ESTRO 2024 - Abstract Book

S2977

Interdiscplinary - Other

ESTRO 2024

Keywords: Real World Evidence

References:

[1] Moss C, Haire A, Cahill F, Enting D, Hughes S, Smith D, Sawyer E, Davies A, Zylstra J, Haire K, Rigg A, Van Hemelrijck M. Guy's cancer cohort - real world evidence for cancer pathways. BMC Cancer. 2020 Mar 17;20(1):187. doi: 10.1186/s12885-020-6667-0. PMID: 32178645; PMCID: PMC7077127.

2851

Poster Discussion

Operational Ontology for Oncology (O3) - Multi-professional society standard supporting AI

Charles S Mayo 1 , Mary U Feng 2 , Kristy K Brock 3 , Randi Kudner 4 , Peter Balter 5 , Jeffrey Buchsbaum 6 , Amanda Caissie 7 , Emily Daugherty 8 , Andre Dekker 9 , Clifton D Fuller 5 , Julian Hong 2 , David Hong 10 , Sophia Kamran 11 , Evangelia Katsoulakis 12 , John Kildea 13 , Andra Krauze 14 , Jon Kruse 15 , Todd McNutt 16 , Michelle Mierzwa 1 , Amy Moreno 5 , Jatinder Palta 17 , Richard Popple 18 , Thomas Purdie 19 , Susan Yom 2 , Xiao Ying 20 1 University of Michigan, Radiation Oncology, Ann Arbor, USA. 2 University of California San Francisco, Radiation Oncology, San Francisco, USA. 3 MD Anderson Cancer Center, Department of Imaging Physics, Houston, USA. 4 American Association of Therapeutic Radiation Oncology, ASTRO, Washington DC, USA. 5 MD Anderson Cancer Center, Radiation Oncology, Houston, USA. 6 National Cancer Institute, NCI, Washington DC, USA. 7 Dalhousie University, Radiation Oncology, Halifax, Canada. 8 University of Cincinnati Medical Center, Radiation Oncology, Cincinnati, USA. 9 MAASTRO, Radiation Oncology, Maastricht, Netherlands. 10 University of Southern California, Radiation Oncology, Los Angelese, USA. 11 Massachusetts General Hospital, Radiation Oncology, Boston, USA. 12 James A Haley VA Medical Cetner, Radiation Oncology, Tampa, USA. 13 McGill University, Radiation Oncology, Montreal, Canada. 14 National Institute of Health, NIH, Washington DC, USA. 15 Mayo Clinic, Radiation Oncology, Rochester, USA. 16 Johns Hopkins University, Radiation Oncology, Baltimor, USA. 17 Virginia Commonwealth Univeristy, Radiation Oncology, Richmond, USA. 18 University of Alabama Birmingham, Radiation Oncology, Birmingham, USA. 19 Princess Margaret Cancer Center, Radiation Oncology, Toronto, USA. 20 University of Pennsylvannia, Radiation Oncology, Philadelphia, USA

Purpose/Objective:

The ongoing lack of data standardization severely undermines the potential for automated learning from the vast amount of information routinely archived in electronic health records (EHRs), Radiation Oncology Information Systems (ROIS), treatment planning systems (TPSs), and other cancer care and outcomes databases. Data in these systems is typically irregular, sparse and highly variable in how attribute values are expressed. This disorder significantly undermines ability to construct interoperable, artificial intelligence (AI) ready data sets from real world data. The effort sought to create a standardized ontology for clinical data, social determinants of health (SDOH), and other radiation oncology concepts and interrelationships to overcome these gaps.

Material/Methods: