%0 Journal Article
%T Assessing the Readability of Freely Available ICU Notes
%A Danny T.Y. Wu
%A Kevin Dufendach
%A Wu-Chen Su
%J Archive of "AMIA Summits on Translational Science Proceedings".
%D 2019
%X Unstructured data stored in an electronic health record (EHR) system can be very informative but require techniques such as natural language processing to extract the information. Developing such techniques requires shared data, but clinical data are often not easy to access. A freely available intensive care unit database, MIMIC-III, was released in 2016 to address this issue and benefit the informatics research community. While the database has been utilized by a few studies, the text characteristics of the notes have not been summarized. In this study, we present the summary of the basic text characteristics and the readability of the MIMIC-III ICU notes. We further compare the results with our previous study where proprietary EHR notes were used. The results show that the text characteristics of MIMIC-III notes were comparable with proprietary EHR notes, although the note readability index was slightly lower. The clinical notes in MIMIC-III can be a viable option for researchers who are interested in cliniciansĄŻ language use but have no access to proprietary EHR systems
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6568110/