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The promising future of healthcare services: When big data analytics meets wearable technology

机译:医疗服务的光明前景:大数据分析与可穿戴技术相结合时

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摘要

As policy-makers and business practitioners across the globe expend extraordinary effort toward the field of e-health, the thriving development of healthcare-wearable technology is creating great opportunities and posing a remarkable future for healthcare services. This paper employs a game theory model to investigate the dynamics of wearable device market. We extend the two-dimensional product differentiation model by incorporating consumer diversity, consumer density, and firms' big data analytics (BDA) investment strategy. Our model reveals that with differentiated consumer densities firms are more likely to engage in quality, competition and the firm that invests in BDA can achieve higher profits. Furthermore, the overall quality of biomedical and healthcare services can be improved under various market conditions. Our findings provide practical guidance to wearable device manufacturers on optimizing competition strategies and offer insights to social planners on potential policy-making to promote better healthcare services. (C) 2016 Elsevier B.V. All rights reserved.
机译:随着全球决策者和商业从业人员在电子医疗领域投入巨大的精力,可穿戴式医疗技术的蓬勃发展正在创造巨大的机遇,并为医疗服务创造了光明的未来。本文采用博弈论模型研究可穿戴设备市场的动态。我们通过合并消费者多样性,消费者密度和公司的大数据分析(BDA)投资策略来扩展二维产品差异化模型。我们的模型表明,通过差异化的消费者密度,公司更有可能从事质量,竞争,而投资BDA的公司可以实现更高的利润。此外,可以在各种市场条件下提高生物医学和保健服务的整体质量。我们的发现为可穿戴设备制造商提供有关优化竞争策略的实用指导,并为社会计划者提供有关制定潜在政策以促进更好的医疗服务的见解。 (C)2016 Elsevier B.V.保留所有权利。

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