Poster Poster Program Therapy Physics

Automated Plan/Chart Data Congruency Verification between Raystation and RO-EMR Mosaiq In Compliance with Mppg 11.a

Abstract
Purpose

Initial plan/chart review requires significant effort and can be labor-intensive, time-consuming, and error-prone. This is particularly challenging when working with non-integrated systems, such as the RayStation treatment planning system and the RO-EMR Mosaiq, where the planner is often responsible for manually transferring treatment delivery parameters into the RO-EMR. In this study, we automated the initial plan/chart review process using a Python interface developed with the RayStation Scripting API to assess data congruency between RayStation and RO-EMR Mosaiq.

Methods

Using the RayStation Scripting API, we developed a Python-based interface (Python version 3.8) to directly compare photon and electron treatment plan parameters between the RO-EMR Mosaiq database (version 3.2.2.1) and the RayStation treatment planning system (version 2024A). The script evaluates the congruency of all relevant elements required for initial plan/chart review, as recommended by MPPG 11.a. These elements include, but are not limited to, prescription details and approval status, field parameters, treatment site setup, reference CT information, DRRs, tolerance tables, treatment schedule, dose tracking, and treatment machine configuration.

Results

The automated script successfully identified discrepancies and verified consistency between RayStation and RO-EMR Mosaiq plan/chart data across all evaluated parameters. The implementation significantly reduced manual review time while improving consistency and minimizing the risk of transcription and human errors during initial plan/chart review.

Conclusion

The RayStation Scripting API enables direct and automated comparison of plan/chart data between RayStation and RO-EMR Mosaiq in accordance with MPPG 11.a recommendations. This approach streamlines the initial plan/chart review process, reduces review time, and decreases the likelihood of errors. Additionally, the framework allows for expansion of verification checks due to full access to the RO-EMR Mosaiq database.

People

Related

Similar sessions

Poster Poster Program
Jul 19 · 07:00
Python-Based Automation Framework for Annual Machine QA Data Archiving In Qatrack+

Annual water-tank measurements help ensure beam characteristics remain consistent with commissioning baselines. However, the lack of a standardized processing workflow and decentralized data storage makes it difficult to analyze...

Syed Bilal Ahmad, PhD
Therapy Physics 0 people interested
Poster Poster Program
Jul 19 · 07:00
User Expectations and Current Availability of HDR Brachytherapy Audits In Europe

The aim of this work was to evaluate the need to implement more dosimetric audits in high‐dose‐rate brachytherapy (HDR-BT) in Europe and to identify which characteristics such audits should meet according to users.

Javier Vijande, PhD Laura Oliver Cañamás
Therapy Physics 0 people interested