@inproceedings{3117a9c2d588487d859fdd2780ca196d,
title = "Evaluation of mCODE Coverage in EHR: a Scoping Review of Cancer Natural Language Processing",
abstract = "Studies have shown structured data in Electronic health records (EHRs) alone are not sufficient for cancer research and clinical care. In this review, we aim to assess the coverage of Minimal Common Oncology Data Elements (mCODE) in EHR by elucidating the alignment of NLP extracted data elements with this oncology data standard. We conducted a scoping review based on methods proposed by Arksey and O'Malley. In total 123 publications were selected and included in our analysis. Results show that that some critical data elements covered by mCODE are not fully captured as part of structured EHR data. In addition, cancer research and patient care require some data elements beyond mCODE.",
keywords = "cancer research, clinical operation, electronic health records, Minimal Common Oncology Data Elements (mCODE), natural language processing",
author = "Liwei Wang and Sunyang Fu and Andrew Wen and Xiaoyang Ruan and Huan He and Sijia Liu and Sungrim Moon and Michelle Mai and Irbaz Riaz and Nan Wang and Ping Yang and Hua Xu and Warner, {Jeremy L.} and Liu, {Hongfang D}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 10th IEEE International Conference on Healthcare Informatics, ICHI 2022 ; Conference date: 11-06-2022 Through 14-06-2022",
year = "2022",
doi = "10.1109/ICHI54592.2022.00094",
language = "English (US)",
series = "Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "517--518",
booktitle = "Proceedings - 2022 IEEE 10th International Conference on Healthcare Informatics, ICHI 2022",
}