Loop Residual Attention Network for Automatic Segmentation of COVID-19 Chest X-Ray Images by Gongtao Yue, Jie Lin, Ziheng An, Yongsheng Yang

“…As COVID-19 continues to put pressure on the global healthcare industry, using artificial intelligence to analyze chest X-rays (CXR) has become an effective way to diagnose the virus and treat patients. …”
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A Descriptive Study of Webpage Designs for Posting Privacy Policies for Different-Sized US Hospitals to Create an Assessment Framework by Karen Schnell, Kaushik Roy, Madhuri Siddula

“…For the policies to be legally binding, a person must be able to find them. In the healthcare industry, where sensitive data are being collected, research on how a user navigates to privacy policies for different size hospital websites is limited. …”
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Risk Perception of Healthcare Workers Regarding Polymer Medical Waste Management by Jasneet Kaur, Sheela Upendra and Shital Barde

“…Despite the relatively small amounts produced, medical waste is a significant issue for the government and the healthcare industry primarily because it poses threats to persons and the environment. …”
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EFFECTS OF GREEN OPERATIONAL PRACTICES AND E-CRM ON PATIENT SATISFACTION AMONG INDONESIAN HOSPITALS: EXPLORING THE MODERATING ROLE OF GREEN SOCIAL INFLUENCE by Mahrinasari MS, Muhammad Haseeb, Satria Bangsawan, Mohamad Fazli Sabri, Norzaidi Mohd Daud

“… This study aims to investigate the implementation of environmentally friendly operational practices in the healthcare industry. Green operational practices or sustainable practices are acquiring widespread attention in manufacturing and other production-related industries. …”
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Blue 405 nm LED light effectively inactivates bacterial pathogens on substrates and packaging materials used in food processing by Hanyu Chen, Yifan Cheng, Carmen I. Moraru

“…These results demonstrate significant promise of 405 nm LEDs for antimicrobial applications in food processing and handling and the healthcare industry.…”
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A Convergent Parallel Study on Knowledge, Perceptions, and Attitudes of Mainstream Workers during COVID-19 by Farhan Alshammari, Romeo Mostoles Jr, Eddieson Pasay-an, Sultan Alshammari

“…This is to support those in the healthcare industry in shaping an intervention strategy that emphasizes both preparation and protection.…”
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Investigating the role of Cybersecurity's perceived threats in the adoption of health information systems by Yiyu Zhan, Sayed Fayaz Ahmad, Muhammad Irshad, Muna Al-Razgan, Emad Marous Awwad, Yasser A. Ali, Ahmad Y.A. Bani Ahmad Ayassrah

“…The findings show that external attacks and technological factors are the main barriers to adopting information systems, while employee factors have no significant impact on the adoption of information systems in the healthcare industry of Pakistan. The study provides implications for healthcare policy makers, professionals and organziations regarding the successful adoption of health information system.…”
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Feature selection using grasshopper optimization algorithm in diagnosis of diabetes disease by Seyed Reza Kamel, Reyhaneh Yaghoubzadeh

“…Early detection of diabetes remains necessary in today's healthcare industry in order to reduce the mortality rate caused by kidney failure and loss of vision that both often lead to death. …”
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Analysis of youth sports physical health data based on cloud computing and gait awareness by Jiang Haidong

“…In turn, the Smart Health Life Growth Cloud system changes the traditional medical model and greatly improves the information and intelligence of the healthcare industry. Using the exercise individual health evaluation model in this article is controlled to be within 20%, thus concluding that the exercise individual health evaluation model proposed in this article can predict the exercise limit of an exercise individual more accurately.…”
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Drone-as-a-Service (DaaS) for COVID-19 self-testing kits delivery in smart healthcare setups: A technological perspective by Hafiz Suliman Munawar, Junaid Akram, Sara Imran Khan, Fahim Ullah, Bong Jun Choi

“…Drones have gained increasing attention in the healthcare industry for mobility and accessibility to remote areas. …”
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Exploring strategic innovation in the success of private health care business: A conceptual model by Onai Dube, Joshua Simuka, Charles Chitumba

