Intelligent selection of healthcare supply chain mode – an applied research based on artificial intelligence

• DOI: 10.3389/fpubh.2023.1310016
• Publication Date: 2023-12-11T04:30:16Z
• Authors: Ping Long; Lin Lu; Qianlan Chen; Yifan Chen; Chaoling Li; Xiaochun Luo
• Keywords: Mode (computer interface)

Introduction Due to the inefficiency and high cost of current healthcare supply chain mode, in order adapt great changes global economy public health, it is urgent choose an effective mode for sustainable development chain. The aim this paper use artificial intelligence systems make intelligent decisions selection. Methods Firstly, according economic benefits, social benefits environmental chain, identifies different modes combination with technology. Secondly, presents choice optimization method based on deep reinforcement learning algorithm. Finally, effect selection verified by simulation experiment. Results Discussion experimental results show that selected basically consistent target while basic method, BP neural network big data from which indicates AI has more advantages medical mode. Therefore, we recommend application management. This study not only makes up ineffective problems existing methods, but also gaps technology field scientific value proposed framework algorithm enrich relevant theories research provide methodological guidance decision-making At same time, enterprises, provides a new practical guideline modern management