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Journal articles on the topic 'Healthcare cloud'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Researcher. "OPTIMIZING CLOUD SOLUTIONS: STREAMLINING HEALTHCARE DATA LAKES FOR COST EFFICIENCY." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 1460–71. https://doi.org/10.5281/zenodo.14196809.

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This comprehensive article explores the evolving landscape of healthcare data management and cloud cost optimization strategies. The article examines healthcare organizations' dual challenges in managing sensitive medical data while optimizing cloud infrastructure costs. It investigates the implementation of edge computing solutions, cloud-based data lakes, and advanced security frameworks in healthcare settings. The article provides detailed insights into compute resource management, cluster optimization, storage efficiency, and cost governance in healthcare cloud environments. Through a

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Praveen Kumar Surabhi. "Healthcare sustainability through cloud transformation." World Journal of Advanced Engineering Technology and Sciences 15, no. 2 (2025): 796–803. https://doi.org/10.30574/wjaets.2025.15.2.0602.

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This article examines how cloud transformation serves as a pivotal strategy for achieving environmental and economic sustainability in healthcare organizations. The article explores the multifaceted benefits of this technological transition. The article employs a mixed-methods approach combining quantitative measurements of ecological impacts and economic outcomes with qualitative insights into implementation processes. The article reveals that cloud computing significantly reduces healthcare's environmental footprint through enhanced energy efficiency, optimized resource utilization, and decr

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Devadass, Lingkiswaran, Sugalia Santhira Sekaran, and Rajermani Thinakaran. "CLOUD COMPUTING IN HEALTHCARE." International Journal of Students' Research in Technology & Management 5, no. 1 (2017): 25. http://dx.doi.org/10.18510/ijsrtm.2017.516.

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Information Technology (IT) has modernizedhealthcare sector via the newest development. Cloud computing in healthcare is budding and charming as crucial methodologies by most of the stakeholders. It has the special ability to offer infinite capacity and power of process in the e-healthcare sector.This leads computer to be used efficiently and exclusively by the sharing of resources in healthcare. This paper provide a review of some proposed cloud based e-healthcare architectures edge along with issues inbothtechnologies and the crucial reasons of enhancingforward to a cloud based e-healthcare

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N, Sripriya A., Rahisha Pokharl, and Manjunath C. R. "Securing Mechanism of Healthcare Data on Cloud." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (2018): 2537–41. http://dx.doi.org/10.31142/ijtsrd12770.

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Behera, Sudersan. "Application of Cloud Computing in Healthcare Domain." International Journal of Scientific Engineering and Research 5, no. 7 (2017): 289–93. https://doi.org/10.70729/ijser171673.

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Chondamrongkul, Nacha, and Pattra Chondamrongkul. "Secure Mobile Cloud Architecture for Healthcare Application." International Journal of Future Computer and Communication 6, no. 3 (2017): 76–80. http://dx.doi.org/10.18178/ijfcc.2017.6.3.493.

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Manivannan, M., G. Priyanka Reddy, G. Tharunkumar, G. Manjunath Reddy, Y. Manasa, and K. Uday Kumar. "Iot And Cloud Based Healthcare Monitoring System." International Journal of Research Publication and Reviews 6, no. 4 (2025): 4597–602. https://doi.org/10.55248/gengpi.6.0425.1480.

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Wang, Danping. "What will cloud computing bring to healthcare? - Overview of cloud applications in healthcare." International Journal of Healthcare Technology and Management 15, no. 1 (2015): 49. http://dx.doi.org/10.1504/ijhtm.2015.070540.

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Kumar, Vikas, and Aashish Bhardwaj. "Deploying Cloud-Based Healthcare Services." International Journal of Service Science, Management, Engineering, and Technology 11, no. 4 (2020): 87–100. http://dx.doi.org/10.4018/ijssmet.2020100106.

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Healthcare of individuals is very important; hence, the healthcare data needs to be managed very professionally. These requirements have become more stringent with the population aging and the growing attention to healthcare by the people. Cloud computing has emerged as a prominent solution to the computing demands of healthcare organizations, and a number of cloud-based solutions are available in the market. However, different users of the healthcare systems have different expectations from the cloud, and these must be taken into account while migrating to cloud. This article presents the imp

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Arunkumar, R. Josephius, and R. Anbuselvi. "An Enhanced Methodology to Protect the Patient Healthcare Records Using Multi-Cloud Approach." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 8 (2017): 239. http://dx.doi.org/10.23956/ijarcsse.v7i8.57.

