Unlocking Insights from Clinical Notes with the EMERSE Text Processing Tool
When: Sep. 30th, 2024 10:00 am - 11:00 am
Learning Level: Any
To Know
About this Class
In this webinar, you'll gain insights into the Electronic Medical Record Search Engine (EMERSE). EMERSE is a simple, powerful tool to help researchers like you identify key data within free text clinical notes from electronic health record systems.
Presenter: David Hanauer, MD, MS, FACMI, FAMIA
Director of MICHR Informatics Program
Associate Professor of Learning Health Sciences
Associate Professor of Informatics, U-M School of Information
Clinical Associate Professor of Pediatrics
Non-technical research teams can use EMERSE to quickly find rare mentions of anything within the free text notes including diseases, gene names, drugs, side effects, and more.
With support from the NCI Informatics Technology for Cancer Research program, the EMERSE team recently launched a version with built-in natural language processing (NLP) capabilities, blending the power of NLP with the simplicity of search.
Currently, 18 research centers in the U.S. (and one in Europe) currently run or are implementing EMERSE. You can find information at https://project-emerse.org/.
For questions contact Daoud Meerzaman or Kayla Strauss.