Can I read Enabling qualitative research data sharing using a natural language processing pipeline for deidentification: moving beyond HIPAA Safe Harbor identifiers on EtoBox?

Enabling qualitative research data sharing using a natural language processing pipeline for deidentification: moving beyond HIPAA Safe Harbor identifiers by Aditi Gupta; Albert Lai; Jessica Mozersky; Xiaoteng Ma; Heidi Walsh; James M DuBois is a Health Professions article available to read on EtoBox.

What is Enabling qualitative research data sharing using a natural language processing pipeline for deidentification: moving beyond HIPAA Safe Harbor identifiers about?

## Abstract ## Objective Sharing health research data is essential for accelerating the translation of research into actionable knowledge that can impact health care services and outcomes. Qualitative health research data are rarely shared due to the challenge of deidentifying text and the potential risks of participant reidentification. Here, we establish and evaluate a framework for deidentifying qualitative research data using automated computational techniques including removal of identifiers that are not considered HIPAA Safe Harbor (HSH) identifiers but are likely to be found in unstructured qualitative data. ## Materials and Methods We developed and validated a pipeline for deidentifying qualitative research data using automated computational techniques. An in-depth analysis and qualitative review of different types of qualitative health research data were conducted to inform and evaluate the development of a natural language processing (NLP) pipeline using named-entity recognition, pattern matching, dictionary, and regular expression methods to deidentify qualitative texts. ## Results We collected 2 datasets with 1.2 million words derived from over 400 qualitative research

Who reads Enabling qualitative research data sharing using a natural language processing pipeline for deidentification: moving beyond HIPAA Safe Harbor identifiers?

Author

Aditi Gupta; Albert Lai; Jessica Mozersky; Xiaoteng Ma; Heidi Walsh; James M DuBois

Publisher

Oxford University Press (OUP)

Published

2021

Language

EN

Field

Health Professions (Health Sciences)