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Purpose/Objectives
Radiation oncology treatment planning and delivery systems are predominantly designed as silos, centered around the care of individual patients and generally disconnected from the broader health record. This poses significant challenges for cohort or population scale research, particularly when trying to analyze the nuances and details of treatments. The National Radiation Oncology Program (NROP) sought to design, develop, and implement a platform-agnostic tool to extract clinically meaningful treatment details from DICOM-RT data and applied this in a pilot initiative to centralize data from several VA distinct treatment facilities and merge the resulting dataset with the broader electronic health record to support research and clinical operations.
Methods
Leveraging NROP’s Health Information Gateway Exchange (HINGE) system, we developed the capability to analyze DICOM-RT datasets and output detailed and clinically meaningful radiation treatment information including but not limited to structure-specific dose volume histogram data, individual beam-level treatment details, and verified delivered fraction data. We applied this to historical data from VA facilities participating in NROP’s initial pilot and linked the resulting data with the broader electronic health record on an individual patient level, constituting the Granular Radiotherapy Information Database (GRID).
Results
We demonstrate successful export of clinically meaningful treatment details from a large real-world cohort of VA patients treated between 2012-2024. This constitutes a novel source of authoritative radiation oncology data within the VA CDW. We confirmed the ability to arbitrarily query these cohorts based on both the intrinsic data export as well as its linkages to the broader electronic health record.
Conclusions
This is a proof-of-principle study demonstrating the ability to extract and integrate detailed radiotherapy data with the broader health record, as well as enable unprecedented arbitrary queries at population scale and broad reuse in the VA research and clinical operations.
Purpose/Objectives
Radiation oncology treatment planning and delivery systems are predominantly designed as silos, centered around the care of individual patients and generally disconnected from the broader health record. This poses significant challenges for cohort or population scale research, particularly when trying to analyze the nuances and details of treatments. The National Radiation Oncology Program (NROP) sought to design, develop, and implement a platform-agnostic tool to extract clinically meaningful treatment details from DICOM-RT data and applied this in a pilot initiative to centralize data from several VA distinct treatment facilities and merge the resulting dataset with the broader electronic health record to support research and clinical operations.
Methods
Leveraging NROP’s Health Information Gateway Exchange (HINGE) system, we developed the capability to analyze DICOM-RT datasets and output detailed and clinically meaningful radiation treatment information including but not limited to structure-specific dose volume histogram data, individual beam-level treatment details, and verified delivered fraction data. We applied this to historical data from VA facilities participating in NROP’s initial pilot and linked the resulting data with the broader electronic health record on an individual patient level, constituting the Granular Radiotherapy Information Database (GRID).
Results
We demonstrate successful export of clinically meaningful treatment details from a large real-world cohort of VA patients treated between 2012-2024. This constitutes a novel source of authoritative radiation oncology data within the VA CDW. We confirmed the ability to arbitrarily query these cohorts based on both the intrinsic data export as well as its linkages to the broader electronic health record.
Conclusions
This is a proof-of-principle study demonstrating the ability to extract and integrate detailed radiotherapy data with the broader health record, as well as enable unprecedented arbitrary queries at population scale and broad reuse in the VA research and clinical operations.
Purpose/Objectives
Radiation oncology treatment planning and delivery systems are predominantly designed as silos, centered around the care of individual patients and generally disconnected from the broader health record. This poses significant challenges for cohort or population scale research, particularly when trying to analyze the nuances and details of treatments. The National Radiation Oncology Program (NROP) sought to design, develop, and implement a platform-agnostic tool to extract clinically meaningful treatment details from DICOM-RT data and applied this in a pilot initiative to centralize data from several VA distinct treatment facilities and merge the resulting dataset with the broader electronic health record to support research and clinical operations.
Methods
Leveraging NROP’s Health Information Gateway Exchange (HINGE) system, we developed the capability to analyze DICOM-RT datasets and output detailed and clinically meaningful radiation treatment information including but not limited to structure-specific dose volume histogram data, individual beam-level treatment details, and verified delivered fraction data. We applied this to historical data from VA facilities participating in NROP’s initial pilot and linked the resulting data with the broader electronic health record on an individual patient level, constituting the Granular Radiotherapy Information Database (GRID).
Results
We demonstrate successful export of clinically meaningful treatment details from a large real-world cohort of VA patients treated between 2012-2024. This constitutes a novel source of authoritative radiation oncology data within the VA CDW. We confirmed the ability to arbitrarily query these cohorts based on both the intrinsic data export as well as its linkages to the broader electronic health record.
Conclusions
This is a proof-of-principle study demonstrating the ability to extract and integrate detailed radiotherapy data with the broader health record, as well as enable unprecedented arbitrary queries at population scale and broad reuse in the VA research and clinical operations.