医疗系统中的大数据:与人工智能和区块链技术的协同作用。

IF 1.5 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Integrative Bioinformatics Pub Date : 2021-08-18 DOI:10.1515/jib-2020-0035
Reyes-González Juan Pablo, Díaz-Peregrino Roberto, Soto-Ulloa Victor, Galvan-Remigio Isabel, Castillo Paul, Ogando-Rivas Elizabeth
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引用次数: 15

摘要

在过去的几十年里,大数据促进和改善了我们在医学研究和临床领域的日常工作;达到这一点的策略是了解如何组织和分析数据,以实现在成本和收益、生活质量和患者预后方面改善医疗保健系统的最终目标。本综述的主要目的是说明医疗保健大数据的现状,其特点和架构。我们还想展示大数据在区块链和人工智能等最新技术中的不同应用和主要机制,并认识到它们的优点和局限性。也许,医学教育和数字解剖学是尚未开发的领域,可能会像我们提议的那样进行有益的研究。使用这些不同的技术,医疗保健系统可以发生革命性的变化。因此,我们以医疗领域为重点,解释这些系统的基础,以鼓励医生、护士、生物技术和其他医疗保健专业人士参与其中,创造一个更高效、更有效的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Big data in the healthcare system: a synergy with artificial intelligence and blockchain technology.

In the last decades big data has facilitating and improving our daily duties in the medical research and clinical fields; the strategy to get to this point is understanding how to organize and analyze the data in order to accomplish the final goal that is improving healthcare system, in terms of cost and benefits, quality of life and outcome patient. The main objective of this review is to illustrate the state-of-art of big data in healthcare, its features and architecture. We also would like to demonstrate the different application and principal mechanisms of big data in the latest technologies known as blockchain and artificial intelligence, recognizing their benefits and limitations. Perhaps, medical education and digital anatomy are unexplored fields that might be profitable to investigate as we are proposing. The healthcare system can be revolutionized using these different technologies. Thus, we are explaining the basis of these systems focused to the medical arena in order to encourage medical doctors, nurses, biotechnologies and other healthcare professions to be involved and create a more efficient and efficacy system.

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来源期刊
Journal of Integrative Bioinformatics
Journal of Integrative Bioinformatics Medicine-Medicine (all)
CiteScore
3.10
自引率
5.30%
发文量
27
审稿时长
12 weeks
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