Research ArticleOpen accessEvery word in the titleAssessment of Quality Management Practices Within the Healthcare IndustryWilliam J. Miller, Andrew T. Sumner, Richard H. DeaneProblem Statement: Considerable effort has been devoted over the years by many organizations to adopt quality management practices, but few studies have assessed critical factors that affect quality practices in healthcare organizations. The problem addressed in this study was to assess the critical factors influencing the quality management practices in a single important industry (i.e., healthcare). Approach: A survey instrument … …American Journal of Economics and Business Administration, Vol. 1, Issue 2 · 30 Jun 2009 · 10,361 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Six Stages of the Healthcare Economy-Is Socialized Medicine at the Door? A Historical ReviewEldo E. FrezzaThe healthcare industry, nonexistent a century ago, is now a huge fraction of the U.S. economy and an intricate business with a multitude of legislative problems. This review article will summarize the recent history of the healthcare industry, evaluate how hospitals today make and lose money, and provide a few projections about the future of healthcare in America. The hope … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 7,610 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEvaluating Patient Readmission Risk: A Predictive Analytics ApproachAvishek Choudhury, Dr. Christopher M. GreeneWith the emergence of the Hospital Readmission Reduction Program of the Center for Medicare and Medicaid Services on October 1, 2012, forecasting unplanned patient readmission risk became crucial to the healthcare domain. There are tangible works in the literature emphasizing on developing readmission risk prediction models; However, the models are not accurate enough to be deployed in an actual clinical … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 7 Dec 2018 · 8,155 accessesView PDFCite
Research ArticleOpen accessIn the keywordsQuality of Health Services Provided to Iraqis at Jordan Red Crescent Health CentersTaghrid S. SuifanProblem statement: Quality of services measurement has been the concern of many scholars who have tried to develop scales for it. The most popular scale used was SERVQUAL. Hence the aim of this study is to discover the quality of health services provided to Iraqis at Jordan Red Crescent Health Centers in Amman. Approach: A sample study was derived from … …Journal of Social Sciences, Vol. 6, Issue 2 · 30 Jun 2010 · 7,592 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of an Intelligent Electronic Prescription Ontology Using Open Source Tools: A Botswana Case StudyTshiamo Sigwele, Eunice Okon, Tshepiso Mokgetse, Onkemetse TshenyegoHealthcare interoperability in Botswana is hindered by fragmented information exchange across public and private providers, resulting in prescription conflicts, duplicated treatment, and delayed care. In prior work, we developed the Intelligent Electronic Prescription Ontology (IEPO), an open-source OWL 2 ontology for semantically standardized prescription data exchange. Although IEPO was previously validated using competency question-driven metrics (recall, precision, and F1-score), those … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 500 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
Review ArticleOpen accessIn the abstractA Systematic Literature Review on Data Integration: Issues, Data Types, ArchitectureMimi Haryani Tasani, Mohd Kamir YusofData integration is an important process that enables organizations to merge data from various sources, creating a consolidated viewpoint that supports better decision-making, increased effectiveness, and deeper insights. Although data integration has advantages, it also comes with difficulties like maintaining data quality, adhering to compliance regulations, resolving technical issues, and merging with older systems. Effective management of data quality, robust … …Journal of Computer Science, Vol. 22, Issue 2 · 18 Feb 2026 · 1,807 accessesView PDFCite
Review ArticleOpen accessIn the abstractBibliometric Analysis of Missing Value Imputation (MVI) Research Using Python and VOSviewer: Trends and Future DirectionsSamsul Arifin, Muhammad Faisal, Edwin Kristianto Sijabat et al.Incomplete data is a pervasive issue in data science, posing significant challenges for statistical analysis and machine learning applications. Missing Value Imputation (MVI) has thus emerged as a critical area of research aimed at mitigating data quality issues and improving decision-making accuracy. This study presents a comprehensive bibliometric analysis of MVI research using Scopus-indexed publications from 2000 to 2024. The … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,961 accessesView PDFCite
Research ArticleOpen accessIn the abstractRefining Chest X-ray Interpretation with Deep Transfer Learning TechniquesR. Sriramkumar, K. Selvakumar, J. JeganChest X-rays are essential diagnostic tools for thoracic diseases, but different doctors' interpretations can differ greatly, which frequently results in inconsistent diagnoses. By using deep transfer learning techniques, this study seeks to improve the accuracy of Chest X-ray interpretations. More accurate and effective analysis can be accomplished with the growing potential of artificial intelligence (AI) in medical imaging, especially through … …Journal of Computer Science, Vol. 21, Issue 10 · 27 Nov 2025 · 2,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneration Z Health Trends: Data Mining of Sleep and Lifestyle PatternsFrancka Sakti Lee, Johanes Fernandes Andry, Kevin Christianto et al.This study analyzes sleep health and lifestyle data among Generation Z using RapidMiner to identify key issues such as insomnia and stress within this demographic. The research is motivated by the increasing concerns surrounding sleep health and lifestyle choices that significantly impact overall well-being. The primary objective is to identify patterns and correlations in health data to inform targeted interventions … …Journal of Computer Science, Vol. 21, Issue 9 · 19 Oct 2025 · 3,632 accessesView PDFCite