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Creating RDF Representations of Patient Data. Diabetes Patient Data.

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diabetes patient data
Diabetes Patient Data

54-year-old man with diabetes was referred to the Hypertension Clinic in Jichi Medical School Hospital with symptoms of dizziness and orthostatic intolerance. In 2002, he started insulin therapy (Hemoglobin A1c 9 %), and in 2004, he was started on a once daily dose of valsartan 80 mg for hypertension. He sometimes complained of dizziness and fainting while standing. On 13 February 2005, he fell down while riding a bicycle. As the clinic BP was 84/60 mm Hg on 14 March, and the valsartan was stopped. He was referred to otolaryngology and neurology, but no significant abnormalities were detected.



subject? or has_symptom?


“Collection of Symptoms”

“54 years”




“Orthostatic Intolerance”



Snomed URI2

Snomed URI1

design choices
Design Choices
  • What are the nodes of this graph?
  • What are the types of the nodes of this graphs (RDF(S)/OWL Classes)?
  • What are the labels of the edges of this graph?
  • How do we decide the classes and instances?
  • How do we deal with Industry Standards such as RIM/CDA/SDTM/DCM + Snomed/NCI Thesaurus etc.?
    • Can node types and edge labels be derived from these standards?
    • Can we have specialized edge (“maps_to”) to link nodes in this graph with Snomed/NCI Thesaurus concepts?
  • How do we choose these to ensure interoperability across multiple standards?
  • How do we represent temporal data and information?
  • How do we capture abstractions such as a clinical event, a patient encounter?
name space issues
Name Space Issues
  • Proposal: Create Namespaces for each of the standards
    • hl7rim: HL7/RIM
    • dcm: Detailed Clinical Models
    • cda: Clinical Documentation Architecture
    • sdtm: Study Data Tabulation Model
    • snomed: Snomed
    • ncit: NCI Thesaurus
proposed tasks groups
Proposed Tasks/Groups
  • HL7/RIM: Helen, Vipul, Dan
  • DCM: Tom Oniki, Stan Huff
  • Realist Approach: Kerstin, Bo, Alan
  • SDTM: Rachel, Jennifer
  • POMR: Vipul

Examples of

Eligibility Criteria


Patient Data

Various Standards

HL7, CDISC, etc.

RDF/OWL Graphs