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Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

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

Mohammad Bakhtiari¹

¹WellSpan Radiation Oncology, Chambersburg, Pennsylvania, United States of America.

PLOS Digital Health

|May 15, 2025

Summary

Process mining enhances radiation oncology by analyzing clinical workflows. This data-driven approach identifies and resolves bottlenecks, improving efficiency and patient care quality.

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Area of Science:

Healthcare Management
Medical Informatics
Radiation Oncology

Background:

Radiation oncology faces complexity, risks, and data challenges.
Process-oriented management and systemic thinking are crucial for safety and quality.
Process mining offers a data-centric approach to analyze and improve clinical workflows.

Purpose of the Study:

To apply process mining and quality management to analyze radiation oncology event logs.
To identify inefficiencies and bottlenecks in clinical workflows using conformance checking.
To improve patient outcomes through data-driven workflow optimization.

Main Methods:

Utilized process mining techniques on electronic medical record event logs.
Employed conformance checking and process improvement methodologies.
Applied organizational mining to assess resource utilization and team collaboration.

Main Results:

Identified OAR contouring and physics chart checks as key bottlenecks in treatment planning.
Implemented interventions that significantly reduced treatment planning time.
Gained insights into resource utilization and inter-team collaboration.

Conclusions:

Process mining is valuable for enhancing efficiency, quality, and decision-making in radiation oncology.
A data-driven leadership approach optimizes workflows and improves patient care.
Radiation oncology departments can adapt to modern healthcare demands through workflow optimization.