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Now-a-days, most hospitals and medical centers is to manage huge volume of patient’s medical records into database. It is essential to collect and access this information everywhere, to increase productivity and improve quality of health cares. Need to access electronic health information across the world and improve the quality of healthcare to patients will highlight importance of using cloud computing architecture in this area. But, despite the benefits of cloud computing applications for health care, the security challenges of cloud should be addressed. In this paper, we introduce and desc

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Dr., Vinod Varma Vegesna. "Secure and Privacy-Based Data Sharing Approaches in Cloud Computing for Healthcare Applications." Mediterranean Journal of Basic and Applied Sciences (MJBAS) 4, no. 4 (2020): 194–209. https://doi.org/10.46382/MJBAS.2020.4409.

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The cloud framework is extensively employed in the medical industry for a broad range of applications including medical information storage, distribution, as well as administration. Given the advantages of cloud computing, several medical companies are exploring implementing such techniques to address various difficulties inside the medical sector. It evolved into an essential component of healthcare delivery. It may help medical companies concentrate on their activities, and medical assistance, including clinical management. This provides a safer approach for sharing confidential material wit

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Sara, Asif Mushk Ambreen Zia Muhammad Hameed ur Rahman SZ Iqbal5. "Cloud Computing in Healthcare - Investigation of Threats, Vulnerabilities, Future Challenges and Counter Measure." LC International Journal of STEM (ISSN: 2708-7123) 3, no. 1 (2021): 63–74. https://doi.org/10.5281/zenodo.6547289.

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The use of cloud computing has gradually increased over the last decade. Healthcare provision has become more scalable, efficient, and effective through the cloud-based healthcare paradigm. This flexibility of emerging computing services has opened many possibilities for health organizations that did not exist before. But with that, security and privacy concerns have also increased. With this massive rise and adoption of cloud architecture in healthcare, it’s unclear how this paradigm shift is affecting the smart healthcare industry, which is varied, complicated, and distinctive. There i

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Lin, Shu Ping, Chia Yen Hsieh, and Thao Minh Ho. "Innovative Healthcare Cloud Service Model." Applied Mechanics and Materials 543-547 (March 2014): 4511–13. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.4511.

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This study aims to discuss the determinants influencing users intention behavior toward Healthcare Cloud Services (HCS) by integrating Health Belief Model (HBF), Technology Acceptance Model (TAM), Innovation Diffusion Theory (IDT), and Information System Success (ISS). Structural Equation Model is used for data analysis. The results reveal that perceived ease of use plays the most critical role on users intention behavior, followed by pleasure and perceived barriers, implying it is essential for medical institutions to strengthen users intention behavior by advocating the cloud service benefit

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Sundharakumar, K. B., S. Dhivya, S. Mohanavalli, and R. Vinob Chander. "Cloud Based Fuzzy Healthcare System." Procedia Computer Science 50 (2015): 143–48. http://dx.doi.org/10.1016/j.procs.2015.04.076.

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Gupta, Subhanshu Mohan. "Cloud Security for Healthcare Services." Journal of Management and Service Science (JMSS) 3, no. 1 (2023): 1–9. http://dx.doi.org/10.54060/jmss.v3i1.41.

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The primary goal of this paper is to give the audience a set of principles to follow when purchasing cloud services to deliver healthcare services in order to ensure cybersecurity and the security of personal data processing, as well as a clear awareness of the accompanying obligations. The objectives are to provide a landscape of the applicable EU legislative instruments relevant to cloud services in the healthcare sector as well as an overview of the major cybersecurity and data protection challenges related to the security of personal data processing for cloud customers in the healthcare se

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Nagaraju Ankathi and Dr. Kumar Bhatia. "Investigating the Evolution of Cloud Computing: Research Perspectives." Journal of Advances and Scholarly Researches in Allied Education 21, no. 1 (2024): 195–99. http://dx.doi.org/10.29070/gjaevf64.

