AI adoption is outpacing policy
Nurses and clinicians use ChatGPT and Copilot to draft notes and summaries. Nobody intended to share patient data. But when you're in a hurry, a name or case number slips in.
Keep patient data out of AI tools, email, and chat.
Who this is for
Clinical staff use AI assistants and chat tools every day. Without a privacy layer, patient names, diagnoses, and identifiers slip into prompts. BeeSensible shows what's sensitive before the prompt is submitted.
Where it goes wrong today
Nurses and clinicians use ChatGPT and Copilot to draft notes and summaries. Nobody intended to share patient data. But when you're in a hurry, a name or case number slips in.
A quick message to a colleague. A case summary copied into a reply. These aren't malicious. They're routine. BeeSensible makes the risk visible at the moment it happens.
Documenting that controls are in place and working requires operational data, not just a policy statement or a once-a-year training session.
Inline guidance, not a blocker
Highlights appear while people type, on the same screen, in the same tool. Patient names, BSN numbers, and medication details are visible before anything is sent.
How BeeSensible helps
The product covers the surface where the risk actually lives: the compose area of the AI tools and communication apps your people already use.
BeeSensible recognises patient names, BSN, DiagnoseBehandelCombinatie identifiers, medication names, and clinical context. No custom setup required.
Detection runs inside the browser tools your team uses today. No separate application, no workflow disruption, no IT project.
The admin dashboard shows exposure by app and category at team level. No individual monitoring, no stored message content.
Provide evidence that technical controls are in place and working, with detection statistics and handled-rate data to support your audits.
Give clinical staff a privacy layer that keeps up with how they actually work.