A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008-2017.

Journal: BMC medical informatics and decision making
Published Date: Dec 7, 2018

Abstract

BACKGROUND: The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitative comparison on the research of utilizing artificial intelligence on electronic health records between the USA and China to discovery their research similarities and differences.

Authors

  • Xieling Chen
    College of Economics, Jinan University, Guangzhou, China.
  • Ziqing Liu
    The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Li Wei
    The First Affiliate Hospital of Guangzhou Medical University, Guangzhou, China.
  • Jun Yan
    Department of Statistics, University of Connecticut, Storrs, CT 06269, USA.
  • Tianyong Hao
    School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China. haoty@gdufs.edu.cn.
  • Ruoyao Ding
    School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China. ruoyaoding@gdufs.edu.cn.

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