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Cloud computing is an economical and powerful tool for small businesses, especially in developing countries. It offers a scalable solution for enterprise resource planning, supply chain management, customer relationship management, healthcare applications, and mobile apps that can reach many users. In this paper, we examine the various concepts associated with cloud computing. Leveraging our experience with different clouds, we explore clouds from technical and business perspectives. We highlight some of the opportunities in cloud computing, emphasizing the importance of cloud technology. This

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Devi, S. Karthiga, and B. Arputhamary. "Survey of Cloud Computing in Healthcare Sector." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 7 (2017): 337. http://dx.doi.org/10.23956/ijarcsse/v7i7/0222.

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Today the volume of healthcare data generated increased rapidly because of the number of patients in each hospital increasing. These data are most important for decision making and delivering the best care for patients. Healthcare providers are now faced with collecting, managing, storing and securing huge amounts of sensitive protected health information. As a result, an increasing number of healthcare organizations are turning to cloud based services. Cloud computing offers a viable, secure alternative to premise based healthcare solutions. The infrastructure of Cloud is characterized by a h

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Rastogi, Sameer, Sudhansu Sekhar Patra, and Nayana Borah. "Investigating Healthcare Professionals’ Acceptance of Cloud Health Technologies in Rural Healthcare Centers." Seminars in Medical Writing and Education 2 (December 30, 2023): 136. https://doi.org/10.56294/mw2023136.

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Cloud health technologies have the potential to enhance healthcare accessibility and service efficiency, particularly in rural areas where medical resources are limited. These technologies enable remote consultations, digital patient records, and real-time data exchange, improving decision-making and patient outcomes. It investigates healthcare professionals' acceptance of cloud health technologies in rural healthcare centers by examining key determinants influencing adoption. A cross-sectional survey was conducted among 320 healthcare professionals selected from various rural hospitals. A str

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B Yogeshwari R, Vaishnavi. "A Secured Patient Healthcare Monitoring in Cloud Infrastructure." International Journal of Scientific Engineering and Research 2, no. 1 (2014): 27–31. https://doi.org/10.70729/j201389.

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Somani, Vikas, and Dr Munesh Chandra Trivedi. "Utilizing Cloud Computing for Stronger Healthcare Data Security." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11 (2019): 60–69. http://dx.doi.org/10.5373/jardcs/v11i11/20193169.

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Wu, Ruoyu, Gail-Joon Ahn, and Hongxin Hu. "Towards HIPAA-Compliant Healthcare Systems in Cloud Computing." International Journal of Computational Models and Algorithms in Medicine 3, no. 2 (2012): 1–22. http://dx.doi.org/10.4018/jcmam.2012040101.

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In modern healthcare environments, there is a strong need to create an infrastructure that reduces time-consuming efforts and costly operations to obtain a patient’s complete medical record and uniformly integrates this heterogeneous collection of medical data to deliver it to the healthcare professionals. As a result, healthcare providers are more willing to shift their electronic medical record (EMR) systems to clouds that can remove the geographical distance barriers among providers and patients. Since a shared electronic health record (EHR) essentially represents a virtualized aggregation

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Wagobera Edgar Kedi, Chibundom Ejimuda, and Mojeed Dayo Ajegbile. "Cloud computing in healthcare: A comprehensive review of data storage and analysis solutions." World Journal of Advanced Engineering Technology and Sciences 12, no. 2 (2024): 290–98. http://dx.doi.org/10.30574/wjaets.2024.12.2.0291.

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Cloud computing is revolutionizing the healthcare industry by offering scalable, flexible, and cost-effective solutions for data storage, analysis, and access to healthcare services. This comprehensive review explores the role, benefits, challenges, and future directions of cloud computing in healthcare. It highlights how cloud computing enhances data management and interoperability, facilitates telemedicine, ensures cost-effectiveness, and supports research and development. Despite the benefits, challenges such as data security, regulatory compliance, and system reliability must be addressed

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M., Rajakumar, and S. Thavamani Dr. "A SURVEY ON PRIVACY PRESERVING HEALTHCARE DATA USING CLOUD COMPUTING." International Journal of Engineering Research and Modern Education 4, no. 1 (2019): 10–15. https://doi.org/10.5281/zenodo.2924583.

