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    의료 산업 분야에서 클라우드 컴퓨팅의 기회와 도전 = The Opportunities and Challenges of Cloud Computing in Healthcare Industries

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    https://www.riss.kr/link?id=A108894118

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    The latest trendy new approach to successfully delivering IT services is through cloud computing. Medicine is becoming an increasingly data-intensive field, which generates large amounts of data that must be stored and later accessed. This has led to a growing need for dynamic and scalable resources. The main body of this research shows that cloud technologies that fulfill these requirements can improve service quality in healthcare. Cloud computing, like any other technological advancement, must be thoroughly evaluated before it is widely used. Many researchers and clinicians are interested in the availability of large-scale, rapidly available, reconfigurable resources such as virtual systems, platforms, and applications at minimal service costs. This study thoroughly analyzes the academic literature on cloud computing in healthcare. It proposes a classification methodology into five categories: cloud-based green healthcare in healthcare, cloud-based framework development, virtual machine deployment in healthcare, cloud-based healthcare security, and broker development in healthcare. The authors reviewed 227 papers and narrowed them down to 40. The modern concept of "service" emphasizes creative approaches to delivering value to customers. Future research should include a broader view of IT service delivery with service value components such as scalability, reliability, and security and should investigate the benefits and challenges of data sharing as well as the regulatory compliance of CSPs providing these services. The integration of cloud computing for decision support in the healthcare industry holds great potential for academics and practitioners, as cloud-based systems can provide access to the multidimensional data needed for decision making.
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    The latest trendy new approach to successfully delivering IT services is through cloud computing. Medicine is becoming an increasingly data-intensive field, which generates large amounts of data that must be stored and later accessed. This has led to ...

    The latest trendy new approach to successfully delivering IT services is through cloud computing. Medicine is becoming an increasingly data-intensive field, which generates large amounts of data that must be stored and later accessed. This has led to a growing need for dynamic and scalable resources. The main body of this research shows that cloud technologies that fulfill these requirements can improve service quality in healthcare. Cloud computing, like any other technological advancement, must be thoroughly evaluated before it is widely used. Many researchers and clinicians are interested in the availability of large-scale, rapidly available, reconfigurable resources such as virtual systems, platforms, and applications at minimal service costs. This study thoroughly analyzes the academic literature on cloud computing in healthcare. It proposes a classification methodology into five categories: cloud-based green healthcare in healthcare, cloud-based framework development, virtual machine deployment in healthcare, cloud-based healthcare security, and broker development in healthcare. The authors reviewed 227 papers and narrowed them down to 40. The modern concept of "service" emphasizes creative approaches to delivering value to customers. Future research should include a broader view of IT service delivery with service value components such as scalability, reliability, and security and should investigate the benefits and challenges of data sharing as well as the regulatory compliance of CSPs providing these services. The integration of cloud computing for decision support in the healthcare industry holds great potential for academics and practitioners, as cloud-based systems can provide access to the multidimensional data needed for decision making.

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    참고문헌 (Reference)

    1 이욱현, "클라우드 기반 지능형 원격 디지털 헬스케어 시스템에 관한 연구" 한국지식정보기술학회 17 (17): 1353-1363, 2022

    2 L. Liu, "iMAGE cloud : medical image processing as a service for regional healthcare in a hybrid cloud environment" 21 (21): 563-571, 2016

    3 Thomas, M, "https://builtin.com/cloud-computing/cloud-comp uting-in-healthcare"

    4 C. S. Wu, "e-healthcare web service broker infrastructure in cloud environment" 1-6, 2012

    5 J. Yang, "Workload predicting-based automatic scaling in service clouds" 810-815, 2013

    6 A. J. Ryu, "Why mayo clinic is embracing the cloud and what this means for cinicians and researchers" 5 (5): 969-973, 2021

    7 E. Rachkidi, "Towards efficient automatic scaling and adaptive cost-optimized ehealth services in cloud" 1-6, 2015

    8 V. Motochi, "The role of virtualization towards green computing and environmental sustainability" 6 (6): 851-858, 2017

    9 The Economist Intelligence Unit, "The adoption of cloud computing in five industry" The Economist Intelligence Unit(EIU) 2015

    10 F. Alharbi, "Strategic value of cloud computing in healthcare organisations using the balanced scorecard approach: a case study from a saudi hospital" Elsevier Science 332-339, 2016

    1 이욱현, "클라우드 기반 지능형 원격 디지털 헬스케어 시스템에 관한 연구" 한국지식정보기술학회 17 (17): 1353-1363, 2022

    2 L. Liu, "iMAGE cloud : medical image processing as a service for regional healthcare in a hybrid cloud environment" 21 (21): 563-571, 2016

