Beyond Benchmarking: High-Fidelity Simulations for Dental AI Agent Evaluation
Elevating Our 2025 Event Strategy
Agent-based modeling (ABM) is a computational framework that simulates the actions and interactions of autonomous agents to gain insights into system-level behavior and outcomes. Applying ABM to LLM evaluation allows for the following:
- High-Fidelity Simulations
Crafting realistic clinical scenarios where agents interact dynamically, mirroring real-world complexities.
- Workflow Impact Assessment
Evaluating how LLM agents influence clinical workflows, including task completion and decision-making processes
- Comprehensive Metrics
Assessing chat quality criteria, engagement levels, user frustration, function generation, parameter extraction, and routing capabilities.
Challenges in Testing Conversational Agents
Testing agents is often tedious and repetitive, requiring human validation of response semantics. The dynamic nature of agent interactions presents challenges:
- Semantic Validation
Ensuring responses are contextually appropriate and semantically accurate.
- Dynamic Conversations
Managing unpredictable multi-turn dialogues.
- Automation Integration
Incorporating testing into existing CI/CD pipelines without disrupting workflows.
Peerlogic's Evaluation Framework
To overcome these challenges, Peerlogic's evaluation framework offers:
- Simulator for Environment Creation
The simulator creates a high-fidelity clinical environment where simulated patients, each with a unique persona, interact within practices configured to match their offered procedures. This approach provides a dynamic and realistic evaluation landscape, contextualizing the environment to reflect real-world dental workflows.
- Quantitative Analysis of Tool Calling and Parameter Extraction
We quantitatively analyze the agent's ability to call appropriate tools and accurately extract necessary parameters, ensuring the agent performs tasks correctly.
- LLM as Judge for Automated Evaluation
We automate the evaluation process by leveraging LLMs as judges. The LLM acts as an evaluator, validating the agent's responses and actions and producing results for automatic tests without manual intervention.
- Concurrent Multi-Turn Conversation Orchestration
Simulating multiple dialogues simultaneously to assess agent performance under varied conditions.
- CI/CD Pipeline Integration
Automating agent testing within continuous integration and delivery processes to streamline development.
- Detailed Performance Summaries
Generating comprehensive reports, including conversation histories, test pass rates, and reasoning for pass/fail outcomes.
Quantitative Analysis and Automated Evaluation
Our framework quantitatively assesses vital aspects of agent performance:
- Tool Calling Efficiency
Evaluating how effectively the agent selects and invokes appropriate tools during interactions.
- Parameter Extraction Accuracy
Measuring the agent's precision in extracting necessary parameters from conversations.
- Automated Validation with LLM as Judge
Employing an LLM to automatically validate the agent's responses within the simulation environment, reducing the need for human oversight.
Conclusion
By employing agent-based modeling to evaluate LLM-based conversational agents in dental healthcare, we gain nuanced insights into their capabilities and limitations. Peerlogic overcomes traditional, labor-intensive evaluation methods by quantitatively analyzing tool usage and parameter extraction and automating the process using LLMs as judges—enhancing assessments and contributing to improved patient outcomes by ensuring AI agents operate effectively and safely within dental workflows.
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Having a superior patient experience isn’t just a nice-to-have. It’s the difference between a booked appointment and a missed opportunity.
Today’s patients expect clarity, and convenience, and they expect immediately. They want answers fast, reminders that don’t interrupt their day, and the freedom to communicate on their terms.
The takeaway: the best way meet the myriad of (expanding) patient needs is to do so through text.
The data back it up: patients overwhelmingly prefer text-based communication for everything from scheduling to follow-ups. It’s faster, easier, and puts them in control.
The best front-office systems are meeting that need. Not with voice bots or ticketing systems, but with conversational AI built around how people actually behave, supported by real humans.
Here's what else patients are looking for, according to the data.
1. AI That Listens and Learns, Not Just Talks at People
The power of good conversational AI isn't in replacing your front office. It’s in capturing what patients say, why they say it, and what needs to happen next.
Up to 30% of new patient inquiries go unanswered because of missed or mishandled calls.
One in three patients will not call back. That’s lost revenue that never hits your schedule.
AI built to understand, not just react, helps teams:
- Recognize common questions and concerns
- Follow up with the right patients at the right time
- Turn more calls into booked appointments
2. Voice AI Is Failing the Patient Experience
Most voice bots aren’t designed for empathy. They’re designed to deflect.
Seventy-nine percent of consumers prefer a human for healthcare questions.
