Health Information Privacy Laboratory (HIPLAB)

More details coming soon...

ANONYMITY & DE-IDENTIFICATION: Data Privacy in Clinical and Genomics Data Sharing
- Related NIH Grant: Vanderbilt Genome Electronic Medical Record Project
- Related NIH Grant: Scalable and Robust Clinical Text De-identification Tools
- Related NIH Grant: A Risk Management Framework for Identifiability in Genomics Research
- Related NIH Grant: Administrative Coordination Center for the Electronic Medical Records and Genomics Network
- Software: Demographic Assessment of Re-identification Risk Toolkit
  - This software has two functions. First, it uses population-based statistics to assess the likelihood
    that demographics could be used to re-identify individual records. Second, it uses an intelligent
    search method to discover disclosure "policies" that have re-identification risk no worse than a predefined
    threshold (e.g., HIPAA Safe Harbor).
  - Please Note: This extends and replaces the old project Vanderbit Demographic Assessment of Risk Toolkit
- Software: SOEMPI: Secure Open Enterprise Master Patient Index
  - This software provides implementation for privacy preserving record linkage (and also conventional record linkage) techinques.

CONFIDENTIALITY: Electronic Medical Record Access Logs Analytics
- Related NIH Grant: Automated Detection of Anomalous Accesses to Electronic Health Records
- Related NSF Grant: Experience-Based Access Management for Hospital Information Technology
- Related NSF Grant: Team for Research in Ubiquitous Secure Technology
- Software: EMOAT: Extensible Medical Open Audit Toolkit
- Software: Healthcare Organization Relational Network Extraction Toolkit

SECURITY: Cryptographic Approaches to Biomedical Information Management
- Related NIH Grant: Technologies to Enable Privacy in Biomedical Databanks

Current and Past Funding Support

Positions Available

Post-doctoral researchers, Ph.D. students, & programmers. Work on biomedical data privacy, data mining, & systems implementation.

On our winning solution to the iDASH Genome Privacy Competition (2016)

GenomeWeb article (2013)

Nature News Science News Technology Review reports on our electronic medical record anonymization algorithms (2010)

A Game Theoretic Framework for Analyzing Re-identification Risks PLoS One

Optimizing Annotation Resources for Natural Language De-identification via a Game Theoretic Framework Journal of Biomedical Informatics

Preserving Temporal Relations in Clinical Data While Maintaining Privacy Journal of the American Medical Informatics Association

Optimizing Secure Classification Performance with Privacy-Aware Feature Selection 32nd IEEE International Conference on Data Engineering