ORCID
- Dympna O'Sullivan: 0000-0003-2841-9738
Abstract
Wearable devices are increasingly used to create patient generated health data (PGHD), yet existing models lack the specificity to fully capture the nuances of this data. This paper presents an initial work on WearPGHDProv, an extension of the PGHDProvO ontology, designed to address this gap. We extended the PGHDProvO ontology using a top-down approach, incorporating concepts from the W3C Provenance Ontology (PROV-O) and domain-specific terms related to wearable devices and data generation. WearPGHDProv introduces new classes and properties to model device-specific information, additional related information unique to wearable data, and the context of data collection. This extension enhances the ability to track the source, pertinent information, and quality of wearable-generated PGHD, facilitating its reliable use in electronic health records (EHRs) and research.
Keywords
Electronic Health Record, Patient Generated Health Data, Provenance, Wearable
DOI Link
Publication Date
2025-10-02
Publication Title
Studies in Health Technology and Informatics
Volume
332
First Page
283
Last Page
287
Deposit Date
2026-03-03
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Additional Links
Recommended Citation
Kawu, Abdullahi Abubakar; O'Sullivan, Dympna; and Hederman, Lucy, "WearPGHDProvO: An Extension of PGHDProvO for Wearables" (2025). Research Outputs: 2025-Present. 2.
https://arrow.tudublin.ie/dfrhro/2