Attitudes and Needs of Health Care Providers Toward Artificial Intelligence–Assisted Pediatric Palliative Care: Mixed Methods Study - Summary - MDSpire

Attitudes and Needs of Health Care Providers Toward Artificial Intelligence–Assisted Pediatric Palliative Care: Mixed Methods Study

  • By

  • Siyu Cai

  • Qiaohong Guo

  • Zishen Wang

  • Ruixin Wang

  • Xuan Zhou

  • Xiaoxia Peng

  • July 2, 2026

  • 0 min

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Objective:

To systematically characterize PPC health care providers’ attitudes toward and needs for the application of AI in pediatric palliative care.

Approach:
  • Study Design: An explanatory sequential mixed methods approach was used, integrating quantitative data from a cross-sectional questionnaire with qualitative insights from semistructured interviews.
  • Participant Selection: Eligible participants included healthcare providers delivering direct patient care within recognized PPC teams in China, with specific experience requirements.
  • Data Collection: A questionnaire was distributed to PPC teams, covering demographics, AI usage experience, attitudes, and needs for AI applications in PPC.
Key Findings:
  • A total of 352 healthcare providers participated, yielding a response rate of 68.62%.
  • Participants expressed varying levels of familiarity and attitudes toward AI applications in PPC.
  • There is a recognized need for AI tools that align with the unique challenges and ethical considerations in PPC.
Interpretation:

The findings highlight the necessity for AI tools tailored to the specific context of pediatric palliative care, addressing both clinical and emotional needs.

Limitations:
  • The study was limited to PPC teams in mainland China, which may affect the generalizability of the findings.
  • The reliance on self-reported data may introduce bias in the responses regarding AI familiarity and attitudes.
Conclusion:

The study provides evidence-based insights into the perspectives of PPC healthcare providers on AI applications, which can inform future AI tool development.

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