Network Effects in Health Information Exchange Growth

Niam Yaraghi, Anna Ye Du, R. Sharman, R. Gopal, R. Ramesh
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引用次数: 24

Abstract

The importance of the Healthcare Information Exchange (HIE) in increasing healthcare quality and reducing risks and costs has led to greater interest in identifying factors that enhance adoption and meaningful use of HIE by healthcare providers. In this research we study the interlinked network effects between two different groups of physicians -- primary care physicians and specialists -- as significant factors in increasing the growth of each group in an exchange. An analytical model of interlinked and intragroup influences on adoption is developed using the Bass diffusion model as a basis. Adoption data on 1,060 different primary and secondary care physicians over 32 consecutive months was used to test the model. The results indicate not only the presence of interlinked effects, but also that their influence is stronger than that of the intragroup. Further, the influence of primary care physicians on specialists is stronger than that of specialists on primary care physicians. We also provide statistical evidence that the new model performs better than the conventional Bass model, and the assumptions of diffusion symmetry in the market are statistically valid. Together, the findings provide important guidelines on triggers that enhance the overall growth of HIE and potential marketing strategies for HIE services.
健康信息交换增长中的网络效应
由于医疗保健信息交换(HIE)在提高医疗保健质量和降低风险和成本方面的重要性,人们对确定能够促进医疗保健提供者采用和有意义地使用HIE的因素更感兴趣。在这项研究中,我们研究了两个不同的医生群体——初级保健医生和专家——之间的相互联系的网络效应,这是促进交流中每个群体增长的重要因素。以Bass扩散模型为基础,建立了一个相互联系和群体内部影响对采用的分析模型。对1060名不同的初级和二级保健医生连续32个月的采用数据用于测试该模型。结果表明,不仅存在相互关联的影响,而且它们的影响比群体内部的影响更强。此外,初级保健医生对专科医生的影响大于专科医生对初级保健医生的影响。我们还提供了统计证据,表明新模型优于传统的Bass模型,并且市场中扩散对称的假设在统计上是有效的。总之,这些发现为促进HIE整体增长的触发因素和HIE服务的潜在营销策略提供了重要指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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