Suppr超能文献

我们能从亚马逊学到什么以用于临床决策支持系统。

What We Can Learn from Amazon for Clinical Decision Support Systems.

作者信息

Abid Sidra, Keshavjee Karim, Karim Arsalan, Guergachi Aziz

机构信息

InfoClin Inc, Toronto, ON.

Ryerson University, Toronto, ON.

出版信息

Stud Health Technol Inform. 2017;234:1-5.

Abstract

Health care continue to lag behind other industries, such as retail and financial services, in the use of decision-support-like tools. Amazon is particularly prolific in the use of advanced predictive and prescriptive analytics to assist its customers to purchase more, while increasing satisfaction, retention, repeat-purchases and loyalty. How can we do the same in health care? In this paper, we explore various elements of the Amazon website and Amazon's data science and big data practices to gather inspiration for re-designing clinical decision support in the health care sector. For each Amazon element we identified, we present one or more clinical applications to help us better understand where Amazon's.

摘要

在使用类似决策支持的工具方面,医疗保健行业仍落后于零售和金融服务等其他行业。亚马逊在使用先进的预测性和规范性分析方面特别多产,以帮助其客户增加购买量,同时提高满意度、留存率、重复购买率和忠诚度。我们如何在医疗保健领域做到同样的事情呢?在本文中,我们探索亚马逊网站的各种元素以及亚马逊的数据科学和大数据实践,以获取为重新设计医疗保健领域的临床决策支持提供灵感。对于我们确定的每个亚马逊元素,我们都提出一个或多个临床应用,以帮助我们更好地理解亚马逊的……之处。

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