Artificial intelligence is no longer just part of healthcare’s future—it’s defining its present. From diagnostic tools and triage software to billing automation and predictive analytics, AI is now influencing how care is delivered, how decisions are made, and how risks materialize.
For insurance brokers, this transformation represents more than a trend. It’s a call to rethink how coverage is assessed, written, and coordinated. Smart brokers aren’t waiting for AI-related claims to become commonplace. They’re preparing now—by aligning policies with evolving workflows, asking sharper questions, and helping providers build resilience into every layer of protection.
Rethinking Risk in a Machine-Influenced Landscape
AI changes more than how care is delivered—it changes how liability accumulates. A misdiagnosis made with the aid of a black-box algorithm isn’t the same as one made through human error alone. A cyberattack that manipulates automated patient records can create both digital and clinical fallout.
In this new context, professional liability, cyber coverage, and operational policies can no longer be reviewed in isolation. Forward-looking brokers are recognizing that:
- AI tools are not neutral assistants—they shape outcomes, influence decisions, and leave traces that may not be well documented.
- Coverage language often lags behind technology, with exclusions or gaps related to automation, software error, or machine-generated decisions.
- Long-tail claims are more likely, especially when AI-related errors emerge only after secondary review or patient deterioration over time.
This complexity means that brokers who stay rooted in pre-AI risk frameworks will increasingly find themselves caught off guard.
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