Dae-young Kim (Leroy)

Ph.D. Candidate, Information Systems

Dae-young is a Ph.D. Candidate at the University of Maryland, Baltimore County (UMBC) advised by Dr. Karuna Joshi. His research interests lie in Health Informatics, Health IT standards, and Cloud Computing Security.

He is working on the Delegated Access Control using ABE project, looking at techniques for secure access to Health IT Cloud.

PublicationsGoogle Scholar 

Dae-young successfully defended his Ph.D. Proposal in October 2021.

Proposal: Trusted Compliance Enforcement Framework for Large Volume and High Velocity Healthcare Data
Committee: Dr. Karuna P Joshi (Chair), Dr. Zhiyuan Chen, Dr.  Vandana Janeja, Dr.  Shimei Pan, Dr.  Sanjay Purshottam, Dr. Tim Finin
Abstract: COVID pandemic management via contact tracing and vaccine distribution has resulted in a large volume and high velocity of Health-related data being collected and exchanged among various healthcare providers, regulatory and government agencies, and people. This unprecedented sharing of sensitive health-related Big Data has raised technical challenges of ensuring robust data exchange while adhering to security and privacy regulations. There must be trust between organizations to catalyze health data exchange. Healthcare organizations need to be confident that the counter entities are authentic and they provide trustworthy health information. We have developed a semantically rich and trusted Compliance Enforcement Framework for sharing large velocity Health datasets.  This framework, built using Semantic Web technologies, defines a Trust Score for each participant in the data exchange process and includes ontologies combined with policy reasoners that ensure data access complies with health regulations, like Health Insurance Portability and Accountability Act (HIPAA). It includes access control delegation through HIPAA, organizations’ policies, and trust levels between organizations. We have validated our framework by applying it to the Centers for Disease Control and Prevention (CDC) Contact Tracing Use case by exchanging over 1 million synthetic contact tracing records.  Furthermore, we explore how our framework can reduce information blocking and contribute to the trusted exchange framework proposed by the Cures Act. We believe our research can facilitate real-time secure data exchange between organizations, leading to high-quality healthcare and patient rights enhancement.