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Related Experiment Video

Updated: May 27, 2025

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

Radiotherapy department supported by an optimization algorithm for scheduling patient appointments.

Chavez Marcela¹, Gonzalez Silvia², Ruiz Alvaro²

¹Liège University Hospital, Liège, Belgium.

Health Informatics Journal

|February 17, 2025

Summary

This study introduces an optimization algorithm for radiotherapy scheduling, improving efficiency and patient satisfaction. The system automates appointment generation and allows for flexible rescheduling to accommodate urgent cases.

Keywords:

appointments hospital management optimization algorithm patient satisfaction planning radiotherapy

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Area of Science:

Oncology
Medical Physics
Operations Research

Background:

Radiotherapy (RT) is a critical cancer treatment, but scheduling daily irradiation sessions is complex.
Manual scheduling faces challenges due to increasing patient numbers and resource constraints (staff, linear accelerators).
Current manual processes are time-consuming and difficult to adapt to urgent patient needs.

Purpose of the Study:

To develop an automated optimization algorithm for radiotherapy patient scheduling.
To enhance the efficiency of radiotherapy department operations.
To improve patient and staff satisfaction through optimized scheduling and flexible appointment management.

Main Methods:

An optimization algorithm was developed to automatically schedule and generate patient appointments.
The algorithm incorporates flexibility to rearrange fixed appointments for urgent cases.
Integration with a mobile application allows patient interaction for appointment rescheduling.

Main Results:

The proposed algorithm enables more efficient scheduling of radiotherapy appointments.
The system respects diverse patient treatment protocols.
It facilitates dynamic rescheduling to accommodate urgent patient needs, improving resource utilization.

Conclusions:

Automated scheduling using optimization algorithms can significantly improve radiotherapy department efficiency.
The developed system offers a practical solution for managing complex radiotherapy schedules.
Enhanced scheduling flexibility and patient involvement can lead to better outcomes and satisfaction.