The role of big data analytics in improving the quality of healthcare services in the Italian context: The mediating role of risk management

IF 11.1 1区管理学 Q1 ENGINEERING, INDUSTRIAL

Technovation Pub Date : 2024-04-17 DOI:10.1016/j.technovation.2024.103010

L.J. Basile, N. Carbonara, U. Panniello, R. Pellegrino

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引用次数: 0

Abstract

Digital transformation is revolutionizing many industries and increasingly more organizations are adopting digital technologies in their processes. The adoption and integration of digital technologies are boosting the production of data that can be collected, analyzed, and exploited for decision-making through big data analytics. Data can play a significant role in healthcare since it is a complex system where every decision is affected by risk and uncertainty. This study investigates how big data analytics (BDA) enables the use of risk management (RM) practices, resulting in improving the quality of healthcare services (QoHS). It also analyses the indirect effect of BDA on the QoHS through the use of RM practices. To this aim, 204 responses from Italian healthcare professionals were collected and investigated via the lens of Organizational Information Processing Theory using PLS-SEM methodology. The results revealed that BDA contributed positively and significantly to the use of RM practices, while only the use of risk identification and monitoring practices impact healthcare service quality significantly and mediate the relationship between BDA and QoHS. The results provide managerial insights about the use of data to support the decision-making process in healthcare showing that decision-makers should focus their effort on integrating data-driven tools and capabilities with RM practices to reduce the uncertainty surrounding this environment and ensure a higher quality of healthcare services.

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大数据分析在提高意大利医疗服务质量中的作用：风险管理的中介作用

数字化转型正在彻底改变许多行业，越来越多的组织正在其流程中采用数字化技术。数字技术的采用和整合正在促进数据的产生，这些数据可以通过大数据分析进行收集、分析和利用，以用于决策。数据可在医疗保健领域发挥重要作用，因为医疗保健是一个复杂的系统，每个决策都受到风险和不确定性的影响。本研究探讨了大数据分析（BDA）如何促进风险管理（RM）实践的使用，从而提高医疗服务质量（QoHS）。研究还分析了 BDA 通过使用风险管理实践对 QoHS 的间接影响。为此，研究人员收集了 204 份来自意大利医疗保健专业人员的回复，并通过组织信息处理理论的视角，使用 PLS-SEM 方法进行了研究。结果表明，BDA 对 RM 实践的使用有显著的正向促进作用，而只有风险识别和监控实践的使用对医疗服务质量有显著影响，并在 BDA 和 QoHS 之间起到中介作用。研究结果提供了有关使用数据支持医疗决策过程的管理见解，表明决策者应集中精力将数据驱动工具和能力与 RM 实践相结合，以减少围绕这一环境的不确定性，并确保更高的医疗服务质量。

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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来源期刊

Technovation 管理科学-工程：工业

CiteScore

15.10

自引率

11.20%

发文量

208

审稿时长

91 days

期刊介绍： The interdisciplinary journal Technovation covers various aspects of technological innovation, exploring processes, products, and social impacts. It examines innovation in both process and product realms, including social innovations like regulatory frameworks and non-economic benefits. Topics range from emerging trends and capital for development to managing technology-intensive ventures and innovation in organizations of different sizes. It also discusses organizational structures, investment strategies for science and technology enterprises, and the roles of technological innovators. Additionally, it addresses technology transfer between developing countries and innovation across enterprise, political, and economic systems.