Hi all, Our team is conducting a retrospective study involving electronic medical records (EMR) data and we are trying to identify tools that can help us automate the removal of PHI from unstructured text data. By “unstructured data” we mean free narrative text containing many possible points of interest, as opposed to structured variable tables with rows and columns. The note text is itself in a structured table, however, with the following columns: patient ID, date, note subject, note text. These notes contain medical information about patients: nurses’ notes, physician notes, discharge summaries, specialty reports, etc. We need to de-identify our data using the “Safe harbor” method: removal of 18 identifiers recommended by HIPAA, including names, dates, contact information, ages >89, ID numbers, etc. of patients or relatives, employers, or household members of patients, as well as device identifiers, serial numbers, and policy numbers. We are wondering if Nvivo is capable of locating these particular types of data within text, and either remove or replace the found data. We then would like to export the de-identified data in its table format (i.e. columns: patient ID, date, notes subject, [now de-identified] note text. Any help or ideas would be much appreciated! Thank you in advance. Simone Simone K. Orlowski, PhD Research Fellow, User Centered Design Connected Health Innovation | Partners Healthcare 25 New Chardon Street, Suite 300 Boston, MA 02114 SORLOWSKI@mgh.harvard.edu Tel: (617) 643-9951 www.partners.org/connectedhealth<applewebdata://0FA5F0C5-81C4-4329-977A-26B32175AC51/www.partners.org/connectedhealth> The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.