    3 Thomas, M, "https://builtin.com/cloud-computing/cloud-comp uting-in-healthcare"

    4 C. S. Wu, "e-healthcare web service broker infrastructure in cloud environment" 1-6, 2012

    5 J. Yang, "Workload predicting-based automatic scaling in service clouds" 810-815, 2013

    6 A. J. Ryu, "Why mayo clinic is embracing the cloud and what this means for cinicians and researchers" 5 (5): 969-973, 2021

    7 E. Rachkidi, "Towards efficient automatic scaling and adaptive cost-optimized ehealth services in cloud" 1-6, 2015

    8 V. Motochi, "The role of virtualization towards green computing and environmental sustainability" 6 (6): 851-858, 2017

    9 The Economist Intelligence Unit, "The adoption of cloud computing in five industry" The Economist Intelligence Unit(EIU) 2015

    10 F. Alharbi, "Strategic value of cloud computing in healthcare organisations using the balanced scorecard approach: a case study from a saudi hospital" Elsevier Science 332-339, 2016

    11 K. Modi, "Securing healthcare information over cloud using hybrid approach" Springer 63-74, 2019

    12 Q. Huang, "Secure identity-based data sharing and profile matching for mobile healthcare social networks in cloud computing" 6 : 36584-36594, 2018

    13 U. H. Lee, "Risk facors and issues in record management based cloud services" 12 (12): 2017

    14 N. S. Godbole, "Research into making healthcare green with cloud, green IT, and data science to reduce healthcare costs and combat climate change" 189-195, 2018

    15 M. I. Tariq, "Prioritization of information security controls through fuzzy AHP for cloud computing networks and wireless sensor networks" 20 (20): 1-36, 2020

    16 J. Lu, "Optimal machine placement based on improved genetic algorithm in cloud computing" 78 : 3448-3476, 2022

    17 A. Benharref, "Novel cloud and SOA-based framework for e-health monitoring using wireless biosensors" 18 (18): 46-55, 2014

    18 L. Ogiela, "Intelligent data management and security in cloud computing" 20 (20): 1-10, 2020

    19 H. Kurdi, "HealthyBroker : A trustworthy blockchain-based multi-cloud broker for patient-centered eHealth Services" 8 (8): 1-17, 2019

    20 IBM., "European union consortium launches advanced cloud computing project with hospital and smart power grid provider" 2022

    21 X. Wang, "Enabling smart personalized healthcare: A hybrid mobile-cloud approach for ECG telemonitoring" 18 (18): 739-745, 2014

    22 N. Roy, "Efficient autoscaling in the cloud using predictive models for workload forecasting" 500-507, 2011

    23 W. M. Omar, "E-health support services based on service-oriented architecture" IT professional 35-41, 2006

    24 J. Wang, "Design and optimization of traffic balance broker for cloud-based telehealth platform" 147-154, 2013

    25 A. Ali, "Cloud-based business services innovation : A risk management model" 37 (37): 639-649, 2017

    26 S. J. Weng, "Cloud image data center for healthcare network in Taiwan" 40 (40): 1-11, 2016

    27 M. Jung, "Cloud computing or u-health and automotive environment" 495-500, 2013

    28 F. Kart, "Building a distributed e-healthcare system using SOA" IT professional 24-30, 2008

    29 K. A. Shakil, "BAMHealthCloud : A biometric authentication and data management system for healthcare data in cloud" 32 (32): 57-64, 2020

    30 Y. Ahn, "Autoscaling method in hybrid cloud for scientific applications" 1-4, 2014

    31 L. Garcia, "An m-health application for cerebral stroke detection and monitoring using cloud services" 319-327, 2018

    32 S. V. Peddi, "An intelligent cloud-based data processing broker for mobile e-health multimedia applications" 66 : 71-86, 2017

    33 Y. W. Ahn, "An autoscaling mechanism for virtual resources to support mobile, pervasive, real-time healthcare applications in cloud computing" 27 (27): 62-68, 2013

    34 R. Pushpa, "Adaptive hybrid optimization based virtual machine placement in cloud computing" 1-9, 2022

    35 X. Li, "A trust-aware service brokering scheme for multiple cloud collaborative services" 10 : 1402-1415, 2015

    36 S. Mejahed, "A multi-objective algorithm for virtual machine placement in cloud environments using a hybrid of particle swarm optimization and flower pollination optimization" 1-27, 2022

    37 N. Alharbe, "A fuzzy grouping genetic algorithm for solving a real-world virtual machine placement problem in a healthcare-cloud" 15 (15): 1-17, 2022

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