Open Tools for Data De-identification

Class Experience Level
Beginner, Intermediate

This class is no longer accepting registrations

The class will provide a brief introduction to data science topics and terminologies.

Topics will include AI in healthcare, explaining what natural language processing (NLP) is, and discussing HIPAA privacy requirements and defining PII. This first part will be brief and focus on providing a foundational understanding. The second and bulk of the class will focus on the NLM Scrubber and other examples of NLP models that can be used for clinical deidentification. The class will cover how to promote these tools at the librarians' institution.

By registering for this class, you are agreeing to the NNLM Code of Conduct

This presentation addresses data and health information resources, as well as the NLM initiative of building a data-ready workforce by including information about de-identifying data and the NLM Scrubber resource.

Objectives:

1. Define artificial intelligence and natural language processing.

2. Compare NLM Scrubber and other clinical de-identification tools.

3. Implement open de-identification tools into library instruction and outreach programs.

Class Recording

Class Details

Date(s): August 6, 2024
Time: 2:00 PM - 3:00 PM EDT
Platform: Zoom
CE Credits: 1.00
CE Categories: DSS Level 1
Class Experience Level: Beginner, Intermediate
This is a National NNLM class.
Learn more about this class and find other upcoming instances:

Class Contacts

Technical Assistance: Rebecca Brown

Can't join us live?

Register anyway and you'll receive the recording after the event.