electronic health records | Digital Health

El-Hayek C, Barzegar S, Faux N, Doyle K, Pillai P, Mutch SJ, Vaisey A, Ward R, Sanci L, Dunn AG, Hellard ME. An evaluation of existing text de-identification tools for use with patient progress notes from Australian general practice. International Journal of Medical Informatics. 2023 May 1;173:105021. https://doiorg.simsrad.net.ocs.mq.edu.au/10.1016/j.ijmedinf.2023.105021

An evaluation of existing text de-identification tools for use with patient progress notes from Australian general practice Digitized patient progress notes from general practice represent a significant resource for clinical and public health research but cannot feasibly and ethically be used for these purposes without automated de-identification. Internationally, several open-source natural language processing tools have

Chen A, Jonnagaddala J, Nekkantti C, Liaw ST. Generation of surrogates for de-identification of electronic health records. Paper presentation. Medinfo 2019: Health and Wellbeing e-Networks for All. L. Ohno-Machado & B. Séroussi (Eds) © 2019 International Medical Informatics Association (IMIA) and IOS Press. doi:10.3233/SHTI190185

Unstructured electronic health records are valuable resources for research. Before they are shared with researchers, protected health information needs to be removed from these unstructured documents to protect patient privacy. The main steps involved in removing protected health information are accurately identifying sensitive information in the documents and removing the identified information. To keep the