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

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Published on: April 11, 2018

Technical note: electronic chart checks in a paperless radiation therapy clinic.

Deshan Yang¹, Yu Wu, Ryan S Brame

¹Department of Radiation Oncology, Washington University School of Medicine, 4921 Parkview Place, Campus Box 8224, St. Louis, Missouri 63110, USA. dyang@radonc.wustl.edu

Medical Physics

|August 17, 2012

Summary

Electronic Chart ChecK (EcCk) software automates radiation oncology patient chart audits, improving efficiency and identifying discrepancies. This decision support tool enhances quality and safety in radiation therapy by assisting human experts with repetitive tasks.

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Area of Science:

Medical Informatics
Radiation Oncology
Software Engineering

Background:

Radiation oncology departments face challenges in ensuring the quality and efficiency of patient chart checking.
Manual chart audits are time-consuming and prone to human error, potentially impacting patient safety.

Purpose of the Study:

To introduce Electronic Chart ChecK (EcCk), a novel software and database system designed to enhance patient chart review in radiation oncology.
To automate the collection and analysis of patient treatment data, thereby improving the accuracy and efficiency of discrepancy detection.

Main Methods:

EcCk integrates technologies such as relational databases, DICOM, dynamic HTML, and image processing, implemented in MATLAB and C#.
The system processes diverse data formats including DICOM, PDF, Microsoft Word, and native database formats.
Automated checks are performed using predefined logical rules, with results presented in color-coded, summarized reports for user review and action.

Main Results:

Successful implementation of EcCk in a clinical setting demonstrated the feasibility of automating patient chart checking.
The software effectively integrates disparate systems and supports the analysis of data from various sources.
EcCk provides a robust platform for identifying discrepancies and potential issues in patient treatment records.

Conclusions:

EcCk significantly enhances the quality and efficiency of patient treatment record audits in radiation oncology.
The system aids in verifying tasks difficult for humans and frees up experts from repetitive duties, improving overall workflow.
By supporting decision-making and improving task verification, EcCk contributes to enhanced quality and safety in radiation therapy treatments.