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Porting this software to other hospital settings and note types proved difficult and required fine-tuning the regular expressions for each installation. 
This lead to the creation of the "3.X" Scrubber, combining autocoding and de-identification tasks to maximize research utility and minimize site specific customization.

This new approach using machine learning analyzes similaraties and differences betwen physician notes, medical dictionaries, and medical journal publications.