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Big Data Analytics in Healthcare — A Systematic Literature Review and Roadmap for Practical Implementation

机译:医疗保健大数据分析 - 一种系统文献综述和实际实施路线图

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摘要

The advent of healthcare information management systems(HIMSs)continues to produce large volumes of healthcare data for patient care and compliance and regulatory requirements at a global scale.Analysis of this big data allows for boundless potential outcomes for discovering knowledge.Big data analytics(BDA)in healthcare can,for instance,help determine causes of diseases,generate effective diagnoses,enhance Qo S guarantees by increasing efficiency of the healthcare delivery and effectiveness and viability of treatments,generate accurate predictions of readmissions,enhance clinical care,and pinpoint opportunities for cost savings.However,BDA implementations in any domain are generally complicated and resource-intensive with a high failure rate and no roadmap or success strategies to guide the practitioners.In this paper,we present a comprehensive roadmap to derive insights from BDA in the healthcare(patient care)domain,based on the results of a systematic literature review.We initially determine big data characteristics for healthcare and then review BDA applications to healthcare in academic research focusing particularly on No SQL databases.We also identify the limitations and challenges of these applications and justify the potential of No SQL databases to address these challenges and further enhance BDA healthcare research.We then propose and describe a state-of-the-art BDA architecture called Med-BDA for healthcare domain which solves all current BDA challenges and is based on the latest zeta big data paradigm.We also present success strategies to ensure the working of Med-BDA along with outlining the major benefits of BDA applications to healthcare.Finally,we compare our work with other related literature reviews across twelve hallmark features to justify the novelty and importance of our work.The aforementioned contributions of our work are collectively unique and clearly present a roadmap for clinical administrators,practitioners and professionals to successfully implement BDA initiatives in their organizations.

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  • 来源
    《自动化学报(英文版)》 |2021年第1期|1-22|共22页
  • 作者单位

    Faculty of Computer Science Karachi Institute of Economics and Technology Karachi 75190 Pakistan;

    Faculty of Computer Science Institute of Business Administration Karachi 75270 Pakistan;

    School of Engineering and Technology CQ University Melbourne 3000 Australia;

    Data Science Research Institute Swinburne University of Technology Hawthorn 3122 Australia;

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  • 正文语种 eng
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