Workflow Differences Affect Data Accuracy in Oncologic EHRs: A First Step Toward Detangling the Diagnosis Data Babel.

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Abstract

Diagnosis (DX) information is key to clinical data reuse, yet accessible structured DX data often lack accuracy. Previous research hints at workflow differences in cancer DX entry, but their link to clinical data quality is unclear. We hypothesized that there is a statistically significant relationship between workflow-describing variables and DX data quality.

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Author and article information

Journal

Journal ID (iso-abbrev): JCO Clin Cancer Inform

Title: JCO clinical cancer informatics

Publisher: American Society of Clinical Oncology (ASCO)

ISSN (Electronic): 2473-4276

ISSN (Print): 2473-4276

Publication date (Electronic): June 2020

Volume: 4

Affiliations

[1 ] University of North Carolina at Charlotte, Charlotte, NC.

[2 ] Wake Forest School of Medicine, Winston Salem, NC.

[3 ] North Carolina State University, Raleigh, NC.

Article

DOI: 10.1200/CCI.19.00114

PMC ID: 7331128

PubMed ID: 32543899

SO-VID: 178249bb-a101-4cd2-8314-525de77f12ee

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