Utilizing process mining in quality management: A case study in radiation oncology

Mohammad Bakhtiari

PLOS Digital Health, 2025, vol. 4, issue 5, 1-32

Abstract: Radiation oncology is known for its complexity, inherent risks, and sheer volume of data. Adopting a process-oriented management approach and systemic thinking is essential for ensuring safety, efficiency, and the highest quality of care. Process mining offers a data-centric method for analyzing and improving clinical workflows to ensure optimal patient outcomes. This study utilizes process mining techniques along with a quality management system to analyze event logs obtained from an electronic medical record system. Conformance checking and process improvement methodologies were utilized to detect inefficiencies and bottlenecks. Examining the treatment planning process through process mining revealed two principal bottlenecks—OAR contouring and physics chart checks. This led to specific interventions that markedly decreased the time to complete treatment planning processes. Additionally, applying organizational mining methods provided valuable information on how resources are utilized and how teams collaborate within the organization. Process mining is a useful tool for improving efficiency, quality, and decision-making in radiation oncology. By transitioning from traditional management to a data-driven leadership approach, radiation oncology departments can optimize workflows, enhance patient care, and adapt to the evolving demands of modern healthcare.Author summary: In this study, we explored how process mining—a method commonly used in business—can improve quality and safety in healthcare. We focused on radiation therapy, a complex treatment that involves many professionals, steps, and technologies. These steps are recorded in electronic systems but are often difficult to visualize or fully understand. By applying process mining, we were able to map how care actually flows, uncover delays and inefficiencies, and identify patterns that may contribute to errors or extra work. Our aim was to make this process more transparent and easier to improve. Turning everyday data into clear, evidence-based insights can help healthcare teams work more safely and effectively. While this work focused on radiation oncology, the same approach could be used in other areas of healthcare to support better, more reliable patient care.

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pdig00:0000647

DOI: 10.1371/journal.pdig.0000647

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