Prospective dialogue and ethical exploration of artificial intelligence intervention into the professional capability construction of medical social workers
10.12026/j.issn.1001-8565.2025.09.16
- VernacularTitle:人工智能介入医务社工专业能力建设的前景对话及伦理探讨
- Author:
Jin DU
1
;
Huiyi YAO
2
;
Zuobing LI
1
Author Information
1. Department of Medical Social Work， Xuanwu Hospital Capital Medical University， Beijing 100053， China
2. Department of Sociology， Peking University， Beijing 100871， China
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
medical social worker;
professional capacity construction;
ethical risk
- From:
Chinese Medical Ethics
2025;38(9):1207-1216
- CountryChina
- Language:Chinese
-
Abstract:
The professional development of medical social workers currently faces several dilemmas， such as insufficient professionalism， unbroken professional barriers， and an incomplete policy system. To address these dilemmas， medical social workers should clarify the dimensions of their professional capabilities and strive to improve their professional capabilities， building a professional capability framework focusing on problem-solving. Meanwhile， with the popularization of AI technology， the cross-field integration and development of “AI + medical social workers” have brought new opportunities for the professional capability construction of medical social workers. For example， big data can enhance the optimization of electronic health record services； virtual reality （VR） and augmented reality can facilitate the electronic standardization of social worker training for clients； and machine learning can promote the transformation of the social work service model towards “risk prediction and advance intervention，” assisting in improving direct service capabilities. ChatGPT and VR remote consultation systems can be used for supervision services， big data cloud classrooms and robot teaching assistants can broaden learning channels， and natural language processing technology can assist in professional document writing， aiding in enhancing indirect service capabilities. However， applying AI technology to the professional capacity construction of medical social workers may also lead to the alienation of the professional service relationship of medical social workers from needs assessment and relationship building to service intervention， further causing ethical risks brought by demand bias， relationship alienation， and weakened subjectivity. Therefore， it is necessary to rationally view AI’s “double-edged sword” effect. While enjoying the field transformation brought about by high and new technology， it is also imperative to address the subsequent challenges from the perspectives of social work professional assessment and review， educational supervision， and ethical awareness enhancement.
