Leveraging business intelligence metrics and data envelopment analysis for healthcare workforce productivity measurement
Matthew,B. Verheij,R.A. Dros,J.T.
Matthew,B.
Verheij,R.A.
Dros,J.T.
Abstract
The escalating demand for healthcare services, coupled with chronic staff shortages and heightened cost pressures, necessitates sophisticated tools for measuring and optimizing workforce productivity. This research investigates the role of Business Intelligence (BI) systems and performance metrics (KPIs) in transitioning healthcare productivity measurement from traditional, volume-centric metrics toward a comprehensive, multidimensional framework that integrates efficiency, quality of care, and technological impact. Employing a simulated Data Envelopment Analysis (DEA) methodology, the study demonstrates how BI-derived metrics-such as adjusted patient throughput, resource utilization rates, and quality scores-can serve as inputs and outputs for objective departmental efficiency benchmarking. Findings from the simulated analysis identify the efficiency frontier and reveal specific resource slacks, translating complex operational data into actionable management insights for optimizing labor deployment and supply chain inputs. Furthermore, the discussion critically addresses critical implementation challenges, including technological adoption barriers, the risk of metric fixation and data gaming, and profound ethical concerns regarding algorithmic bias and data privacy. The article concludes by arguing that successful workforce optimization relies on establishing transparent, quality-adjusted metric governance structures supported by robust BI infrastructure.
Description
Date
2025
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Volume Title
Publisher
Research Projects
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Keywords
Business intelligence, workforce productivity, key performance indicators, data envelopment analysis, healthcare management, operational efficiency, algorithmic bias
Citation
Matthew, B, Verheij, R A & Dros, J T 2025, 'Leveraging business intelligence metrics and data envelopment analysis for healthcare workforce productivity measurement', Medical Sciences.