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Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification ADCI and Dose Estimation

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WE-E-BRB-10: DosCheck - an Electronic Chart Checking Tool for Dosimetrists.

D Yang¹, Y Wu¹, S Yaddanapudi¹

¹Washington University. School of Medicine, St. Louis, MO.

Medical Physics

|May 19, 2017

Summary

This summary is machine-generated.

DosCheck software reduces human errors in radiation oncology by automatically checking documentation and data integrity. This improves efficiency and accuracy in treatment management systems (TMS).

Keywords:

Cancer Computer software Computer systems Databases Dosimetry Error analysis Medical treatment planning User interfaces

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Area of Science:

Radiation Oncology
Medical Physics
Health Informatics

Background:

Radiation oncology workflows involve manual data entry and documentation, increasing the risk of errors.
Inconsistencies in treatment data can lead to redundant work, delays, and potential patient harm.
Current treatment management systems (TMS) often lack automatic data transfer and validation.

Purpose of the Study:

To introduce DosCheck, an electronic checking tool designed to enhance accuracy and efficiency.
To reduce human errors in documentation and data entry within radiation oncology.
To validate the clinical utility of DosCheck in a real-world setting.

Main Methods:

DosCheck integrates data from TMS, Pinnacle TPS, and DICOM-RT PACS.
It processes various document formats (Word, PDF) and data types (native, DICOM, database records).
The software employs pre-defined clinical rules for cross-checking data accuracy and consistency.

Main Results:

DosCheck performs a full patient check in 20 seconds.
Clinically implemented, it identifies 30-40% of previously unreported dosimetrist errors.
Potential for integration with other tools to identify an additional ~30% of errors.

Conclusions:

DosCheck effectively processes data from multiple clinical systems in radiation oncology.
The tool improves the accuracy and efficiency of clinical data and documentation.
It significantly reduces potential inconsistencies and errors in patient treatment.