Consumers freely share health information online but are wary of AI diagnosis using their data, according to a Pew Research Center survey. Risks and benefits of AI-powered analysis in healthcare are evolving, affecting consumer trust. Physicians are increasingly using large language models for clinical decision-making, raising concerns about patient data quality and privacy. Healthcare leaders must prioritize building consumer trust through robust data protection measures, like implementing controls on data access, establishing a data governance committee for AI innovation, and mitigating re-identification risks. While facing hurdles, healthcare organizations can leverage AI to introduce life-changing applications by addressing risks and securing consumer trust.
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Building Consumer Trust in AI Innovation: Key Considerations for Healthcare Leaders
