Over the past decade, data recorded (due to digitization) in healthcare sectors have continued to increase, intriguing the thought about big data in healthcare. There already exists plenty of information, ready for analysis. Researchers are always putting their best effort to find valuable insight from the healthcare big data for quality medical services. This article provides a systematic review study on healthcare big data based on the systematic literature review (SLR) protocol. In particular, the present study highlights some valuable research aspects on healthcare big data, evaluating 34 journal articles (between 2015 and 2019) according to the defined inclusion-exclusion criteria. More specifically, the present study focuses to determine the extent of healthcare big data analytics together with its applications and challenges in healthcare adoption. Besides, the article discusses big data produced by these healthcare systems, big data characteristics, and various issues in dealing with big data, as well as how big data analytics contributes to achieve a meaningful insight on these data set. In short, the article summarizes the existing literature based on healthcare big data, and it also helps the researchers with a foundation for future study in healthcare contexts.

中文翻译：

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医疗大数据的系统回顾

在过去十年中，医疗保健行业记录的数据（由于数字化）持续增加，引发了对医疗保健大数据的思考。已经存在大量信息，可供分析。研究人员一直在尽最大努力从医疗大数据中寻找有价值的见解，以提供优质的医疗服务。本文提供了基于系统文献综述（SLR）协议的医疗大数据系统综述研究。特别是，本研究突出了医疗大数据的一些有价值的研究方面，根据既定的纳入排除标准评估了 34 篇期刊文章（2015 年至 2019 年）。进一步来说，本研究的重点是确定医疗大数据分析的范围及其在医疗保健采用中的应用和挑战。此外，本文还讨论了这些医疗保健系统产生的大数据、大数据特征和处理大数据的各种问题，以及大数据分析如何有助于对这些数据集进行有意义的洞察。简而言之，本文总结了基于医疗大数据的现有文献，也有助于研究人员为未来在医疗环境中的研究打下基础。