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Cloud Computing is a new way of delivering computing resources and services. It is a model for on-demand network access to a shared pool of configurable computing resources like, networks, servers, storage, applications, and services that can be provided with minimal management effort or service provider interaction. Healthcare is faster growing way to adopt cloud computing. It is very important for every individual and essential for every country in the Globe. Electronic healthcare systems in the world are moving towards a more accessible, collaborative and more proactive way in reaching out

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Premkumar, Ganesan. "Cloud Migration Techniques for Enhancing Critical Public Services: Mobile Cloud-Based Big Healthcare Data Processing in Smart Cities." Journal of Scientific and Engineering Research 8, no. 8 (2021): 236–44. https://doi.org/10.5281/zenodo.13918309.

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Interest in "Smart Cities" is growing due to the potential improvements in residents' quality of life. The concept encompasses various areas, including smart communities, smart transportation, and smart healthcare. For Smart City services, particularly Smart healthcare, to make intelligent decisions, it is essential to share and analyze Big Healthcare Data in real-time. Seamless connectivity and access to Smart healthcare services, people, and sensors are vital, achievable only with a robust mobile and wireless communication network. Mobile Cloud Computing (MCC) offers an effective solution fo

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Rangu, Sridhar. "Streamlining Healthcare CRM Implementations for Enhanced Patient-Centric Outcomes." International journal of data science and machine learning 05, no. 01 (2025): 336–69. https://doi.org/10.55640/ijdsml-05-01-27.

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Thanks to the swift development of AI and cloud computing, the healthcare industry is experiencing major changes. Before, traditional CRM only kept simple data and helped retrieve it. Still, thanks to AI and cloud solutions, they offer more organized, tailored, and patient-oriented care compared to before. The article focuses on using AI-based cloud CRM systems in healthcare to support better patient results and more efficient day-to-day activities. Using AI in CRM platforms, companies can spot upcoming needs for patients, assist doctors in making quick decisions, and streamline many routine j

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Deneesh Narayanasamy. "Transforming Healthcare with Secure Cloud Infrastructure." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 633–44. https://doi.org/10.32628/cseit25111271.

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The healthcare industry is experiencing a significant digital transformation through the adoption of cloud computing technologies. This article explores how secure cloud infrastructure supports innovations in healthcare delivery, including telemedicine, electronic health records (EHR), and AI-driven diagnostics. It examines the critical components of secure healthcare cloud infrastructure, focusing on identity management, data protection, and network security. The article presents case studies demonstrating successful cloud implementations in both large hospital networks and regional clinic se

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Mahandule, Vikas N., Aparna D. Khade, and Vidya S. Chandgude. "Impact of Cloud Computing on Health Services." RESEARCH REVIEW International Journal of Multidisciplinary 4, no. 1 (2019): 626–30. https://doi.org/10.5281/zenodo.2552436.

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In today’s real world, technology has fast and long lasting impact on health care services. Existing system for healthcare are not scalable enough for large growing number of services provided to the increasing number of patients. Cloud computing is one of the most fast growing and recent technology for using in the development of healthcare services. Cloud computing can match the requirements of various healthcare service providers over the internet regardless of location and amount of data. The objective is to identify the current state and adoption of cloud on healthcare services. How

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Lakhani, Zainab. "The Role of Cloud Integration in Healthcare Sector: A Comprehensive Review." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 4280–85. http://dx.doi.org/10.22214/ijraset.2024.60919.

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Abstract: Cloud computing has become a game-changing technology that will have a significant impact on many other industries, including healthcare. This research paper provides a thorough analysis of cloud computing's role in the healthcare industry, emphasizing its uses, advantages, difficulties, and potential. Healthcare firms may improve patient care, streamline operations, and increase overall efficiency by utilizing the scalability, flexibility, and affordability of cloud-based solutions. Cloud computing adoption in the healthcare industry is not without its difficulties, though, as secur

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Prasad, Vivek Kumar, and Madhuri D. Bhavsar. "Monitoring IaaS Cloud for Healthcare Systems." International Journal of E-Health and Medical Communications 11, no. 3 (2020): 54–70. http://dx.doi.org/10.4018/ijehmc.2020070104.

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Healthcare functionality is enriched by cloud services which offers a perspective for broad integration and interoperability. Cloud-based facilities support healthcare systems to remain connected to remote access devices to various tasks and information. The healthcare actors should have an understanding of the risks and benefits associated with the usage of Cloud Computing resources utilization. Also, they must launch an appropriate contract-based relationship between the Cloud Service Providers and the actors of healthcare systems by means of Service Level Agreements (SLAs). The variation in

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Manake, Mangesh. "A Cloud based Mobile Healthcare System." International Journal of Computer Applications Technology and Research 7, no. 12 (2018): 416–18. http://dx.doi.org/10.7753/ijcatr0712.1002.

