Shadow AI isn't a future problem. It's here and it's only becoming more pervasive across health systems.
Many apps have web extensions. Free tools are downloaded to help employees with writing and grammar. Employees use free versions of apps, such as ChatGPT, for answering questions and streamlining tasks from thier phones. And vetted vendor partners are updating their solutions regularly with AI-enhanced workflows.
Shadow AI isn't optional.
Not monitoring and governing it is.
AI agents are quickly becoming part of the workforce. They are chatbots in a patient portal. They answer the phone when a patient calls for a prescription refill. They even automate workflows from one platform to another, such as coding and billing an encounter.
But what happens when an agent goes rogue? Whether it was intended or not, the agent has stepped outside of it's chatbot swimlane and is now making clinical recommendations that weren't approved by a physician.
Without proper governance and guardrails in place, your new workforce agents can cause unnecessary headaches and major problems when it comes to outcomes and risks.
With nearly 60% of frontline staff stating they use free AI applications at least once per month and almost 40% using it weekly, you have data leaks.
Common scenarios that lead to unintended data leaks include:
AI evolves and gets smarter as it consumes data. And without proper oversight and governance, it will step into data lakes it's not supposed to. If you don't know what AI is running rampant across your health system, it's impossible to stop it.
Detect, monitor, and govern shadow AI across your health system today.
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