De-identification Methods for Open Health Data: The Case of the Heritage Health Prize Claims Dataset

Written by Khaled El Emam, PhD; Luk Arbuckle, MSc; Gunes Koru, PhD; Benjamin Eze, MSc; Lisa Gaudette, MSc; Emilio Neri, BEng; Sean Rose, MSc; Jeremy Howard; Jonathan Gluck, this paper explores the privacy concerns of open health data by de-identifying the claims data used in the HHP competition and ensuring that it meets the requirements in the U.S. Health Insurance Portability and Accountability Act (HIPAA) Privacy Rule.

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