Abstract
Patient Generated Health Data empower patients and supports their longitudinal care, with several studies and initiatives attempting to integrate these data into electronic health records of patients. However, studies have indicated clinicians' desire and interest in contextual information about these data. There are limited studies that consider contextual and provenance information about these data at the point of collecting the data. This has reliability, trust and usability implications for PGHD shared with electronic health records (EHR). This paperseeks to describe how an ontology-driven model was employed to capture PGHD with provenance and context, sufficient for clinical decision making. We also evaluatedthe modelusingtwo PGHDsources, and shared theprocess of sharing this information with an EHR in standardized RDF/FHIR formats. Future studies will seek to evaluate the modelin a practical context with clinicians, to ensure alignment with their clinical practice and workflow.
| Original language | English |
|---|---|
| Pages (from-to) | 575-584 |
| Number of pages | 10 |
| Journal | AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium |
| Volume | 2024 |
| Publication status | Published - 2024 |
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