Business intelligence and the leverage of information in healthcare organizations from a managerial perspective: a systematic literature review and research agenda

被引:5
|
作者
Trincanato, Edoardo [1 ]
Vagnoni, Emidia [1 ]
机构
[1] Univ Ferrara, Dept Econ & Management, Ferrara, Italy
关键词
Business intelligence; Decision making; Health management; Healthcare organization; Information; Systematic literature review; BIG DATA; DATA WAREHOUSE; MODEL APPLICATION; MANAGEMENT; DASHBOARDS; SUPPORT; IMPLEMENTATION; TECHNOLOGIES; METHODOLOGY; EVOLUTION;
D O I
10.1108/JHOM-02-2023-0039
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
PurposeBusiness intelligence (BI) systems and tools are deemed to be a transformative source with the potential to contribute to reshaping the way different healthcare organizations' (HCOs) services are offered and managed. However, this emerging field of research still appears underdeveloped and fragmented. Hence, this paper aims to reconciling, analyzing and synthesizing different strands of managerial-oriented literature on BI in HCOs and to enhance both theoretical and applied future contributions.Design/methodology/approachA literature-based framework was developed to establish and guide a three-stage state-of-the-art systematic literature review (SLR). The SLR was undertaken adopting a hybrid methodology that combines a bibliometric and a content analysis.FindingsIn total, 34 peer-review articles were included. Results revealed significant heterogeneity in theoretical basis and methodological strategies. Nonetheless, the knowledge structure of this research's stream seems to be primarily composed of five clusters of interconnected topics: (1) decision-making, relevant capabilities and value creation; (2) user satisfaction and quality; (3) process management, organizational change and financial effectiveness; (4) decision-support information, dashboard and key performance indicators; and (5) performance management and organizational effectiveness.Originality/valueTo the authors' knowledge, this is the first SLR providing a business and management-related state-of-the-art on the topic. Besides, the paper offers an original framework disentangling future research directions from each emerged cluster into issues pertaining to BI implementation, utilization and impact in HCOs. The paper also discusses the need of future contributions to explore possible integrations of BI with emerging data-driven technologies (e.g. artificial intelligence) in HCOs, as the role of BI in addressing sustainability challenges.
引用
收藏
页码:305 / 330
页数:26
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