The Impact of Grid on Health Care Digital Repositories

Research has extensively demonstrated that healthcare industry has rapidly implemented and adopted information technology in recent years. Research in health information technology (HIT), which represents a major component of the Hawaii International Conference on System Sciences, demonstrates similar findings. In this paper, review the literature to better understand the work on HIT that researchers have conducted in HICSS from 2008 to 2017. In doing so, we identify themes, methods, technology types, research populations, context, and emerged research gaps from the reviewed literature. With much change and development in the HIT field and varying levels of adoption, this review uncovers, catalogs, and analyzes the research in HIT at HICSS in this ten-year period and provides future directions for research in the field.

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Innovative Concepts and Techniques of Data Analytics in Edge Computing Paradigms

Soumya¹,

T²,

Clinton³

2022

Research Anthology on Edge Computing Protocols, Applications, and Integration

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Edge analytics is an approach to data collection and analysis in which an automated analytical computation is performed on data at a sensor, network switch, or other device instead of waiting for the data to be sent back to a centralized data store. Cloud computing has revolutionized how people store and use their data; however, there are some areas where cloud is limited; latency, bandwidth, security, and a lack of offline access can be problematic. To solve this problem, users need robust, secure, and intelligent on-premise infrastructure for edge computing. When data is physically located closer to the users who connected to it, information can be shared quickly, securely, and without latency. In financial services, gaming, healthcare, and retail, low levels of latency are vital for a great digital customer experience. To improve reliability and faster response times, combing cloud with edge infrastructure from APC by Schneider electrical is proposed.

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The Impact of Grid on Health Care Digital Repositories

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Cited by 4 publications

References 12 publications

Grid-based architecture for sharing distributed massive datasets

Grid-based architecture for sharing distributed massive datasets

The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions

Innovative Concepts and Techniques of Data Analytics in Edge Computing Paradigms

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