NCI's Office of Data Sharing Annual Symposium (Abstract Submission): Submission #7

serial: '7'
sid: '145548'
uuid: 645e64fd-8359-4878-9655-719f7e3d16c4
uri: /ods/annualdatasharingsymposium/abstract
created: '1750958551'
completed: '1750958600'
changed: '1750958600'
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langcode: en
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data:
  category: 'Poster Abstract'
  degree_s_: 'B.S., MBA'
  email: dfjacobs@us.ibm.com
  first_name: David
  keywords_abstracts: "USCDI+ Cancer, HL7's FHIR, RWD, AI"
  last_name: Jacobs
  middle_initial: ''
  organization: IBM
  organization_address:
    address: ''
    address_2: ''
    city: 'Washington, D.C.'
    country: ''
    postal_code: ''
    state_province: ''
  summary: "The USCDI+ defines real-world data (RWD) elements to further cancer prevention, diagnosis, treatment, research, and care through enhanced data exchange.  HL7's FHIR, a leading health data exchange standard, supports adaptability and interoperability across diverse healthcare environments and systems, offering significant benefits in both clinical and research contexts. By enabling secure, rapid, and uniform data flow, USCDI+, combined with FHIR, enhances health outcomes and fosters innovation through data sharing and standardization. While FHIR offers robustness through its fundamental hierarchal architecture, it adds significant complexity to the development and testing of the implementation.  This presentation explores potential enhancements to USCDI+ Cancer that could bolster both centralized and decentralized clinical trials. We will also discuss our experiences developing FHIR implementation guides for RWD, offering insights that could inform and support the FHIR adoption within USCDI+ Cancer, including the potential for using AI to assist in the process. "
  title: 'Senior Managing Consultant'
  ttile: 'Data Interoperability through USCDI+ Cancer and FHIR Implementation Guides for Real-World Data '
  upload_abstract: '65645'