Dataset

Professional Ethical Guidance for Healthcare AI Use (PEG-AI)

This pilot study gathered attitudinal data via a survey to address the question: What should be in professional ethical guidance (PEG) to support healthcare practitioners in their use of AI? A cross-sectional survey was designed to gather attitudinal data from participants regarding their views about the contents of PEG-AI in healthcare. 42 respondents reviewed 6 themes and 15 items of guidance content for our proposed PEG-AI.
This work was supported by the Elizabeth Blackwell Institute for Health Research, University of Bristol, with funding from PVCResearch Strategic Research and Innovation Fund (SRIF) which includes Research England’s quality-related (QR) award to the University of Bristol.

Complete download (zip, 1.2 MiB)

Alternative title	Professional Ethical Guidance for Healthcare AI Use (PEG-AI)
Creator(s)	Jonathan Ives, Helen Smith
Publication date	26 Jul 2024
Language	eng
Publisher	University of Bristol
Licence	Creative Commons Attribution 4.0
Warranty	Disclaimer of Warranties and Limitation of Liability
DOI	10.5523/bris.2uj7vq3dbhbcz2kh8n5t91txh3
Citation	Jonathan Ives, Helen Smith (2024): Professional Ethical Guidance for Healthcare AI Use (PEG-AI). https://doi.org/10.5523/bris.2uj7vq3dbhbcz2kh8n5t91txh3
Total size	1.2 MiB

Professional Ethical Guidance for Healthcare AI Use (PEG-AI)

Data Resources