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Related Experiment Video

Updated: Aug 11, 2025

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

Published on: November 11, 2020

Modelling lung cancer diagnostic pathways using discrete event simulation.

Tracey England¹, Paul Harper¹, Tom Crosby²

¹School of Mathematics, Cardiff University, Cardiff, UK.

Journal of Simulation : JOS

|February 10, 2023

Summary

This summary is machine-generated.

Improving the lung cancer pathway in Wales could significantly reduce treatment times. Streamlining diagnostic tests and ensuring early appointments can cut approximately 11 days, increasing timely treatment by 21%.

Keywords:

Diagnostic pathway cancer discrete event simulation performance indicators

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Area of Science:

Oncology
Health Services Research
Health Informatics

Background:

The United Kingdom exhibits notably poor lung cancer survival rates within Europe.
Existing diagnostic pathways for lung cancer in Wales require evaluation and optimization.

Purpose of the Study:

To design and assess a Single Lung Cancer Pathway (SCP) for Wales.
To identify bottlenecks and propose improvements in the lung cancer diagnostic process.

Main Methods:

Mapping of current diagnostic pathways and processes.
Discrete event simulation modeling of existing pathways.
Analysis of key performance indicators and diagnostic testing strategies.

Main Results:

Current mean time to treatment: 72 days (surgery), 56 days (chemotherapy), 61 days (radiotherapy).
Potential to reduce the lung cancer pathway by approximately 11 days.
Achieving a 21% increase in patients treated within the 62-day target.

Conclusions:

Implementing an optimized Single Lung Cancer Pathway can significantly improve treatment timeliness.
Ensuring first outpatient appointments within 7 days and streamlining diagnostics are critical interventions.
These improvements are projected to enhance lung cancer patient outcomes in Wales.