Research on safeguarding the autonomy of artificial intelligence applications for pregnant and postpartum women’s health data
10.12026/j.issn.1001-8565.2026.03.05
- VernacularTitle:孕产妇健康数据AI应用自主权保障研究
- Author:
Deshun LI
1
;
Jiahui LIU
2
;
Yan HONG
3
;
Jingxi CHEN
4
Author Information
1. School of Journalism and Communication， Huaiyin Normal University， Huai’an 223300， China
2. College of Communication Arts and Sciences， Michigan State University， State of Michigan 48824， the United States
3. Department of Health Management， the Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University， Huai’an 223300， China
4. College of Arts & Media， Tongji University， Shanghai 201804， China
- Publication Type:Journal Article
- Keywords:
pregnant and postpartum woman;
artificial intelligence;
health data;
autonomy
- From:
Chinese Medical Ethics
2026;39(3):314-319
- CountryChina
- Language:Chinese
-
Abstract:
From the patient’s perspective， taking the control right of artificial intelligence （AI） in the analysis of pregnant and postpartum women’s health data as the entry point， this paper constructed a patient-centered governance framework for AI medical data control. It defined the different stages and scenarios of applications related to the health data analysis of pregnant and postpartum women， conducted a comparative analysis that combines existing ethical issues concerning AI data control in the medical field， and discussed autonomy issues in health management scenarios from three dimensions， namely， voluntariness， purposiveness， and steadfastness. Based on these discussions， this paper highlighted the reflection on autonomy under the behavioral research paradigm. Starting from the basic actions such as provision， deletion， analysis， triggering， presentation， revision， and response， it regarded technical behaviors as a form of instrumental communication and emphasized ensuring patients’ ample opportunities to participate in interactive links such as “information provision and adoption” “analysis and judgment” “presentation and summarization，” and “feedback and revision.” This will lay a foundation for expanding the existing discussion on medical AI autonomy to the ethical category of information usage.
