Malin Lab

The Health Information Privacy Laboratory (HIPLAB) at Vanderbilt University was founded to address the growing needs for privacy technology research and development for the emerging health information technologies sector. The goal of the HIPLAB is to improve the protection of patients' privacy in health information systems. The HIPLAB performs basic, as well as, applied research in a number of health-related areas, including primary care and secondary sharing of patient-specific data for research purposes. Projects in the HIPLAB are multi-faceted and draw upon methodologies in computer science, the biomedical sciences, and public policy. We aim to improve the standard of healthcare and health information systems by developing technologies that enabling trust.

Publications

Featured publications

  1. Data re-identification: societal safeguards. Altman RB, Clayton EW, Kohane IS, Malin BA, Roden DM (2013) Science 339(6123): 1032-3
    › Primary publication · 23449577 (PubMed) · PMC3740512 (PubMed Central)
  2. Enabling genomic-phenomic association discovery without sacrificing anonymity. Heatherly RD, Loukides G, Denny JC, Haines JL, Roden DM, Malin BA (2013) PLoS One 8(2): e53875
    › Primary publication · 23405076 (PubMed) · PMC3566194 (PubMed Central)
  3. Specializing network analysis to detect anomalous insider actions. Chen Y, Nyemba S, Zhang W, Malin B (2012) Secur Inform 1(5)
    › Primary publication · 23399988 (PubMed) · PMC3566705 (PubMed Central)
  4. Auditing medical records accesses via healthcare interaction networks. Chen Y, Nyemba S, Malin B (2012) AMIA Annu Symp Proc : 93-102
    › Primary publication · 23304277 (PubMed) · PMC3540438 (PubMed Central)
  5. Biomedical data privacy: problems, perspectives, and recent advances. Malin BA, Emam KE, O'Keefe CM (2013) J Am Med Inform Assoc 20(1): 2-6
    › Primary publication · 23221359 (PubMed) · PMC3555341 (PubMed Central)
  6. Quantifying the Correctness, Computational Complexity, and Security of Privacy-Preserving String Comparators for Record Linkage. Durham E, Xue Y, Kantarcioglu M, Malin B (2012) Inf Fusion 13(4): 245-259
    › Primary publication · 22904698 (PubMed) · PMC3418825 (PubMed Central)
  7. A practical approach to achieve private medical record linkage in light of public resources. Kuzu M, Kantarcioglu M, Durham EA, Toth C, Malin B (2013) J Am Med Inform Assoc 20(2): 285-92
    › Primary publication · 22847304 (PubMed) · PMC3638181 (PubMed Central)
  8. Reducing patient re-identification risk for laboratory results within research datasets. Atreya RV, Smith JC, McCoy AB, Malin B, Miller RA (2013) J Am Med Inform Assoc 20(1): 95-101
    › Primary publication · 22822040 (PubMed) · PMC3555327 (PubMed Central)
  9. Hiding in plain sight: use of realistic surrogates to reduce exposure of protected health information in clinical text. Carrell D, Malin B, Aberdeen J, Bayer S, Clark C, Wellner B, Hirschman L (2013) J Am Med Inform Assoc 20(2): 342-8
    › Primary publication · 22771529 (PubMed) · PMC3638183 (PubMed Central)
  10. Anonymization of longitudinal electronic medical records. Tamersoy A, Loukides G, Nergiz ME, Saygin Y, Malin B (2012) IEEE Trans Inf Technol Biomed 16(3): 413-23
    › Primary publication · 22287248 (PubMed) · PMC3779068 (PubMed Central)

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Keywords & MeSH Terms

MeSH terms are retrieved from PubMed records. Learn more.

Key: MeSH Term Keyword

Aged, 80 and over Algorithms Anonymous Testing Computer Security Confidentiality Databases, Genetic Electronic Health Records Ethics Committees, Research Genealogy and Heraldry Genetics, Population Hospital Information Systems Information Services International Classification of Diseases Middle Aged Models, Statistical Patient Discharge Pedigree Population Surveillance Security Measures User-Computer Interface