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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.
NLM Scrubber Talking Points and Resources (Word)
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.