Department of Radiology, Hospital Angeles del Pedregal, Mexico City, Mexico.
Department of Technology Innovation, hdm.world, Florida, USA.
J Integr Bioinform. 2021 Aug 18;19(1):20200035. doi: 10.1515/jib-2020-0035.
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.
在过去的几十年中，大数据已经为我们在医学研究和临床领域的日常工作提供了便利和改进；实现这一目标的策略是了解如何组织和分析数据，以便最终实现改善医疗保健系统的目标，包括成本效益、生活质量和患者预后。本综述的主要目的是说明大数据在医疗保健领域的现状、其特点和架构。我们还想展示大数据在最新技术（如区块链和人工智能）中的不同应用和主要机制，认识到它们的优势和局限性。也许，医学教育和数字解剖是尚未开发的领域，我们建议对此进行研究。可以利用这些不同的技术来彻底改变医疗保健系统。因此，我们正在解释这些系统的基础，重点是医学领域，以鼓励医生、护士、生物技术和其他医疗保健专业人员参与其中，创建一个更高效和有效的系统。
