Data Science Best Paper Award Winner
Our paper on “A Comparative Analysis of Speed and Accuracy for Three Off-the-Shelf De-Identification Tools” has been awarded the Data Science Best Paper Award at the AMIA 2020 Informatics Summit.
Automatic Text De-Identification: How and When is it Acceptable?
Our interactive panel at the AMIA annual symposium encountered great success and active participation by the audience. The audience experience with automatic text de-identification we limited, based on their feed-back: Presenters included...
Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives
Kim, Y., Heider, P., & Meystre, S. M. (2018). Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives. AMIA Annu Symp Proc. 663–672.
Automated EHR text de-identification
The U.S. Veterans Healthcare Administration (VHA) Consortium for Healthcare Informatics Research (CHIR) is a multi-disciplinary group of collaborating investigators affiliated with VHA sites across the U.S. In the context of the CHIR, this...