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Creating reliable clinical agents requires more than just building them—it also requires monitoring their behaviour and continuously evaluating their performance. Clinia offers tracing, coaching and testing capabilities to help organizations understand how agents behave, improve their outputs and benchmark them against internal or industry standards.

Why Monitor Agents?

Agents operate autonomously and can make decisions or suggestions that affect patient care. Transparent monitoring ensures that every interaction can be audited, building trust and meeting regulatory obligations.

Automatic Trace Recording

Clinia automatically records traces of agent conversations, tool calls and memory updates, enabling teams to review the agent’s reasoning and outputs after the fact.

Coaching and Evaluation

Coaching allows subject‑matter experts—such as your clinical team—to provide feedback on an agent’s responses, thought processes and tool usage.

How Coaching Works

1

Feedback Collection

Subject-matter experts provide feedback on agent responses and decision-making patterns.
2

Memory Storage

Feedback is stored as part of the agent’s memory, helping the model improve over time.
3

Pattern Learning

Through coaching, the agent learns which patterns produce successful outcomes and which should be avoided.

Evaluation Methods

Evaluation goes hand‑in‑hand with coaching. Clinia supports both qualitative and quantitative evaluation methods:
  • Testing
  • Synthetic Evaluation
  • Metric Tracking

Interactive Testing

Interact with the agent the way end users would and see how it responds to real queries.
  • 🧪 Real-world scenarios
  • 👩‍⚕️ Clinician perspective testing
  • 📋 Use case validation

Putting It All Together

Development Lifecycle Integration

For Clinia users, monitoring and benchmarking are integral parts of the development lifecycle:

1. Enable Tracing and Review

Start by enabling tracing and reviewing the agent’s logs to understand its reasoning patterns and decision-making process.

2. Provide Coaching Feedback

Use the coaching interface to give feedback on responses and refine the agent’s behavior based on clinical expertise.

3. Benchmark Performance

When ready, benchmark your agent using standardized tasks or tailor your own evaluation scenarios to measure effectiveness.

4. Measure Key Metrics

Remember to measure both:
  • Technical metrics: Accuracy, latency, response time
  • Business outcomes: Clinician satisfaction, throughput, patient care quality

5. Cross-Reference and Improve

Cross-link these assessments with the agent’s memory and tool usage to identify areas for improvement and optimize performance.

Next Steps

Test Your Agent

Design and run interactive tests to validate your agent’s behavior in real-world scenarios.

Set Up Benchmarks

Create standardized evaluation workflows to measure performance consistently over time.

Configure Metrics

Define and track key performance indicators for both technical and business outcomes.

Review Agent Memory

Analyze how coaching feedback and interactions are stored and utilized by your agent.
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