医疗保健领域的数字化转型:评估数字技术在管理支持流程中的作用

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-09-28 DOI:10.1016/j.techfore.2024.123781
Marianna Mauro , Guido Noto , Anna Prenestini , Fabrizia Sarto
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引用次数: 0

摘要

本研究采用波特的医疗机构价值链模型和技术-组织-环境框架,探讨数字技术对管理和行政支持流程的影响,并确定采用数字技术的决定因素。我们采用德尔菲法研究了六类数字技术(物联网、人工智能和机器学习、大数据和商业分析、云存储和计算、社交媒体和区块链)。研究采用归纳定性方法,由 11 位专家参与,就最具影响力的数字技术以及阻碍或限制数字化转型的因素收集意见。我们发现,物联网和人工智能及机器学习对医疗机构的行政支持流程影响最大。区块链的相关性最小。专家们认为,员工的技能和能力是确保成功实现数字化转型的最关键决定因素。这些结果为有关医疗保健领域数字化转型的文献做出了贡献,因为以前的文献主要关注技术对临床流程的影响。这些研究结果对政策制定者和从业人员也很有帮助,有助于他们确定数字技术投资的优先次序并成功实施。
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Digital transformation in healthcare: Assessing the role of digital technologies for managerial support processes
This study used Porter's value chain model within healthcare organizations and the technology–organization–environment framework to explore the impact of digital technologies on managerial and administrative support processes and identify the determinants of their adoption. We used the Delphi methodology to examine six categories of digital technologies (Internet of Things, artificial intelligence & machine learning, big data & business analytics, cloud storage & computing, social media, and blockchain). The study used an inductive qualitative approach involving 11 experts to gather opinions on the most impactful digital technologies and the factors that hinder or limit digital transformation. We found that the Internet of Things and artificial intelligence & machine learning have the most significant impact on administrative support processes in healthcare organizations. Blockchain was least relevant. The experts identified the skills and competencies of employees as the most crucial determinants for ensuring successful digital transformation. These results contribute to the literature on digital transformation in healthcare, which has previously mainly focused on the impact of technologies on clinical processes. The findings may also be useful to both policymakers and practitioners in determining priorities for investment in digital technologies and delivering successful implementation.
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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