Real-Time PII & PHI Protection in Telemedicine

Telemedicine platforms increasingly use AI assistants to handle patient intake, triage symptoms, answer questions, and collect information before a consultation. These conversations can contain highly sensitive data, including symptoms, medication histories, names, identification numbers, and other PII/PHI.

Challenges in Telemedicine Industry: Protecting PHI and PII

As AI assistants scale, telemedicine providers need to send conversation data through AI models, logging systems, and analytics platforms to improve performance. However, these conversations can contain personally identifiable information (PII) and protected health information (PHI), which can present significant privacy and compliance risks if shared with third-party providers. Healthcare organizations therefore need to find a way to identify and protect sensitive information in real time, before it leaves their controlled environment, without disrupting the patient experience.

At the same time, clinical teams need to continuously refine and update the prompts that guide these AI assistants. While they have the domain expertise required to write and improve these prompts, they often depend on developers to implement, test, and deploy every change. This creates bottlenecks for clinical teams who want to experiment, conduct A/B testing, or update prompts without waiting for developers.

Our Solution: Real-Time AI Data Protection and Prompt Management

RezunateLLM acts as a real-time AI data protection layer between the patient-facing application and the AI infrastructure. It inspects each message before it reaches third-party AI models, logs, or analytics tools.

The middleware detects and classifies sensitive information including PII, PHI, ID numbers, medication-related information, and other identifiers - and can flag, redact, or block that information based on the platform’s rules.

Because it operates at the data layer, RezunateLLM can be integrated into an existing AI stack without rebuilding or retraining the AI assistant.

Our prompt management enables clinical and other domain experts to create, manage, version, test, and roll back prompts through a centralized dashboard - without relying on developers to implement every change in code.

Because RezunateLLM operates as middleware, both capabilities can be integrated into an existing AI stack without requiring the underlying AI assistant to be rebuilt or retrained.

Impact Highlights:

• Protected patient PII and PHI in real time, across a high volume of concurrent AI conversations. 
• Maintained compliance with healthcare privacy regulations without disrupting the patient experience. 
• Reduced exposure to third-party AI providers and analytics vendors by protecting sensitive data before it left the platform. 
• Enabled clinical teams to manage, version, test, and roll back prompts without relying on developers.
• Integrated at the data layer, avoiding the need to rebuild or retrain the existing AI assistant. 

Build AI With Control

Protect sensitive data. Give domain experts control. Manage prompts without developer bottlenecks.

See how RezunateLLM brings real-time AI guardrails and prompt management together in one infrastructure layer.