Barriers and facilitators to implementing imaging-based diagnostic artificial intelligence-assisted decision-making software in hospitals in China: a qualitative study using the updated Consolidated Framework for Implementation Research.

Journal: BMJ open
PMID: 39260855

Abstract

OBJECTIVES: To identify the barriers and facilitators to the successful implementation of imaging-based diagnostic artificial intelligence (AI)-assisted decision-making software in China, using the updated Consolidated Framework for Implementation Research (CFIR) as a theoretical basis to develop strategies that promote effective implementation.

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.
  • Feifei Jin
    Department of Biostatistics, Peking University First Hospital, Beijing, China.
  • Jun Zhang
    First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China.
  • Larry Liu
    Merck & Co Inc, Rahway, New Jersey, USA.

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