Clinical notes are the best record of a provider's perceptions of their patients, but their use in studying racial bias in clinical documentation has typically been limited to manual evaluation of small datasets.
In this 60-minute webinar, we discuss our investigation of the use of computational methods to scale these insights to large, heterogeneous clinical text data and the results of our analysis which showed that computational tools have significant potential for studying racial bias in large clinical corpora and identified key challenges to providing a nuanced analysis of bias in clinical documentation.
By the end of this webinar, participants will be able to:
• Explain the potential for using computational tools to study racial bias in large clinical corpora.
• Outline some of the challenges to providing a nuanced analysis of bias in clinical documentation.