Cost supervision mining from EMR based on artificial intelligence technology.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
PMID: 36617803

Abstract

BACKGROUND: To effectively monitor medical insurance funds in the era of big data, the study tries to construct an inpatient cost rationality judgement model by designing a virtuous cycle of inpatient cost supervision information system and exploring a complete set of inpatient cost supervision methods.

Authors

  • Site Xu
    School of Public Health, Fudan University, Shanghai, China.
  • Tiantian Zhang
    College of Petroleum and Chemical Engineering, Longdong University, Qingyang, Gansu 745000, China.
  • Tao Sheng
    School of Computer Science and Technology, Fudan University, Shanghai, China.
  • Jiaxing Liu
    School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan, China.
  • Mu Sun
    Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Li Luo
    Department of Intensive Care Unit, First Affiliated Hospital, Chongqing Medical University, Chongqing 400016, China.

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