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34 results for “Healthcare Performance”

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Research ArticleOpen accessPhrase in the titleAn Assessment of the Effect of Education, In-Service Training (IST) and Tenure on Healthcare Performance: A Cost-Optimizing PerspectiveNestor Asiamah, Henry Kofi Mensah, Eric Fosu Oteng-AbayieHealthcare institutions, governments and other stakeholders have over the years used employee education, in-service training and tenure prolongation to enhance the job performance of health professionals, which is termed healthcare performance in this study. The lack of adequate financial resources may however leave employers with the sole option of applying only one of these methods. This study attempts to identify … …Current Research in Psychology, Vol. 7, Issue 2 · 24 Dec 2016 · 10,204 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Framework for Real-Time Healthcare System Performance in Developing CountriesRazi Ahmed, Eiad Yafi, Mazliham Mohd Su’ud et al.This study proposes a conceptual structure for the success of the real-time healthcare program in developing countries. Whilst developing and some developed countries face a significant challenge in adopting the application of real-time healthcare, this work aims to analyze the perspectives of healthcare practitioners in Malaysia. Since 1997, Malaysia has been putting efforts to introduce a real-time healthcare system, but … …Journal of Computer Science, Vol. 16, Issue 9 · 24 Sep 2020 · 6,985 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEquity Mutual Funds in Healthcare Sector: A Comparison of Performance and Risk Through an Age-Cohort AnalysisRosa Adamo, Domenica Federico, Antonella NotteSustainable finance development led to the spread of some specific categories of equity funds based on a social vocation. Particularly, sustainable funds are portfolios of equities and/or bonds for which environmental, social and governance factors have been integrated into the investment process. Today these tools play an important role in the health sector. The aim is to offer an overview … …American Journal of Economics and Business Administration, Vol. 14, Issue 1 · 23 Jan 2023 · 6,149 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain-Enabled Privacy-Preserving Access Control for Electronic Health Records Using Smart ContractsG. Bhanu Prasad, M. Venkateswara RaoElectronic medical records are crucial for providing high-quality healthcare, but they also raise serious privacy and security issues. Traditional centralised storage systems are vulnerable to manipulation, hacking, and illegal access. This study suggests a smart contract-based blockchain architecture that provides decentralised, unaltered, and privacy-preserving access control for EMRs. The model integrates cryptographic techniques like AES-256 encryption and SHA-256 hashing for … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,306 accessesView PDFCite
Short CommunicationsOpen accessIn the abstractMolecular Testing for Respiratory Tract Infections May Have Favorable Impact on Real-world Healthcare CostsAzia Evans, Vijay Singh, Pallavi Upadhyay et al.Molecular testing by Polymerase Chain Reaction (PCR) has improved diagnostic performance to inform appropriate treatment. However, its impact on healthcare utilization and costs related to respiratory tract infections are yet to be studied in detail. The aim of this study is to evaluate the costs of healthcare utilization following traditional culture and molecular PCR diagnostic testing for respiratory tract infections. … …American Journal of Infectious Diseases, Vol. 20, Issue 3 · 15 Jan 2025 · 5,262 accessesView PDFCite
Research ArticleOpen accessIn the abstractEdge Computing Enabled Human Activity Recognition (ECEHAR) Using LSTM and CNNSuresh Kumar, M Y. Mohamed ParveesHuman Activity Recognition (HAR) is an important research area for various application domains such as healthcare, gaming, telemonitoring, and sports. However, executing HAR algorithms on remote servers or in the cloud have challenges in terms of high latency, increased bandwidth demand, and high energy consumption. Moving the computation to edge-assisted HAR is more effective and flexible solution to address the … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,578 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine-Tuned and Optimized Transformer-Based Model for EEG Seizure DetectionPuspanjali Mallik, Ajit Kumar Nayak, Kumar Janardan Patra et al.Epilepsy, a widely recognized neurological disorder, results from irregularities in the transmission of electrical impulses among neurons in the brain. Over the last two decades, significant efforts have been made by researchers and clinicians to develop effective methods for its early detection and management. The electroencephalogram (EEG), a non-invasive tool used to monitor brainwave activity, has become a central device … …Journal of Computer Science, Vol. 21, Issue 11 · 11 Feb 2026 · 1,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractBig Data Framework for Predicting Infectious Diseases to Improve Healthcare by Discovering New Symptom PatternsAmal Mohamed Mounir, Mohamed Ibrahim Marie, Laila Abd-ElhamidThe utilization of big data in infectious disease control represents a captivating opportunity, as these novel data streams offer the potential to enhance the timeliness of preventive measures. Various healthcare providers in both the public and private sectors generate, store, and analyse extensive datasets to enhance the quality of services they deliver. Recently, the outbreak of the new coronavirus, COVID-19, … …Journal of Computer Science, Vol. 20, Issue 10 · 2 Aug 2024 · 4,915 accessesView PDFCite
Review ArticleOpen accessIn the abstractChallenges of Breast Cancer Detection Based on Histopathology ImagesAlaa Mohamed Youssef, Aliaa Abdel-Haleim Abdel-Razik Youssif, Wessam El BehaidyArtificial Intelligence (AI) is rapidly evolving every day to become increasingly potent and dependable. AI systems are becoming more sophisticated and are being utilized across various domains with the goal of enhancing human existence. Within the healthcare system, artificial intelligence finds application in handling and documenting large volumes of medical data, conducting analyses of healthcare systems, advancing pharmaceutical development, and … …Journal of Computer Science, Vol. 20, Issue 7 · 17 Apr 2024 · 4,942 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis on Prediction of Chronic KidneyDisease by various Machine Learning ModelsNikhil Verma, Tripti Sharma, Bobbinpreet Kaur, Ayush DograChronic Kidney Disease (CKD) is a prevalent global healthconcern, which is affecting a number of people in the whole world. Earlydetection & precise checking of CKD are really important for essentialsupervision & intervention to prevent disease progression and associatedcomplications. Machine learning (ML) models have emerged as favourabletools for CKD detection due to their ability to analyse complex data patternsand provide … …Journal of Computer Science, Vol. 21, Issue 6 · 24 May 2025 · 5,939 accessesView PDFCite