Recent advancement in integrating artificial intelligence and information technology with real-world data for clinical decision-making in China: A scoping review.

Journal: Journal of evidence-based medicine
Published Date:

Abstract

OBJECTIVE: Striking innovations and advancements have been achieved with the use of artificial intelligence and healthcare information technology being integrated into clinical real-world data. The current scoping review aimed to provide an overview of the current status of artificial intelligence-/information technology-based clinical decision support tools in China.

Authors

  • Xiwen Liao
    Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China.
  • Chen Yao
    Division of Vascular Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510800, China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Disease, First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China. Electronic address: yaochen@mail.sysu.edu.cn.
  • Jun Zhang
    First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Larry Z Liu
    Center for Observational and Real-world Evidence (CORE), Merck & Co Inc, Rahway, Rahway, New Jersey, USA.