Design and Implementation of a Healthcare Monitoring System Based on LoRa by Hayder Fadhil Jawad, Ali Al-Askery, Adnan Hussein Ali

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Global Perspectives on Addressing Systemic Issues in Music Therapy Curricula and Healthcare by Amy Clements-Cortés, Melissa Mercadal-Brotons, Hakeem Leonard, Vivian Chan, Gro Trondalen, Tao-Deva Stingl, Thomas Stegemann, Claudia Zanini

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Understanding emotional and health indicators underlying the burnout risk of healthcare workers. by Elçin Güveyi, Garry Elvin, Angela Kennedy, Zeyneb Kurt, Petia Sice, Paras Patel, Antoinette Dubruel, Drummond Heckels

“…Burnout of healthcare workers is of increasing concern as workload pressures mount. …”
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Securing fog computing in healthcare with a zero-trust approach and blockchain by Navjeet Kaur, Ayush Mittal, Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Kashif Saleem, Ehab Seif Ghith

“…Abstract As healthcare systems increasingly adopt fog computing to improve responsiveness and real-time data processing at the edge, significant security challenges emerge due to the decentralized architecture. …”
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Design, Analysis, and Control of Biomedical Healthcare Modular Wheelchair with Posture Transformation by Muhammad Zia Ur Rahman, Imran Ali, Asif Ishfaque, Muhammad Tanveer Riaz, Nasir Ahmad, M. M. Sayed Al Mahmud, Rimsha Tanveer

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Challenges and opportunities of AAM’s (Ayushman Arogya Mandir) in mitigating healthcare disparities by Ram Kumar Garg, Prabha Garg, Jyoti Bala, S.P. Subashini, M Jasline, Viji Mol, Basavaraj Mudhol, Veda Murthy

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Towards health justice: Implementing structural competency in women’s healthcare education by Daina Charnelle Fougang, Charles Mpofu, Dianne Wepa

“…Findings: The review presents (1) comprehensive evidence of health disparities in women’s healthcare, particularly affecting racial and ethnic minorities; (2) the critical role of structural competency in addressing systemic barriers and discrimination in healthcare delivery; (3) effective teaching strategies including lecture-based, case-based, team-based, and simulation-based learning approaches; Findings indicate that successful implementation of structural competency requires multi-level interventions across individual, interpersonal, clinic, community, research, and policy domains. …”
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Prevalence and exposure variables of latent infection by mycobacterium tuberculosis in healthcare workers by Raphael Sampaio dos Santos, Katerine Moraes dos Santos, Angela Maria Mendes Abreu, Cristiane Cardoso de Paula, Regina Célia Gollner Zeitoune

“…ABSTRACT Objectives: To identify in the scientific literature the prevalence, diagnostic methods, and exposure variables of latent infection by Mycobacterium tuberculosis in healthcare workers. Methods: An integrative review of the scientific literature based on the following review question: What are the available scientific evidence in the literature that address the prevalence of latent infection by Mycobacterium tuberculosis in healthcare workers and its association with possible risk factors among these workers? …”
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A Hepatitis C Educational Needs Assessment of Canadian Healthcare Providers by Reza Naghdi, Karen Seto, Carolyn Klassen, Didi Emokpare, Brian Conway, Melissa Kelley, Eric Yoshida, Hemant A. Shah

“…To assess the current knowledge and educational needs of healthcare providers (HCPs) in the area of CHC management a national online survey was conducted. …”
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Evolution of artificial intelligence in healthcare: a 30-year bibliometric study by Yaojue Xie, Yuansheng Zhai, Yuansheng Zhai, Guihua Lu, Guihua Lu

“…This study undertakes a dynamic and longitudinal bibliometric analysis of AI publications within the healthcare sector over the past three decades to investigate the current status and trends of the fusion between medicine and artificial intelligence.MethodsFollowing a search on the Web of Science, researchers retrieved all reviews and original articles concerning artificial intelligence in healthcare published between January 1993 and December 2023. …”
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Laryngopharyngeal reflux: knowledge, attitudes, and practices among primary healthcare physicians by Sultan Bin Obaid, Shahad Bin Obaid, Mohammed Mesfer Alessa, Mohammed Alnajeim, Rakan Almetary, Khalid H. Malki, Tamer Mesallam, Daniele Farneti, Mohamed Farahat

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Positive Impacts of the COVID-19 Pandemic and Public Health Measures on Healthcare by Hung Eun Hoo, Hong Chuan Loh, Alan Swee Hock Ch’ng, Fan Kee Hoo, Irene Looi

“…The world has seen an unprecedented global race in healthcare innovation and technology development in tackling the same global issue. …”
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Healthcare professionals and the public sentiment analysis of ChatGPT in clinical practice by Lizhen Lu, Yueli Zhu, Jiekai Yang, Yuting Yang, Junwei Ye, Shanshan Ai, Qi Zhou

“…Abstract To explore the attitudes of healthcare professionals and the public on applying ChatGPT in clinical practice. …”
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Awareness of Healthcare Providers About COVID-19 Vaccinations in Karbala City by Atta Ah. Mousa Al-Sarray, Rasha Haider Shareef

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Strategies for Healthcare Disaster Management in the Context of Technology Innovation: the Case of Bulgaria by R. Vazov, R. Kanazireva, T.V. Grynko, O.P. Krupskyi

Subjects: “…healthcare disaster management…”
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Access and utilisation of leprosy healthcare services in high-burden districts in Ethiopia by Solomon S. Marrye, Simangele Shakwane

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Exploring the readiness to practice of underrepresented healthcare workers: A scoping review by Sara Hussein, Liam Ishaky, Behdin Nowrouzi-Kia, Sarah Laughton, Basem Gohar

“…While extensive research exists on the readiness of certain professions like nurses, a notable gap remains concerning other healthcare workers. Purpose: This study sought to explore studies examining readiness to practice among various underrepresented healthcare workers. …”
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Healthcare Futures: Opportunities, Challenges and Risks in a Blockchain-Driven Environment by Robert Goldberg, Peter J. Pitts, Jennifer Hinkel

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A roadmap to implementing machine learning in healthcare: from concept to practice by Adam Paul Yan, Adam Paul Yan, Lin Lawrence Guo, Jiro Inoue, Santiago Eduardo Arciniegas, Emily Vettese, Agata Wolochacz, Nicole Crellin-Parsons, Brandon Purves, Steven Wallace, Azaz Patel, Medhat Roshdi, Karim Jessa, Karim Jessa, Bren Cardiff, Lillian Sung, Lillian Sung, Lillian Sung

“…BackgroundThe adoption of machine learning (ML) has been slow within the healthcare setting. We launched Pediatric Real-world Evaluative Data sciences for Clinical Transformation (PREDICT) at a pediatric hospital. …”
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Robust Prediction of Healthcare Inflation Rate With Statistical and AI Methods in Iran by Mohammad Javad Shaibani, Ali Akbar Fazaeli

“…The expected healthcare (HC) inflation rate (IR) (HCIR) is an important variable for all economic agents within HC systems. …”
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