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Shobana Pritha, P., and Dr A. Sasi Kumar. "Healthcare information system using cloud security." International Journal of Engineering & Technology 7, no. 3.3 (2018): 477. http://dx.doi.org/10.14419/ijet.v7i2.33.14814.

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Almost all the human living in Earth forgets to take care of their health. To say specifically, the elder ones and the younger ones need con-tinuous examination to note down the variation in their health issues (either improvement or a decrement). This can be achieved through the digitalization of the data. In the present day scenario information security and privacy in healthcare systems is an issue that is growing at alarming rate. The espousal of digital records of the patient, the enlarged order, provider integration and the growing need to exchange in-formation between patients, providers

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Stantchev, Vladimir, Ricardo Colomo-Palacios, and Michael Niedermayer. "Cloud Computing Based Systems for Healthcare." Scientific World Journal 2014 (2014): 1–2. http://dx.doi.org/10.1155/2014/692619.

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Jayanthiladevi, A., P. S. Aithal, K. Krishna Prasad, K. G. Nandhakumar, and Manivel Kandasamy. "Intelligent cloud assistance for healthcare sectors." International Journal of Cloud Computing 11, no. 5/6 (2022): 492. http://dx.doi.org/10.1504/ijcc.2022.128694.

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Nandhakumar, K. G., K. Krishna Prasad, P. S. Aithal, Manivel Kandasamy, and A. Jayanthiladevi. "Intelligent cloud assistance for healthcare sectors." International Journal of Cloud Computing 11, no. 5/6 (2022): 492. http://dx.doi.org/10.1504/ijcc.2022.10053728.

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T.Abinesh and Saravanan.M.S. "Cloud Enabled Healthcare Services and Its Implications." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 936–38. https://doi.org/10.35940/ijeat.C5509.029320.

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Ever since the very first cloud service introduced by Amazon Web Services in 2006 the term ‘Cloud computing’ became buzzing all over the field of Information Technology. Not only in IT field but in all technology related fields and even in business and marketing field began to utilize the Cloud Computing Technology. This technology is so versatile and powerful that apart from running softwares in cloud platform and storing data a whole Operating system can be run. In day-today life we are using more cloud based applications involving healthcare, banking, marketing, education and we

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Chinnathambi, Jinesh Kumar. "Amplifying Big Data Utilization in Healthcare Analytics Through Cloud and Snowflake Migration." European Journal of Computer Science and Information Technology 12, no. 6 (2024): 15–23. http://dx.doi.org/10.37745/ejcsit.2013/vol12n61523.

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Amplifying the utilization of big data in healthcare analytics through cloud and Snowflake migration presents a significant opportunity to enhance data-driven insights and decision-making in the healthcare sector. This migration makes it easier to move large amounts of healthcare data to the cloud. Applications deployed in could are scalable for in-depth analysis in Health Care industry. The cloud is becoming more popular for storing data and running applications because it can easily grow with your needs, requires little to no management, improves security, and offers budget flexibility. The

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Ali, Tariq Emad, and Alwahab Dhulfiqar Zoltan. "Hierarchical Deep Learning for Robust Cybersecurity in Multi-Cloud Healthcare Infrastructures." Engineering, Technology & Applied Science Research 15, no. 1 (2025): 20358–66. https://doi.org/10.48084/etasr.8918.

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Patient safety is in danger because healthcare networks are more susceptible to cyberattacks as they become more intricate and linked. By altering data transmitted between various system components, malicious actors can hack into these networks. As cloud, edge, and IoT technologies become more widely used in contemporary healthcare systems, this difficulty is predicted to increase. This study presents a Combined Hybrid Deep Learning Framework with Layer Reuse for Cybersecurity (CHDLCY) to address this issue. This system is built to detect malicious actions that modify the metadata or payload o

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Magaya, Velmer, and Monika Gondo. "The Significance of Cloud Computing in the Healthcare Industry." International Journal of Science and Research (IJSR) 11, no. 12 (2022): 419–24. http://dx.doi.org/10.21275/sr221207225342.

