医疗保健行业:跨价值链挖掘大数据潜力

Ravi Shankar Jha, P. R. Sahoo, Shaktimaya Mohapatra
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引用次数: 0

摘要

在快速发展的工业革命(工业4.0)时代,数字驱动的设备和技术对于推动无数行业的创新和创造价值至关重要。一个典型的例子是——医疗保健行业。世界各地的医疗保险公司、医院和其他供应商都在积极利用数字工具和技术,如大数据分析、Lake、机器学习、人工智能、物联网(IoT)、自然语言处理、智能传感器和物联网(IoT),以提高整体护理质量和整体流程效率和有效性。在过去的几十年里,医疗保健行业一直是整个价值链中采用大数据实践的讨论中心,因为它隐藏着巨大的潜力。有了如此丰富的信息,就有了许多与操纵大数据的每个阶段相关的挑衅,这些挑衅只能通过利用高端计算机科学成果进行大数据分析来放大,如上所述。组织良好的医疗保健生态系统、大数据的分析和放大可以通过为现代技术推动的医疗保健价值链提供独特而创新的产品和服务开辟新的路径,从而影响游戏的进程。本文强调了大数据在整个医疗价值链中的推动作用,它涉及技术、数据和业务的融合,从而产生更好的决策,并改善所有接触点的体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Healthcare Industry: Embracing Potential of Big Data across Value Chain
In the fast-moving era of the Industrial Revolution (Industry 4.0), digitally fueled devices and technologies are paramount for driving innovation and creating values across a myriad of industries. A case in point is - Healthcare Industry. Healthcare insurance companies, hospitals, and other providers around the world are belligerently leveraging digital tools and technologies such as Big Data analytics, Lake, Machine Learning, Artificial Intelligence, Internet of Things (IoT), Natural Language Processing, smart sensors, and the Internet of Things (IoT), for improving the overall quality of care and overall process efficiency and effectiveness. The Healthcare industry has been a center of discussion for embracing Big Data practice across the value chain for the past couple of decades due to the prodigious potential that is concealed in it. With so much abundant information, there have been numerous provocations related to the apiece stage of maneuvering big data that can only be amplified by leveraging high-end computer science results for big data analytics, as mentioned above. Well-organized healthcare ecosystem, analysis, and magnification of big data can influence the course of the game by opening new paths in terms of offering unique yet innovative products and services for the modern age technology-propelled healthcare value chain. This paper emphasizes the impetus of Big Data across the healthcare value chain, which involves the amalgamation of technology, data, and business, yielding better decisions and improving the experience across all touch points.
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