“…These objectives are important for Zimbabwe since Covid-19 wreaked havoc on the country`s healthcare industry in ways no one expected. In Zimbabwe, state hospitals were overburdened, so those with more disposable income flocked to private hospitals. …”
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Ransomware Modeling Based on a Process Mining Approach by Ebrahim Mahdipour, Ali Aghamohammadpour, Iman Attarzadeh

“…In this study, the presented model was evaluated using thirty common malwares in the healthcare industry. The approach demonstrates that this model could successfully classify ninety percent of malware instances as ransomware and non-ransomware. …”
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Federated Learning to Safeguard Patients Data: A Medical Image Retrieval Case by Gurtaj Singh, Vincenzo Violi, Marco Fisichella

“…We conducted a systematic study to analyze the current state of FL in the healthcare industry and explore both the limitations of this technology and its potential. …”
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Connecting the World of Healthcare Virtually: A Scoping Review on Virtual Care Delivery by Cindy (Zhirui) Li, Elizabeth M. Borycki, Andre W. Kushniruk

“…A scoping review was conducted to define the meaning of virtual care, understand how virtual care has influenced the healthcare industry and is being expanded to complement the existing healthcare system, and describe the outcomes of using virtual care for patients and providers. …”
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How to implement a decision support for digital health: Insights from design science perspective for action research in tuberculosis detection by Nkiruka Bridget Odu, Rajesh Prasad, Clement Onime, Birendra Kumar Sharma

“…Association rule mining has gained much popularity in facilitating disease diagnosis and the healthcare industry's decision-making process. The cases of Drug Resistance Tuberculosis (DR-TB) have substantially increased in recent times and the factors driving its rapid rise have not been clearly identified. …”
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Modernizing the Legacy Healthcare System to Decentralize Platform Using Blockchain Technology by Abdulaziz Aljaloud, Abdul Razzaq

“…The article aims to address the challenges of complex medical procedures, large-scale medical data management, and cost optimization in the healthcare industry. By employing blockchain technology, the article aims to enhance data security and privacy while ensuring the integrity and efficiency of the healthcare system. …”
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A lightweight and robust authentication scheme for the healthcare system using public cloud server. by Irshad Ahmed Abbasi, Saeed Ullah Jan, Abdulrahman Saad Alqahtani, Adnan Shahid Khan, Fahad Algarni

“…A public cloud server is posed with numerous threats; an adversary can easily enter the server to access sensitive information, especially for the healthcare industry, which offers services to patients, researchers, labs, and hospitals in a flexible way with minimal operational costs. …”
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Legal Regulation of the State Personnel Policy in the Field of Health Care in Ukraine by Malihon Yuliia M., Motailo Oleksii V.

“…It is determined that the creation of a legal framework for the effective functioning and development of the state personnel policy as for the healthcare system is a priority for improving the effectiveness of the healthcare industry. The article analyzes the existing legal regulation on improving the staffing of the healthcare system in Ukraine, namely: articles of the Constitution of Ukraine, provisions of the Labour Code, articles of the Law of Ukraine «On Employment», articles of the Law of Ukraine «On Collective Bargaining Agreements», articles of the Law of Ukraine «On Labour Protection», provisions of the Law of Ukraine «On Vacations», articles of the Law of Ukraine «On Labour Remuneration», provisions of the Law of Ukraine «Fundamentals of Legislation of Ukraine on Health Care», and provisions of the Law of Ukraine «On Improving the Accessibility and Quality of Healthcare in the Countryside». …”
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An ensemble Machine Learning approach for predicting Type-II diabetes mellitus based on lifestyle indicators by Shahid Mohammad Ganie, Majid Bashir Malik

“…The proposed framework can be used in the healthcare industry for the early prediction of diabetes. …”
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New statistical process control charts for overdispersed count data based on the Bell distribution by LAION L. BOAVENTURA, PAULO H. FERREIRA, ROSEMEIRE L. FIACCONE, PEDRO L. RAMOS, FRANCISCO LOUZADA

“…However, several studies recognize the need for alternative control charts that allow for data overdispersion, which can be encountered in many fields, including ecology, healthcare, industry, and others. The Bell distribution, recently proposed by Castellares et al. (2018), is a particular solution of a multiple Poisson process able to accommodate overdispersed data. …”
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