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1.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-798675

RESUMO

With the development of big data, the Internet and information technology, artificial intelligence is gradually being applied to the field of hospital management. The authors used advanced artificial intelligence technology to conduct structured collection and monitor the hospital′s current medical quality data, identifying key points and key events affecting medical quality and safety from the link, and providing medical personnel′s behavior with pre-warning, process monitoring and post-evaluation to improve hospital medical quality management.

2.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-798674

RESUMO

The combination of healthcare and artificial intelligence is an important direction of medical development. The authors summarized the application of artificial intelligence in such fields as diagnosis, treatment, prevention, scientific research, teaching among others. The analysis covers the problems and challenges facing the development of artificial intelligence, and looks forward to the application prospect of artificial intelligence.

3.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-872199

RESUMO

The combination of healthcare and artificial intelligence is an important direction of medical development. The authors summarized the application of artificial intelligence in such fields as diagnosis, treatment, prevention, scientific research, teaching among others. The analysis covers the problems and challenges facing the development of artificial intelligence, and looks forward to the application prospect of artificial intelligence.

4.
Artigo em Chinês | WPRIM (Pacífico Ocidental) | ID: wpr-872196

RESUMO

With the development of big data, the Internet and information technology, artificial intelligence is gradually being applied to the field of hospital management. The authors used advanced artificial intelligence technology to conduct structured collection and monitor the hospital′s current medical quality data, identifying key points and key events affecting medical quality and safety from the link, and providing medical personnel′s behavior with pre-warning, process monitoring and post-evaluation to improve hospital medical quality management.

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