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Assessing the Contribution of Scanned Outside Documents to the Completeness of Real-World Data Abstraction.

Yayi ZhaoRachel HowardRossybelle P AmorrortuSandra C StewartXiaoliang WangGregory Sampang CalipDana E Rollison
Published in: JCO clinical cancer informatics (2023)
There were no major differences in completeness between the two abstractions by demographics, diagnosis, disease progression, performance status, or oral therapy use. However, biomarker data were more likely to be uniquely contained in the SODs. Our findings may help cancer centers prioritize the types of SOD data being abstracted for research or other secondary purposes.
Keyphrases
  • electronic health record
  • big data
  • papillary thyroid
  • stem cells
  • squamous cell carcinoma
  • machine learning