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- W4294975008 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." @default.
- W4294975008 created "2022-09-08" @default.
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- W4294975008 date "2022-06-01" @default.
- W4294975008 modified "2023-09-29" @default.
- W4294975008 title "Evaluation of mCODE Coverage in EHR: a Scoping Review of Cancer Natural Language Processing" @default.
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- W4294975008 doi "https://doi.org/10.1109/ichi54592.2022.00094" @default.
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