 86 respondents was collected and analyzed quantitatively, complemented with qualitative analysis. Since descriptive analysis entailed a description of a single variable and its attributes, frequency tables were used to present the data. At the bivariate level, a Pearson correlation matrix was conducted to ascertain the relationships between the predictor variables and the dependent variable. A linear regression model was used to fit the data. Research findings from the regression model show that funds disbursement (R=862), Auditing process (R=656 and record-keeping systems (R=899) have a positive significance on the service delivery of Kabale District local government. The main conclusion drawn from this research is that funds disbursement, auditing process and record-keeping systems have a significant effect on service delivery.

Working with care leavers and young people still in care: ethical issues in the co-development of a participatory recordkeeping app

An important element of social research is the ethical treatment of research participants. This paper outlines the ethical issues pertaining to a study (MIRRA: Memory-Identity-Rights in Records-Access) that developed a ‘participatory recordkeeping system specification’ for young people in care. The research team worked with members of the cohort themselves (aged 13–17 years) and care-experienced adults. It discusses in general terms the various elements that require ethical consideration, such as informed consent, anonymity, avoiding harm, and needing to benefit the participants and their peers. It goes on to describe how such issues were approached by the team. The particular ethical measures required for the young and ‘cared-for’ participants are explored. These included the need to work through, first, an adult gatekeeper—a representative of each care organisation approached—and then, within the organisation, a social worker or care-giver. This greatly limited recruitment, as these adults often vetoed contact with the young people themselves. A checklist is outlined, derived from the ‘Gillick Test of Competence’ to assess capacity to give ‘informed consent’, for willing gatekeepers/carers to consider. The article then addresses how the Participant Information Sheets were developed for the young cohort, emphasising the need to do this by consulting appropriate professionals, published guidelines and the potential participants themselves. After considering the possible risks and benefits to participants, the paper concludes by suggesting that ethical issues around recruitment and participation of this cohort are complex and require much additional bureaucracy, patience and flexibility—but can be immensely rewarding.

WhatsApp-Based Record-Keeping System in a Private Neurosurgical Clinic Chain.

Background The demanding nature of neurosurgical practice requires a reliable system for documentation and record-keeping. The cost of electronic health record systems can limittheir availability in low- and middle-income countries. That is whyless expensive and easily accessible technological alternatives should be sought. In this article, we describe our adopted system for medical record-keeping based on WhatsApp (Meta Platforms, Inc., Menlo Park, CA). Methods In our chain of six clinics, each clinic has its record-keeping WhatsApp group dedicated to sharing medical data of outpatients following up in that specific clinic and of inpatients cared for in hospitals in its area. After each encounter, our surgeons share smartphone-captured pictures of their patients' medical data on the WhatsApp group of the related clinic. The medical data are then categorized and stored by the secretary on the clinic's computer to be accessed at any time for record retrieval. Discussion Our five years of experience with the WhatsApp-based record-keeping system with medical records of 11,729 patients proved to be reliable, cost-effective, user-friendly, and efficient, and it positively impacted patient care. Responsible behavior, security precautions, and regulating policies are essential to protect patient confidentiality. Conclusion Our system can be an inexpensive alternative to the electronic health record system in small healthcare facilities. It can help physicians practicing in low- and middle-income countries to improve medical records documentation, thereby improving patient care. There is a need for policies to regulate the use of instant messaging applications in professional medical communication.

Factors Influencing the Failure to Manage Official Email Records by the Central Government of Zimbabwe

Email has emerged as one of the most important and frequently used business records in almost all types of business organisations. This has been due to the advantages inherent in email such as low cost, speed of transmission and ease of use as well as opportunities brought about by the adoption of the electronic government programme. Nevertheless, many organisations face challenges when it comes to managing email as an official record where email messages are captured into the record-keeping system of the organisation, classified, appraised and preserved for future use and reference, and appropriately destroyed when no longer needed. This study seeks to promote the economic, efficient and effective management of email as official records in Zimbabwe’s central government. The case of Zimbabwe’s central government was used and 12 out of 22 head offices of government ministries participated in the study. Using a mixed methods research approach with an explanatory sequential research design, the study collected data using structured questionnaires and open-ended interviews. The study revealed that many government ministries failed to properly manage email as official records due to lapses in the regulatory, policy and procedural frameworks as well as due to skills and infrastructural deficiencies, among other factors. If no urgent efforts are effected, a lot of email records will be lost, thereby compromising accountability, transparency and informed decision-making in Zimbabwe’s central government. The study recommends that Zimbabwe’s central government should channel requisite material, financial and human resources as well as craft legal, policy and procedural frameworks in order to make email a useful record of choice worth its salt.

