Unapproved AI tools can expose patient data, violate compliance, and create risk you can’t see.
Unapproved AI tools may already be exposing PHI, patient communications, billing details, and internal practice data, creating compliance, privacy, and security risks across your locations that leadership cannot see or control.
Your staff may already be using public AI tools with patient information, clinical notes, billing details, appeal letters, patient communications, or internal business information without leadership, IT, or compliance teams knowing.
AI tools such as ChatGPT, Microsoft Copilot, Google Gemini, Claude, browser extensions, transcription apps, note summarizers, and embedded AI features are used in everyday work.
If your practice does not know which AI tools are being used, what data is being entered, which users are accessing them, or whether those tools have been approved for healthcare use, you may have a growing compliance and security blind spot.
Your teams may already be using AI to save time and reduce administrative burden, often without a formal review or approval process.
Providers or staff may use AI tools to draft visit summaries, care instructions, referral notes, or documentation support.
Billing teams may use AI to generate appeal letters, claim justifications, payer responses, or supporting documentation.
Administrative teams may use AI to create patient messages, FAQs, outreach content, appointment reminders, or follow-up instructions.
For multi-location practices, this risk can spread quickly. Different offices, departments, providers, and administrative teams may adopt different tools for different workflows, making it difficult to maintain consistent oversight across the organization.
Even one unapproved AI tool can create privacy, compliance, and security concerns, especially when sensitive healthcare information is involved.
Patient data, clinical notes, billing records, or other protected health information may be entered into tools that are not approved to handle healthcare data.
AI tools may introduce third-party data handling, retention, privacy, or contractual concerns if they have not been reviewed.
Browser extensions, AI plug-ins, transcription tools, and summarizers may access sensitive content inside web applications or bypass normal security review.
Without monitoring, logging, and review, leadership may not be able to prove which AI tools are being used, who is using them, or what data is being shared.
Sensitive information entered into prompts may be stored, logged, reused, or processed outside approved systems.
Lack of clear AI policies leaves your practice vulnerable to inconsistent usage, employee confusion, and avoidable compliance exposure.
Magna5’s Shadow AI Risk Assessment is a focused review designed for healthcare practices that uncovers hidden AI risks and identifies practical steps to reduce exposure. This includes where AI is already being used, whether sensitive data may be at risk, and what governance or technical controls are needed to support safer AI adoption.
The goal is not to stop AI usage altogether. The goal is to help your practice gain visibility, reduce risk, and create a more secure framework for responsible AI use.
What the Assessment Reviews:
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