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Related Experiment Video

Updated: Jul 7, 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

An Automated, Dynamic Radiation Oncology Prescription Checking System.

I M Pashtan¹, T Kosak¹, K-Y Shin²

¹Department of Radiation Oncology, Brigham and Women's Hospital/Dana-Farber Cancer Institute, Boston, Massachusetts.

Practical Radiation Oncology

|December 27, 2023

Summary

This summary is machine-generated.

Automated prescription checking systems in radiation oncology reduce errors. This system flagged potential prescription mistakes, with 31% of alerts indicating true errors, improving patient safety.

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Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

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Published on: June 7, 2015

Area of Science:

Radiation Oncology
Medical Physics
Health Informatics

Background:

Radiation oncology prescriptions are critical for treatment delivery.
Manual prescription entry is susceptible to errors, potentially impacting patient safety and resource allocation.

Purpose of the Study:

To develop and implement an automated system for checking radiation oncology prescriptions.
To reduce errors in prescription entry and minimize their propagation.

Main Methods:

Generated rules for clinically appropriate doses per fraction based on disease site and treatment technique.
Implemented an automated report running every 30 minutes to check new/approved prescriptions.
Sent automated email alerts to prescribers for rule violations, with continuous monitoring and adjustment of criteria.

Main Results:

Checked 24,047 prescriptions from June 2021 to November 2022, with a 1% alert rate (241 alerts).
Identified 82.2% of alerts as unapproved doses per fraction, 12% as too high for nonstereotactic technique, and 5.8% as too low.
31% of alerts resulted in prescription amendments, indicating true errors. Trainee entry and low doses (<150 cGy) were associated with errors.

Conclusions:

Automated prescription checking systems offer significant value in radiation oncology.
Implementation can mitigate risks associated with erroneous prescription entry, including treatment delays and misadministration.
Such systems enhance patient safety and optimize resource utilization.