Facilitating accurate health provider directories using natural language processing.

Journal: BMC medical informatics and decision making
PMID: 30943977

Abstract

BACKGROUND: Accurate information in provider directories are vital in health care including health information exchange, health benefits exchange, quality reporting, and in the reimbursement and delivery of care. Maintaining provider directory data and keeping it up to date is challenging. The objective of this study is to determine the feasibility of using natural language processing (NLP) techniques to combine disparate resources and acquire accurate information on health providers.

Authors

  • Matthew J Cook
    Center for Quantitative Medicine, University of Connecticut Health Center, Farmington, CT, 06030, USA.
  • Lixia Yao
    Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA.
  • Xiaoyan Wang
    Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai, China.

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