=Paper=
{{Paper
|id=Vol-3603/SoftwareDemoAbstract1
|storemode=property
|title=Ontology Development in FHIR Resources with the Fast Evidence Interoperability
            Resources (FEvIR) Platform
|pdfUrl=https://ceur-ws.org/Vol-3603/SoftwareDemoAbstract1.pdf
|volume=Vol-3603
|authors=Brian S. Alper,Khalid Shahin,Joanne Dehnbostel,Cauê F. Monaco
|dblpUrl=https://dblp.org/rec/conf/icbo/AlperSDM23
}}
==Ontology Development in FHIR Resources with the Fast Evidence Interoperability
            Resources (FEvIR) Platform==
<pdf width="1500px">https://ceur-ws.org/Vol-3603/SoftwareDemoAbstract1.pdf</pdf>
<pre>
                         Ontology Development in FHIR Resources with the Fast Evidence
                         Interoperability Resources (FEvIR) Platform – Extended Abstract
                         Brian S. Alper 1,2, Khalid Shahin 1,2, Joanne Dehnbostel 1,2 and Cauê F. Monaco 3
                         1
                           Computable Publishing LLC, Ipswich, Massachusetts, United States
                         2
                           Scientific Knowledge Accelerator Foundation, Ipswich, Massachusetts, United States
                         3
                           Centro Universitário São Camilo, São Paulo, São Paulo, Brasil


                                         Abstract
                                         Fast Healthcare Interoperability Resources (FHIR) is a standard for health data exchange used
                                         globally for electronic health records. Shareable digital objects are called Resources. FHIR
                                         defines a CodeSystem Resource structure that can be used to fully represent an ontology.

                                         We extended FHIR to become a standard for data exchange for scientific knowledge. In doing
                                         so, we needed to create an ontology, the Scientific Evidence Code System (SEVCO), for
                                         expression of study design, risk of bias, and statistics, and we collaborated with the Statistics
                                         Ontology (STATO). We created a CodeSystem Resource for the development version of
                                         SEVCO (https://fevir.net/27270) and a CodeSystem Resource for the published version of
                                         SEVCO (https://fevir.net/sevco).

                                         The Fast Evidence Interoperability Resources (FEvIR) Platform is a free platform supporting
                                         the creation, viewing, editing, and storing of scientific knowledge in the form of FHIR
                                         Resources. We created FEvIR®: CodeSystem Builder/Viewer to facilitate the creation and
                                         viewing of ontologies in the form of FHIR CodeSystem Resources. For the creation of SEVCO,
                                         with more than 42 contributors from at least 18 countries, we developed software features and
                                         term properties to manage comments, disagreements, agreements, and iterative voting until
                                         100% agreement was reached. We also created FEvIR®: MyBallot to make voting on multiple
                                         terms more efficient.

                                         This software demonstration will show the use of FEvIR®: CodeSystem Builder/Viewer and
                                         FEvIR®: MyBallot to develop the ontology, and will show the use of FEvIR®: ValueSet
                                         Builder/Viewer and Computable Publishing®: Risk of Bias Assessment Tool (RoBAT) as
                                         examples of application of the ontology in data curation.

                                         Keywords 1
                                         Evidence-based medicine, FHIR, data exchange standard, ontology, CEUR-WS




                         Proceedings of the International Conference on Biomedical Ontologies 2023, August 28th-September 1st, 2023, Brasilia, Brazil
                         EMAIL: balper@computablepublishing.com (A. 1); kshahin@ computablepublishing.com (A. 2); jdehnbostel@ computablepublishing.com
                         (A. 3), caue.monaco@terra.com.br (A. 4)
                         ORCID: 0000-0003-4300-4928 (A. 1); 0000-0002-3526-7667 (A. 2); 0000-0002-9896-9842 (A. 3); 0000-0002-5316-2156 (A. 4)
                                      © 2023 Copyright for this paper by its authors.
                                      Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
                                      CEUR Workshop Proceedings (CEUR-WS.org)


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                  ceur-ws.org
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</pre>