Automatic De-identification of Textual Documents in the Electronic Health Record:
A Review of Recent Research
Stephane M Meystre1*, F Jeffrey Friedlin3, Brett R South1,2, Shuying Shen1,2, Matthew H Samore1,2, August 2010
Wilson Chapman J Pathol Infom, October 2010
The Vanderbilt Synthetic Derivative
Daniel R. Masys, MD, Professor and Chair, Department of Biomedical Informatics, Professor of Medicine, Vanderbilt University School of Medicine, October 2010
Moffitt Unified Intelligence Insight
Hugh Cruse, Manager Information Technology
H. Lee Moffitt Cancer Center, Tampa, FL, April 2009
A Commercial Approach to De-Identification
by Dan Wasserstrom, March 2010
Development of a Large-Scale De-Identified DNA Biobank to Enable Personalized Medicine
CLINICAL PHARMACOLOGY & THERAPEUTICS | VOLUME 84 NUMBER 3 | SEPTEMBER 2008
DM Roden, JM Pulley, MA Basford, GR Bernard, EW Clayton, JR Balser and DR Masys
Patricia Skarulis - Vice President and CIO Memorial Sloan-Kettering Cancer Center, New York
HEALTHCARE INFORMATICS
January 2008
A Rapid-Learning Health System
by Lynn M. Etheredge
January 2007
HIPAA Creating Barriers to Research and Discovery
Association of Academic Health Centers, 2008
Evaluation of a De-identification (DE-ID) Software Engine to Share Pathology Reports and Clinical Documents for Research
Dilip Gupta, MD, Melissa Saul and John Gilbertson, MD; Am J Clin Pathol 2004;121:176-186
Research Repositories, Databases, and the HIPAA PRIVACY RULE
NIH Publication Number 04-5489 January 2004
Clinical Research and the HIPAA Privacy Rule
NIH Publication Number 04-5495 February 2004