A Study on Receivables Management with Reference to ABB India Limited

The study is mainly focused on accounts receivables management of the company. The title of the study is “A Study on Receivables Management with reference to ABB India Ltd.,”. The present study undertakes on the evaluation of accounts receivables management of ABB India Limited. Receivables management, which is often referred to as accounts receivable management, encompasses the procedures involved in supervising and regulating a firm's unpaid invoices or outstanding accounts receivable. It is important to supervise and regulate all financial transactions within the company and to establish a methodical record-keeping system to document all sales transactions. The study is undertaken to analyse the receivables management in ABB India Ltd. The research is a descriptive analysis where the source of data is secondary. The result outcome of the study will be analysing the effectiveness of receivables management at ABB India Ltd. The study is analysed with the data using various tools like ratios, bar graphs and correlation. The ratio analysis predicts the financial ability of the company and the progress. It also gives a clear picture of the profit and the growth of the company. And the overall financial position of the company is good.

Design of a Website-Based Point-of-Sale Information System at "Vapeboss" Vape Shop Using the Waterfall Method

Vapebos is a one-stop vape shop catering to vaping enthusiasts, offering a wide array of products essential for vapers or electronic cigarette users. Their inventory spans devices like Mods, Atomizers (RDA), a diverse range of flavored liquids, and various accessories. Presently, Vapebos employs a manual transaction system where each sale is noted in a physical ledger. However, this approach poses potential issues, such as the loss of transaction records or damage due to exposure to water. To tackle these challenges and ensure smoother operations, the store is transitioning to a modernized Point of Sale (POS) system. The chosen methodology for this transformation is the waterfall-based approach. By employing the waterfall model, the authors are developing a POS application that streamlines Vapebos' transaction processes. This system promises enhanced efficiency and accuracy, reducing the likelihood of data loss or errors that might occur with the manual method. This endeavor not only aims to simplify day-to-day transactions but also contributes to maintaining a secure and organized record-keeping system. The adoption of a POS system aligns with Vapebos' objective of providing seamless service to its customers and safeguarding its business operations against potential setbacks. Through this systematic upgrade, Vapebos is poised to offer a more reliable and efficient shopping experience for vape enthusiasts while ensuring the integrity of their transaction records.

Preliminary evaluation of a multidisciplinary pathway for people who self-harm in acute inpatient mental health care

Background/aims Inpatient mental health settings are required to provide biopsychosocial interventions to support service users who self-harm. This is important as self-harm has been associated with increased admissions and risk of suicide. A multidisciplinary self-harm pathway was developed in an acute inpatient mental health ward for adult women to help staff support patients who self-harm. The aim of this project was to evaluate the pathway in relation to service user distress, confidence in managing mental health, therapeutic alliances with the ward team and self-harm incidents on the ward. Methods Data were collected from the record-keeping systems and from questionnaires completed before and after the pathway was introduced. Results The pathway was well received by service users and contributed to improvements in distress, confidence and to more effective management of self-harm. Conclusions The self-harm pathway was found to be a useful framework within which to structure psychosocial interventions for self-harm and least restrictive practice.

Security in Health Information Management Records through Blockchain Technology

Medical records play a crucial role in delivering high-quality healthcare by facilitating accurate diagnosis, treatment, and patient monitoring. However, manual, paper-based record-keeping systems present various challenges, including storage burden and retrieval difficulties. Although electronic medical records (EMRs) have gained popularity, they are not risk-free, such as data manipulation. Inadequate medical records administration contributes to inefficiencies in the healthcare system, increased costs, incorrect diagnoses, and compromised patient care. This literature review investigates the potential of blockchain technology in enhancing medical record management and improving the quality, efficiency, and limitations associated with traditional manual methods. Specifically, the study explores the benefits of utilizing blockchain in medical records management. The findings suggest that blockchain technology can enhance the security, interoperability, and accessibility of medical records thereby mitigating concerns related to data manipulation while providing a more cost-effective and efficient solution for medical records management.

A Review on New Accounting History and Empirical Research

This research paper provides an explanation of the accounting history. The paper explores how merchants developed a record-keeping system known as the Bollac and traces the stages of accounting development from Mesopotamia in 3500B.C. to the present dayIt also examines Luca Pacioli's important contributions to the advancement of double-entry accounting, for whom he is frequently referred to as the Father of Accounting. The report also highlights the importance of accounting history in the modern world. The research then discusses the opportunities and difficulties that the accounting industry may face as the decade comes to an end. This essay looks into the methods used in historical research and suggests ways to make accounting history more relevant to modern accounting scholars. It explores several connected topics, including organizational history, internal accounting, specialized international accounting history literature, and accounting theory These subjects offer insightful information and resources that enable researchers to delve further into their particular fields of study