A quick summary of notable news from the HIPLab (in progress).
- We were awarded a 4-year grant from the National Human Genome Research Institute to develop "A Risk Management Framework for Identifiability in Genomics Research". This is a collaborative project with Ellen Wright Clayton and Murat Kantarciolgu (at the University of Texas at Dallas).
- We are a subcontract for David Carrell (at the Group Health Research Institute) on a 3-year grant from the National Library of Medicine to develop "Scalable and Robust Clinical Text De-identification Tools".
- Janos Mathe (lab affiliate) successfully defended his doctoral dissertation, "The Precise Construction of Patient Protocols: Modeling, Simulation, and Analysis of Computer Interpretable Guidelines"!
- Brad Malin (lab director) presented testimony on governance models for the collection, use, and dissemination of community health data before the Subcommittee on Privacy, Confidentiality, & Security of the National Committee for Vital and Health Statistics. This testimony was delivered on behalf of the Electronic Medical Records and Genomics Network
- Elizabeth Ashley Durham successfully defended her doctoral dissertation, "A Framework for Accurate, Efficient Private Record Linkage"!
- Brad Malin, was elected to fellowship in the American College of Medical Informatics (ACMI).
- Acar Tamersoy successfully defended his master's thesis, "Anonymization of Longitudinal Electronic Medical Records for Clinical Research".
- Our paper, "Leveraging Social Networks to Detect Anomalous Insider Actions in Collaborative Environments," was honored as a top paper of the IEEE Intelligence and Security Informatics Conference. An extended version will appear in the journal Security Informatics as "Specializing Network Analysis to Detect Anomalous Insider Actions".
- We had two extended abstracts accepted to the 2nd USENIX Workshop on Health Security and Privacy (HealthSec'11):
- Role Prediction Using Electronic Medical Record System Audits - authored by Wen Zhang, Carl Gunter, David Liebovitz, Jian Tian, and Brad Malin
- Context-Aware Anomaly Detection for Electronic Medical Record Systems - authored by Xiaowei Li, Yuan Xue, You Chen, and Brad Malin
- Brad Malin delivered a presentation entitled, "Technologies to Enable Privacy in Biomedical Databanks", before the National Library of Medicine Board of Regents.
- Elizabeth Ashley Durham, a doctoral student in the lab, won the Student Paper Competition at the 2010 American Medical Informatics Annual Symposium for her paper, "Private Medical Record Linkage with Approximate Matching".
- Brad Malin was awarded the Presidential Early Career Award for Scientists and Engineers (PECASE): White House, National Human Genome Research Institute, National Library of Medicine, Vanderbilt, Computing Community Consortium
- Our PNAS paper on anonymization of electronic medical records for genomic research generated a flurry of media buzz: ComputerWeekly, GenomeWeb, Nature News, Science News, Scientific American, Technology Review, The Register, Wired, ZDNet
- ArsTechnica reported on our participation in a panel on biobanking and privacy at the 2010 AAAS Annual Symposium.
- GenomeWeb wrote this story about our NLM grant on privacy technologies for data sharing and integration in biomedical databanks.
- Our paper, "Do Clinical Profiles Constitute Privacy Risks for Research Participants?" received the Distinguished Paper Award at the 2009 American Medical Informatics Annual Symposium. It was subsequently published in an extended form in the Journal of the American Medical Informatics Association as "The Disclosure of Diagnosis Codes can Breach Research Participants' Privacy".
- Department of Biomedical Informatics, Vanderbilt University
- Department of Electrical Engineering and Computer Science, Vanderbilt University
- Electronic Medical Records and Genomics Network, NIH sponsored
- Team for Research in Ubiquitous Secure Technology, NSF sponsored
|Brad Malin was featured in Genome Technology magazine's cover story on privacy.|