Comprehensive Personal Health Knowledge Graph for Effective Management and Utilization of Personal Health Data

The widespread use of electronic health records (EHRs) and wearable devices has generated a massive amount of personal health data (PHD) that can be utilized for research and patient care. However, integrating and managing various types of PHD from different sources presents significant challenges, including data interoperability, privacy, and security concerns. In response, this paper proposes a Personal Health Knowledge Graph for integrated health data management and utilization. This approach utilizes knowledge graphs to structure and integrate different types of PHD from various sources, including EHR data, wearable device sensing data, insurance data, and social determinants of health. The proposed approach offers a comprehensive view of an individual's health, allowing for the integration and analysis of different types of PHD. Additionally, this paper proposes three use cases that illustrate the practical applications and advantages of the Personal Health Knowledge Graph (PHKG) in healthcare data management and utilization. Overall, the Personal Health Knowledge Graph (PHKG) provides a promising solution for managing and analyzing PHD, which can be used to improve healthcare outcomes and research.