Australian researchers reveal three key elements driving public acceptance of AI in healthcare.
Key Details
- 1Study led by University of Queensland researchers and published in JAMA Network Open (Aug 4).
- 2Workshops with 34 healthcare patients (age 31-60) identified trust, structural support, and performance reliability as core to AI's 'social license.'
- 3Participants wanted clear governance and reliable performance from AI systems, especially in healthcare settings.
- 4Clinicians' relationships with patients influence trust in AI and acceptance of its use.
- 5The study provides actionable guidance for sustainable and patient-centered AI integration in healthcare.
Why It Matters
As imaging AI becomes central to the practice of radiology, understanding and building 'social license' is critical for safe adoption. These insights can inform governance and clinician-patient engagement strategies for implementing clinical AI tools.
Source
HealthExec
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