health data privacy

March 8, 2023

Reminder: access to patient information monitored

By Doug Campbell
September 22, 2022

Policy experts discuss abortion ruling and health data privacy

Vanderbilt policy experts discuss how the recent U.S. Supreme Court decision overturning Roe v. Wade and newly enacted state laws limiting or banning abortion can be expected to bring new scrutiny to the privacy vulnerabilities of electronic health records.

By Paul Govern
May 19, 2022

Malin recognized for pioneering data privacy research

Vandrbilt’s Bradley Malin, PhD, has received the Lasting Research Award from the Association for Computing Machinery’s (ACM) annual Conference on Data and Application Security and Privacy.

By Paul Govern
December 16, 2021

Game theory points to new DNA data privacy solutions

Vanderbilt research is blazing a trail for the application of game theory to genomic and health data reidentification risk.

By Paul Govern
April 4, 2019

Report seeks to streamline EHR de-identification

Over the past few decades the electronic health record (EHR) has become an object of intensive study, opening new ground in biomedical research. Natural language sections of the EHR, such as physician’s notes and health team messages, are a rich vein for research, but patient privacy considerations entail first scrubbing patient identifiers from these notes and messages. Historically, this has been accomplished through large, complex software systems that are expensive to develop and maintain.

By Paul Govern
January 12, 2017

Investigators apply game theory to study of genomic privacy

It comes down to privacy — biomedical research can’t proceed without human genomic data sharing, and genomic data sharing can’t proceed without some reasonable level of assurance that de-identified data from patients and other research participants will stay de-identified after they’re released for research.

By Paul Govern
December 1, 2016

Vanderbilt team a winner in health data privacy competition

A two-member team from Vanderbilt has won the 2016 iDASH Healthcare Privacy Protection Challenge, a competition open to international participants and devoted this year to privacy protection for genome analysis in a cloud computing environment.
By Paul Govern