Why Evidence-Based AI Tools Win Trust — And General AI Doesn't

Trust in AI looks very different depending on which tool is doing the work. A new report from EBSCO Clinical Decisions surveyed 1,000 U.S. clinicians and 1,000 U.S. consumers to reveal a striking gap: evidence-based AI tools are earning clinician confidence, while general-purpose AI like ChatGPT is eroding patient trust.

Key Takeaways

• 80% of clinicians trust evidence-based AI-CDS tools, compared to widespread skepticism toward general AI models.
• 64% of consumers prefer seeing a professional who does not use AI at all. Yet when told the tool is evidence-based, 66% say their trust increases.
• 54% of consumers say their trust decreases if a general-purpose AI tool is involved in their care.
• AI-CDS saves real time: 75% of clinicians save four minutes or more per patient encounter; 87% say it frees up mental energy for clinical reasoning.

The report underscores a critical message for any organization deploying AI: how the tool is built and what data it's trained on matters as much as what it does. Evidence-based AI — traceable, verifiable, domain-specific — earns trust. Black-box general models don't.

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