数据驱动的医疗保健未来:综述

Muhammad Miftahul Amri, Saad Abbas Abed
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引用次数: 2

摘要

疾病检测、治疗和预防的未来很可能取决于数据驱动的医疗保健。在此,我们总结当前形势,强调一些新出现的问题和长期存在的困难。我们查阅了所有已经发表的关于数据驱动的医疗保健决策的研究。我们的研究表明,在医疗保健中使用数据已经改善了患者的护理和结果。但是,必须克服一些重大障碍,例如需要更有效地集成来自多个来源的数据,以及数据质量、隐私和安全性问题。此外,医疗保健数据的使用引发了重大的伦理问题。我们研究了这些结果对数据驱动型医疗保健的未来意味着什么,并就未来的研究重点提出了建议。我们得出的结论是,数据驱动的医疗保健有可能改变医疗保健服务并提高患者的治疗效果,但必须仔细考虑这种方法固有的困难和危险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Data-Driven Future of Healthcare: A Review
The future of disease detection, treatment, and prevention may very well lie in data-driven healthcare. Here, we take stock of where things stand and highlight certain emerging issues and long-standing difficulties. We looked at all the research that has been published on the topic of data-driven healthcare decision-making. Our research shows that the use of data in healthcare has already improved patient care and results. However, there are substantial obstacles that must be overcome, such as the need to more effectively integrate data from multiple sources, as well as issues with data quality, privacy, and security. Furthermore, healthcare data use raises significant ethical concerns. We examine what these results mean for the future of data-driven healthcare and offer suggestions on where future research should focus. We conclude that data-driven healthcare has the potential to transform healthcare delivery and enhance patient outcomes, but that the inherent difficulties and dangers of this approach must be carefully considered.
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