What to avoid when deploying AI in healthcare.
If you're a healthcare company deploying AI, avoid this.
Epic just dropped over 160 AI tools into its EHR platform.
But this is not the time to celebrate.
This is a governance nightmare.
Epic’s rollout is the most ambitious push we’ve seen.
And while the headlines focus on the sizzle...
The real story is governance.
Because when AI touches clinical and operational workflows...
Lack of control is the risk.
As a CISO, here’s what concerns me:
Model Validation
PHI Exposure
Third-Party Risk
Auditability
Patient Trust
One oversight at this scale can impacts hundreds of health systems at once!
Have we not learned anything from the Change Healthcare breach?
So why does it matter?
Believe it or not AI is still in it’s infancy stages, healthcare is critical infrastructure, it’s the most targeted sector by hackers, and patients lives are at risk.
I always call this the 1st round of attacks because most compromises are due to phishing attacks. Coming in 2nd are breaches due to vendors. Once and if organizations ever get good at defending phishing attacks the “second” wave of attacks will be AI systems or more network based.
The point is that deploying AI at this scale is a massive undertaking even for a billion dollar company like Epic. Due to the sensitive nature of PHI and patients, AI should be deployed slowly starting with low risk tasks and gradually scale to larger high risk assignments, period!
Governance = Trust
If you’re not HIPAA compliant, you’re risking patient data, liability and business.
If you’re a health systems breaches can wreck havoc on operations.
For health tech companies, health systems don’t care about your new AI features, they care about efficient workflows and trust.
If HIPAA compliance leaves you overwhelmed, let us help you navigate it with confidence.
Our trusted compliance service helps you secure your systems leaving you with peace of mind!
Schedule a call now to talk with an expert.
