Automated medical chart review for breast cancer outcomes research: a novel natural language processing extraction system.

Journal: BMC medical research methodology
PMID: 35549854

Abstract

BACKGROUND: Manually extracted data points from health records are collated on an institutional, provincial, and national level to facilitate clinical research. However, the labour-intensive clinical chart review process puts an increasing burden on healthcare system budgets. Therefore, an automated information extraction system is needed to ensure the timeliness and scalability of research data.

Authors

  • Yifu Chen
    Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison 53706, USA.
  • Lucy Hao
    Department of Computer Science, University of British Columbia, Faculty of Science, 201-2366 Main Mall, Vancouver, BC, V6T 1Z4, Canada.
  • Vito Z Zou
    Department of Surgery, University of British Columbia, Faculty of Medicine, 2221 Wesbrook Mall, Vancouver, BC, V5Z 1M9, Canada.
  • Zsuzsanna Hollander
    PROOF Centre of Excellence, Vancouver, BC, Canada.
  • Raymond T Ng
    PROOF Centre of Excellence, Vancouver, BC, Canada.
  • Kathryn V Isaac
    Department of Surgery, University of British Columbia, Faculty of Medicine, 2221 Wesbrook Mall, Vancouver, BC, V5Z 1M9, Canada. kathryn.isaac@ubc.ca.

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