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Yogeshappa, Vedamurthy Gejjegondanahalli. "Designing Cloud-Native Data Platforms for Scalable Healthcare Analytics." International Journal of Research Publication and Reviews 6, no. 3 (2025): 3784–91. https://doi.org/10.55248/gengpi.6.0325.11170.

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Mehrtak, Mohammad, SeyedAhmad SeyedAlinaghi, Mehrzad MohsseniPour, et al. "Security challenges and solutions using healthcare cloud computing." Journal of Medicine and Life 14, no. 4 (2021): 448–61. http://dx.doi.org/10.25122/jml-2021-0100.

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Cloud computing is among the most beneficial solutions to digital problems. Security is one of the focal issues in cloud computing technology, and this study aims at investigating security issues of cloud computing and their probable solutions. A systematic review was performed using Scopus, Pubmed, Science Direct, and Web of Science databases. Once the title and abstract were evaluated, the quality of studies was assessed in order to choose the most relevant according to exclusion and inclusion criteria. Then, the full texts of studies selected were read thoroughly to extract the necessary re

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R.Deepika, .Kalpana R.A, Sree R.Sharmikha, and S.Meera. "Fog Assisted Computing Architecture for Healthcare IOT." Recent Trends in Cloud Computing and Web Engineering 5, no. 3 (2023): 11–16. https://doi.org/10.5281/zenodo.8207698.

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<em>IOT generates associate new knowledge that may be processed exploitation cloud computing. except for time period remote health watching applications, the delay caused by transferring information to the cloud and back to the applying is unacceptable .Due to continuous watching of Iot devices Cloud storage got accumulated with bulk of junk files. process the information in cloud takes terribly while that makes slow alerts. To reduce the delay, the patient’s real-time data is processed by fog layer using fog node by event based triggering. In Fog Layer edge level computing is performed

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Goutham, Bilakanti. "Cloud-based Data Lakes in Healthcare: Challenges and Opportunities." International Journal of Leading Research Publication 4, no. 8 (2023): 1–12. https://doi.org/10.5281/zenodo.15196922.

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The swift digital revolution of healthcare has produced enormous amounts of data that require effective storage, handling, and analysis. Cloud-based data lakes have become a key technology to manage large-scale healthcare data sets, supporting interoperability, real-time analytics, and AI-informed decision-making. Cloud-based data lakes like AWS S3, Azure Data Lake, and Google BigQuery offer elastic storage, high-security platforms, and sophisticated computing power that allow data integration and accessibility. This article illustrates how cloud-based data lakes simplify healthcare data manag

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Umbu Zogara, Lukas, and Cecilia Dai Payon Binti Gabriel. "BIG DATA ANALYTICS FOR HEALTHCARE APPLICATIONS MOBILE CLOUD BASED." Scientific Journal of Information System 1, no. 1 (2024): 16–21. http://dx.doi.org/10.70429/sjis.v1i1.85.

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Mobile devices are increasingly becoming one and more indispensable part of our daily lives, as it facilitates to perform various useful tasks. Mobile cloud integrates mobile and cloud computing to extend the benefits of the cloud itself, and overcome limitations in times of cloud such as limited memory, CPU power, big data analytics technology allows extracting value from data that has four Vs: volume, variety, speed, and honesty. This paper discusses mobile cloud-based healthcare and big data analytics in its application. The conclusion is drawn about the design of healthcare systems using b

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Al-Shaibani, Safwan A. S. "A Framework for Implementing Prediction Algorithm over Cloud Data as a Procedure for Cloud Data Mining." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, no. 2 (2021): 1–8. http://dx.doi.org/10.54060/jieee/002.02.021.

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The cloud has become an important phrase in data storage for many reasons. Cloud services and applications are widespread in many industries including healthcare due to easy access. The limitless quantity of data available on the clouds has triggered the interest of many researchers in the recent past. It has forced us to deploy machine learning for analyzing the data to get insights as well as model building. In this paper, we have built a service on Heroku Cloud which is a cloud platform as a service (PaaS) and has 15 thousand records with 25 features. The data belongs to healthcare and is r

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Shehzad, Sofia. "The Future of Healthcare in the Cloud." Journal of Gandhara Medical and Dental Science 10, no. 1 (2023): 1–2. http://dx.doi.org/10.37762/jgmds.10-1.400.

