دورية أكاديمية

Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer.

التفاصيل البيبلوغرافية
العنوان: Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer.
المؤلفون: Mayo CS; University of Michigan. Electronic address: cmayo@med.umich.edu., Feng MU; University of California, San Francisco., Brock KK; MD Anderson Cancer Center., Kudner R; American Society of Radiation Oncology., Balter P; MD Anderson Cancer Center., Buchsbaum JC; National Cancer Institute., Caissie A; Dalhousie University., Covington E; University of Michigan., Daugherty EC; University of Cincinnati Medical Center., Dekker AL; Maastro Clinic., Fuller CD; MD Anderson Cancer Center., Hallstrom AL; Wellesley College., Hong DS; University of Southern California., Hong JC; University of California, San Francisco., Kamran SC; Massachusetts General Hospital., Katsoulakis E; James A. Haley VA Medical Center., Kildea J; McGill University., Krauze AV; National Institutes of Health., Kruse JJ; Mayo Clinic., McNutt T; Johns Hopkins University., Mierzwa M; University of Michigan., Moreno A; MD Anderson Cancer Center., Palta JR; Virginia Commonwealth University., Popple R; University of Alabama at Birmingham., Purdie TG; Princess Margaret Cancer Center., Richardson S; Swedish Cancer Institute., Sharp GC; Massachusetts General Hospital., Satomi S; Mayo Clinic., Tarbox LR; University of Arkansas., Venkatesan AM; MD Anderson Cancer Center., Witztum A; University of California, San Francisco., Woods KE; University of Southern California., Yao Y; University of Michigan., Farahani K; National Cancer Institute., Aneja S; Yale University., Gabriel PE; University of Pennsylvania., Hadjiiski L; University of Michigan., Ruan D; University of California, Los Angeles., Siewerdsen JH; Johns Hopkins University., Bratt S; MITRE Corporation., Casagni M; MITRE Corporation., Chen S; MITRE Corporation., Christodouleas JC; University of Pennsylvania., DiDonato A; MITRE Corporation., Hayman J; University of Michigan., Kapoor R; Virginia Commonwealth University., Kravitz S; MITRE Corporation., Sebastian S; MITRE Corporation., Von Siebenthal M; Varian Medical Systems., Bosch W; Washington University in St. Louis., Hurkmans C; Catharina Hospital Eindhoven., Yom SS; University of California, San Francisco., Xiao Y; University of Pennsylvania.
المصدر: International journal of radiation oncology, biology, physics [Int J Radiat Oncol Biol Phys] 2023 Nov 01; Vol. 117 (3), pp. 533-550. Date of Electronic Publication: 2023 May 26.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Elsevier, Inc Country of Publication: United States NLM ID: 7603616 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-355X (Electronic) Linking ISSN: 03603016 NLM ISO Abbreviation: Int J Radiat Oncol Biol Phys Subsets: MEDLINE
أسماء مطبوعة: Publication: New York, NY : Elsevier, Inc
Original Publication: Elmsford, N. Y., Pergamon Press.
مواضيع طبية MeSH: Neoplasms*/radiotherapy , Radiation Oncology*, Humans ; Artificial Intelligence ; Consensus ; Informatics
مستخلص: Purpose: 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, treatment planning systems, and other cancer care and outcomes databases. We sought to create a standardized ontology for clinical data, social determinants of health, and other radiation oncology concepts and interrelationships.
Methods and Materials: The American Association of Physicists in Medicine's Big Data Science Committee was initiated in July 2019 to explore common ground from the stakeholders' collective experience of issues that typically compromise the formation of large inter- and intra-institutional databases from EHRs. The Big Data Science Committee adopted an iterative, cyclical approach to engaging stakeholders beyond its membership to optimize the integration of diverse perspectives from the community.
Results: We developed the Operational Ontology for Oncology (O3), which identified 42 key elements, 359 attributes, 144 value sets, and 155 relationships ranked in relative importance of clinical significance, likelihood of availability in EHRs, and the ability to modify routine clinical processes to permit aggregation. Recommendations are provided for best use and development of the O3 to 4 constituencies: device manufacturers, centers of clinical care, researchers, and professional societies.
Conclusions: O3 is designed to extend and interoperate with existing global infrastructure and data science standards. The implementation of these recommendations will lower the barriers for aggregation of information that could be used to create large, representative, findable, accessible, interoperable, and reusable data sets to support the scientific objectives of grant programs. The construction of comprehensive "real-world" data sets and application of advanced analytical techniques, including artificial intelligence, holds the potential to revolutionize patient management and improve outcomes by leveraging increased access to information derived from larger, more representative data sets.
(Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
التعليقات: Comment in: Int J Radiat Oncol Biol Phys. 2023 Nov 1;117(3):551-553. doi: 10.1016/j.ijrobp.2023.02.058. (PMID: 37739606)
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معلومات مُعتمدة: K01 DE030524 United States DE NIDCR NIH HHS; R21 DE031082 United States DE NIDCR NIH HHS; T32 CA261856 United States CA NCI NIH HHS; U24 CA180803 United States CA NCI NIH HHS
تواريخ الأحداث: Date Created: 20230527 Date Completed: 20230925 Latest Revision: 20240626
رمز التحديث: 20240626
مُعرف محوري في PubMed: PMC10741247
DOI: 10.1016/j.ijrobp.2023.05.033
PMID: 37244628
قاعدة البيانات: MEDLINE
الوصف
تدمد:1879-355X
DOI:10.1016/j.ijrobp.2023.05.033