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Examining the use of analytics in healthcare operations management: A systematic and narrative literature review

Bogdan C. Bichescu et al.

Decision Sciences2025https://doi.org/10.1111/deci.70011article
AJG 3ABDC A*
Weight
0.37

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.

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https://doi.org/https://doi.org/10.1111/deci.70011

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@article{bogdan2025,
  title        = {{Examining the use of analytics in healthcare operations management: A systematic and narrative literature review}},
  author       = {Bogdan C. Bichescu et al.},
  journal      = {Decision Sciences},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1111/deci.70011},
}

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Examining the use of analytics in healthcare operations management: A systematic and narrative literature review

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Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.