Semantic Web Technology for Mapping and Applying Clinical Functional Assessment Information
Abstract
Our project analyzed retention standards, Disability Benefit Questionnaires (DBQs), the Military Occupation Specialties (MOS) manual, and the Department of Veteran Affairs schedule for rating disabilities, and it developed a novel framework for structuring and using functional assessment information. Within this framework, our team modeled as OWL ontologies descriptions of functional assessments and their value sets (CFA ontologies). We created models for patient-specific functional-assessment data and for assessment forms such as DBQs. We mapped the functional assessments descriptors in our CFA ontologies to categories and qualifiers in the International Classification of Functioning, Disability, and Health (ICF). We developed the mechanisms to generate programmatically data-acquisition Web forms from the CFA ontologies and we demonstrated how a clinician user might use the forms to document clinical functional assessment and to generate structured data conformant with the CFA ontologies as part of the process. Backend software transforms the structured data to tab-delimited files and to RDF and OWL individuals. We developed mechanisms to link the data with CFA ontologies and to make the data queryable. The resulting software thus provides an end-to-end means to model patient data related to functional assessment, to acquire such data from clinicians, and to output the data in a form suitable for further processing.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 2015
- Accession Number
- AD1002376
Entities
People
- Mark A. Musen
Organizations
- Stanford University