Architecting Synergy: Knowledge Graphs for Representing Complex, Multi-Domain Patient Information
Karim Keshavjee
Studies in health technology and informatics
Problems Identified (4)
Care continuity failures: Healthcare data exchange still leaves gaps in care such as missed referrals, unsafe polypharmacy, and loss of continuity.
Dynamic multi-domain care representation: The paper addresses what information architecture can represent care as a dynamic, multi-domain, intent-driven process.
Care continuity failures: Healthcare data exchange still leaves gaps in care such as missed referrals, unsafe polypharmacy, and loss of continuity.
Dynamic multi-domain care representation: The paper addresses what information architecture can represent care as a dynamic, multi-domain, intent-driven process.
Proposed Solutions (4)
Knowledge graph architecture: The paper proposes knowledge graphs as an architecture for representing complex, multi-domain patient information and care processes.
Requirements-based architecture evaluation: The paper derives functional and technical requirements from empirical care failure modes and evaluates four candidate architectures against them.
Knowledge graph architecture: The paper proposes knowledge graphs as an architecture for representing complex, multi-domain patient information and care processes.
Requirements-based architecture evaluation: The paper derives functional and technical requirements from empirical care failure modes and evaluates four candidate architectures against them.
Results (3)
Knowledge graphs meet architecture requirements:
Promising interoperability and safety path:
Governance implications discussed:
Research Domain
Health information architecture / clinical knowledge graphs