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"Cloud" is a symbolic definition of Internet storage that can be accessed everywhere. This technology is swiftly gaining fame.1 Cloud computing is the state-of-the-art modernization in Information Technology (IT) and has provided a substitute mode for managing and accessing health data. It caters to various computing services such as intelligence, servers, storage, databases, networking, software, and analytics. Cloud computing administers fast modernization, flexible resources, and a range of economies. It is a colossal change from the traditional method due to its cost-effectiveness, high sp

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Qaisar Abbas, Muhammad Imran, and Muhammad Sajid. "Integration of Healthcare Services of Specialized Healthcare & Medical Education Department, Government of Punjab in Cloud-based System." Journal of Computing & Biomedical Informatics 2, no. 01 (2021): 96–110. http://dx.doi.org/10.56979/201/2021/24.

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To know about the emergent technology in the world is cloud computing, which may utilize in the health sector to improve the mechanism for the delivery of healthcare services of Specialized Healthcare & Medical Education Department, Govt. of the Punjab, Lahore, human resources management system, budget and expenditure, pharmaceutical services, waste management, and patient treatment plan, in a cloud-based integrated system with the motive to change the storage mode of data from manually into digitally computing mod with accessing it efficiently through the cloud. Today, the major issue is

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Gunjan Desai Rajendrakumar. "Cloud-native integration strategies for healthcare ecosystems." World Journal of Advanced Research and Reviews 26, no. 3 (2025): 905–10. https://doi.org/10.30574/wjarr.2025.26.3.2169.

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Cloud computing has become a cornerstone for modernizing healthcare IT systems, offering transformative solutions to the complex challenges of integrating vast amounts of clinical and operational data. This article investigates cloud-native integration strategies for healthcare ecosystems, examining architectural patterns that leverage containerization, microservices, and serverless computing to overcome legacy system limitations. It explores healthcare-specific API standards and protocols that enable seamless interoperability while addressing the stringent security, compliance, and governance

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Saurabh Chhabra, Hanie Amiri, Mona Rastegar, and Ataollah Dashti. "Cloud computing for healthcare systems in covid19 era." Open Access Research Journal of Biology and Pharmacy 6, no. 2 (2022): 066–69. http://dx.doi.org/10.53022/oarjbp.2022.6.2.0085.

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In recent times, cloud computing services have appeared as a promising technology in the medical care sector, especially during the COVID-19 epidemic. In this epidemic, the size of the data developed from different resources is expanding, which requires advanced technology for the storage of the data. Cloud computing appears to be a poorly appreciated sector when it comes to healthcare because of its ability to provide new services at a reasonable cost. In addition, cloud computing gives a suitable environment for promoting collaboration among health workers, sick individuals, and other partie

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Tamunobarafiri, Amavey, Shaun Aghili, and Sergey Butakov. "Data Security and Privacy Assurance Considerations in Cloud Computing for Health Insurance Providers." International Journal of Monitoring and Surveillance Technologies Research 5, no. 4 (2017): 1–22. http://dx.doi.org/10.4018/ijmstr.2017100101.

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Cloud computing has been massively adopted in healthcare, where it attracts economic, operational, and functional advantages beneficial to insurance providers. However, according to Identity Theft Resource Centre, over twenty-five percent of data breaches in the US targeted healthcare. The HIPAA Journal reported an increase in healthcare data breaches in the US in 2016, exposing over 16 million health records. The growing incidents of cyberattacks in healthcare are compelling insurance providers to implement mitigating controls. Addressing data security and privacy issues before cloud adoption

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Samant, Prajakta Sudhir. "Secure Cloud Services for the Healthcare Industry: Addressing Unique Challenges and Ensuring Compliance." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 3095–101. http://dx.doi.org/10.22214/ijraset.2024.60636.

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Abstract: The healthcare industry is increasingly adopting cloud computing to manage patient data, provide telehealth services, and support remote work. However, this adoption presents unique challenges due to stringent regulations governing the handling of personal health information (PHI), such as HIPAA in the United States and GDPR in the European Union. Noncompliance with these regulations can result in significant financial penalties, reputational damage, and loss of patient trust. This article explores the specific data security needs of the healthcare industry, the challenges in adoptin

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