CliniDeID doing great when compared with other text de-identification tools

As presented yesterday (March 23, 2020) by Paul Heider (MUSC, Charleston, SC) at the AMIA Summits conference converted to a virtual event, CliniDeID allowed de-identifying clinical notes with significantly higher accuracy (recall and precision) than Amazon Comprehend Medical or NLM Scrubber. For example, CliniDeID found 99.89% of the mentions of patient names, Amazon Comprehend Medical found 92.91% and NLM Scrubber 89.61%.