WearPGHDProvO: An Extension of PGHDProvO for Wearables.

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.