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医疗保健市场细分与数据挖掘:一项系统综述。

Healthcare market segmentation and data mining: A systematic review.

作者信息

Swenson Eric R, Bastian Nathaniel D, Nembhard Harriet B

机构信息

a Pennsylvania State University, University Park , Pennsylvania , USA.

b United States Military Academy, West Point , New York , USA.

出版信息

Health Mark Q. 2018 Jul-Sep;35(3):186-208. doi: 10.1080/07359683.2018.1514734. Epub 2018 Nov 23.

Abstract

Providing insight into healthcare consumers' behaviors and attitudes is critical information in an environment where healthcare delivery is moving rapidly towards patient-centered care that is premised upon individuals becoming more active participants in managing their health. A systematic review of the literature concerning healthcare market segmentation and data mining identified several areas for future health marketing research. Common themes included: (a) reliance on survey data, (b) clustering methods, (c) limited classification modeling after clustering, and (d) detailed analysis of clusters by demographic data. Opportunities exist to expand health-marketing research to leverage patient level data with advanced data mining methods.

摘要

在医疗服务正迅速朝着以患者为中心的护理发展的环境中,洞察医疗消费者的行为和态度是至关重要的信息,这种护理模式的前提是个人在管理自身健康方面发挥更积极的作用。一项关于医疗市场细分和数据挖掘的文献系统综述确定了未来健康营销研究的几个领域。常见主题包括:(a) 对调查数据的依赖;(b) 聚类方法;(c) 聚类后有限的分类建模;以及 (d) 通过人口统计数据对聚类进行详细分析。利用先进的数据挖掘方法扩展健康营销研究以利用患者层面数据的机会是存在的。

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