With the rapid development of artificial intelligence (AI) technology, its application in hospital management is gradually becoming an important means to improve operational efficiency and the quality of patient health care. This article systematically explores the multidimensional applications of AI in hospital management, including medical services, administration, patient engagement and experience. Through in-depth analysis, the paper evaluates the potential of AI in these areas, especially the significant effect in improving operational efficiency and optimising patient healthcare services. However, the application of AI also faces many challenges, such as data privacy issues, algorithmic bias, operational management, and economic factors. This article not only identifies these challenges, but also provides specific inspiration and recommendations for hospital management in China, emphasises the importance of adaptability and continuous learning, and calls on hospital administrators to actively embrace change in order to achieve both improved patient health outcomes and operational efficiency.
Citation:
WEN Jin, LI Honghao. The future of hospital management: artificial intelligence application scenarios and their challenges. West China Medical Journal, 2024, 39(12): 1837-1841. doi: 10.7507/1002-0179.202412090
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Copyright © the editorial department of West China Medical Journal of West China Medical Publisher. All rights reserved
1. |
|
2. |
|
3. |
González-Pérez Y, Montero Delgado A, Martinez Sesmero JM. Approaching artificial intelligence to hospital pharmacy. Farm Hosp, 48(Suppl 1): S35-S44.
|
4. |
周小芹, 刘慧珍, 王婷, 等. 人工智能赋能医学领域: 多维应用、关键挑战与未来发展方向探讨. 中国胸心血管外科临床杂志, 2024: 1-9.
|
5. |
|
6. |
何文英. 人工智能辅助诊断列入国家医保局立项指南 AI 产业链迎发展良机. 证券日报, 2024-11-25(A03).
|
7. |
|
8. |
|
9. |
|
10. |
|
11. |
|
12. |
|
13. |
|
14. |
|
15. |
|
16. |
|
17. |
|
18. |
|
19. |
|
20. |
|
21. |
|
22. |
|
23. |
Lin X, Duan G, Huang J, et al. Construction of A smart hospital innovation platform using the internet + technology. Altern Ther Health Med, 2024: AT10398.
|
24. |
|
25. |
|
26. |
|
27. |
|
28. |
|
29. |
|
30. |
|
31. |
|
32. |
|
33. |
|
34. |
|
35. |
|
36. |
|
37. |
|
38. |
|
39. |
|
40. |
Sezgin E. Artificial intelligence in healthcare: complementing, not replacing, doctors and healthcare providers. Digit Health, 2023, 9: 20552076231186520.
|
41. |
|
- 1.
- 2.
- 3. González-Pérez Y, Montero Delgado A, Martinez Sesmero JM. Approaching artificial intelligence to hospital pharmacy. Farm Hosp, 48(Suppl 1): S35-S44.
- 4. 周小芹, 刘慧珍, 王婷, 等. 人工智能赋能医学领域: 多维应用、关键挑战与未来发展方向探讨. 中国胸心血管外科临床杂志, 2024: 1-9.
- 5.
- 6. 何文英. 人工智能辅助诊断列入国家医保局立项指南 AI 产业链迎发展良机. 证券日报, 2024-11-25(A03).
- 7.
- 8.
- 9.
- 10.
- 11.
- 12.
- 13.
- 14.
- 15.
- 16.
- 17.
- 18.
- 19.
- 20.
- 21.
- 22.
- 23. Lin X, Duan G, Huang J, et al. Construction of A smart hospital innovation platform using the internet + technology. Altern Ther Health Med, 2024: AT10398.
- 24.
- 25.
- 26.
- 27.
- 28.
- 29.
- 30.
- 31.
- 32.
- 33.
- 34.
- 35.
- 36.
- 37.
- 38.
- 39.
- 40. Sezgin E. Artificial intelligence in healthcare: complementing, not replacing, doctors and healthcare providers. Digit Health, 2023, 9: 20552076231186520.
- 41.