To fully realize AI’s benefits, health systems must mitigate risks through strong governance — a framework of policies and oversight that ensures AI is deployed responsibly, transparently and securely.
Just as the digitization of diagnostic imaging and electronic health records (EHRs) transformed healthcare, AI adoption must strike the right balance between innovation and caution. It’s not just about integrating AI; it’s about implementing it in the right way to drive value without introducing risk.
Governance and cybersecurity are interconnected pillars of a scalable AI strategy. Embedding best practices into daily operations helps health systems unlock AI’s full potential while maintaining trust and safety.
As Tim Calahan, CTO at Michigan Medicine, puts it:
“The AI governance piece is so much more critical in healthcare than perhaps it is in other industries. As we put these things into production, it’s not only important to evaluate ‘does it work?’ but also what are the guardrails?’”
Leaders who take a strategic, risk-aware approach will be the ones who achieve long-term value from AI. To explore best practices and real-world insights, download our guide on AI governance and cybersecurity.
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