Examining the use of analytics in healthcare operations management: A systematic and narrative literature review
系统综述了2010至2024年间五本顶级运营管理期刊中414篇关于医疗运营管理分析应用的研究，识别了关键趋势、六大主题及活跃研究者，旨在缩小研究与实践的差距。
Abstract Healthcare delivery is data intensive and data dependent, but hospitals have struggled to leverage data to improve operational performance. At the same time, healthcare researchers have been advancing the use of analytics in our publications. Unfortunately, there appears to be a substantial gap between the insights that we as researchers have produced and the actual adoption of analytics among healthcare organizations. We attempt to provide a starting point to close that gap by conducting a systematic review of 414 studies published in five top operations management (OM) journals between 2010 and 2024. We provide a systematic and narrative review of the literature applying analytics approaches in healthcare OM (HOM) studies. Our stream‐, journal‐, and author‐level analyses underpin several important contributions. We begin by identifying key publication and methodological trends by journal. Next, we identify and describe six key topics using Latent Dirichlet Allocation (LDA) topic modeling and syntheses by the authors. We juxtapose the LDA topics by journal to identify nuanced journal preferences within the broader literature. Finally, we identify the most active researchers in HOM in general, by topic and journal, and discuss future research directions. Collectively, these contributions ought to support practitioners in accessing our research and scholars in their efforts to develop relevant research questions, design and position their studies, and ultimately more clearly articulate compelling contributions to the HOM literature using analytics approaches.