Health-data systems methodology research — healthcare interoperability, clinical intelligence, and secure health information exchange.
Xinyang Li is a health-data systems methodology researcher specializing in healthcare interoperability, clinical intelligence, and secure health information exchange.
His research focuses on developing standards-based approaches for transforming heterogeneous healthcare data into interoperable, explainable, and governance-aware digital health systems.
His work includes three interconnected research areas:
Development of FHIR R4-based interoperability frameworks, including canonical data modeling, terminology reconciliation, structural transformation, and data-quality governance.
Development of explainable clinical decision-support methodologies integrating remote patient monitoring, machine learning, and interoperable clinical artifacts.
Development of security-aware healthcare data exchange frameworks incorporating identity governance, consent management, auditability, and privacy-preserving data access.
Timeline reflects the progression of research activities and is not an exhaustive record of all professional engagements.