Voice bots consistently score lowest in patient satisfaction across all channels.
Healthcare is personal. Patients want to be heard. And that starts with real conversation.
3. Texting Isn’t Just Easier. It’s What Patients Prefer
Here’s where AI can actually enhance the experience. When used correctly, it supports fast, frictionless communication.
Eighty percent of patients say they prefer texting for appointment reminders and updates.
Practices that use intelligent SMS workflows report over 25 percent higher confirmation rates.
Texting isn't impersonal. Poor automation is. When integrated into the right workflow, text becomes a natural extension of your practice.
4. Insights That Drive Real Action
The best conversational AI doesn't just automate. It informs.
With the right platform, teams gain visibility into:
- Call trends and communication breakdowns
- No-show patterns and missed opportunities
- Patient behavior and follow-up needs
Practices using conversation-level insights are reducing no-shows by up to 20 percent and recovering revenue without adding staff.
When AI helps your team connect, follow up, and improve communication in ways patients actually value, everyone benefits. It's not about replacing your people. It's about giving them the tools to do their jobs better.
If you're ready to stop automating for automation’s sake and start connecting in ways that matter, it's time to rethink what AI can do.
Close the Loop. Reopen the Conversation.
Texting isn’t just for reminders. It’s your biggest re-engagement channel hiding in plain sight.
In today’s patient journey, text is the gateway, not the destination. It opens the door for appointment confirmations, reschedules, follow-ups, and most importantly: revenue recovery.
That’s exactly why call tracking matters.
It’s not about surveillance or control. It’s about clarity. When you know what’s happening on the phones, you can better support your team, serve your clients, and keep your schedule full.
What Is Call Tracking?
Call tracking is the ability to see and understand what’s happening with your clinic’s phone activity.
That includes:
- Total incoming calls
- Call volume trends (by time or day)
- Which calls went unanswered
- Which voicemails were returned
- How often calls lead to booked appointments
At Peerlogic, call tracking is built into your phone system—no extra apps, tabs, or reporting tools. The insights are already there, working in the background while your team focuses on patient care.
Why It’s So Helpful in Veterinary Settings
Unlike dental or primary care, veterinary clinics often deal with higher call urgency. When a pet parent calls, it’s not just to schedule a cleaning—it’s often something emotional or time-sensitive.
Your team wants to help. But when the front desk is overloaded, voicemails and missed calls can quietly pile up.
That’s where call tracking makes a difference. It helps your team:
- Spot peak call times and adjust staffing
- Prioritize urgent follow-ups
- Reduce double work (no need to manually log voicemails)
- Focus on care, not chaos
It’s not about doing more. It’s about making what you’re already doing easier and more effective.
Real-Life Benefits for Teams and Clinics
Veterinary clinics using Peerlogic’s call tracking system report more control, less burnout, and stronger client relationships.
Here’s how:
- Team empowerment: Staff know which calls need a response. No more sticky notes or missed voicemails.
- Better client experience: Pet parents feel heard, even if their first call wasn’t answered—thanks to AI-powered text follow-ups.
- Operational insight: Managers can see what’s really happening at the front desk and make informed adjustments.
Many clinics also find they’re able to recover lost revenue simply by following up more consistently. It’s not about pushing more appointments—it’s about not losing the ones already calling.
What Call Tracking Looks Like in Practice
With Peerlogic, there’s no complicated dashboard to learn. You get:
- A simple view of your daily call volume
- Instant access to which calls were missed
- Built-in tools to follow up (automatically or manually)
- Optional AI support that texts clients who didn’t reach a human
If a client calls to reschedule a vaccine or refill a medication and nobody’s available, the system makes sure they still get a response. No dropped balls. No lost trust.
How to Get Started
- Talk with your team. What’s the current process for missed calls and voicemails?
- Identify the gaps. Are voicemails being returned quickly? Do you know how many are missed daily?
- Enable tracking. With Peerlogic, this happens automatically as part of your phone setup.
- Review and adjust. Use the data to guide small improvements—more support at peak times, faster follow-ups, or even automated messages for common requests.
Final Thought: Tools That Help You Do What You Do Best
Call tracking isn’t about doing more, it’s about doing better, with less stress.
Your team wants to deliver a great experience. Your clients want to feel supported. Your practice wants to grow sustainably.
Call tracking helps all of that happen, one small insight at a time.
That’s where call tracking comes in.
Call tracking isn’t just about logging missed calls. It’s about making phone interactions visible, actionable, and easy to manage—so your team can do their best work and your practice can grow with less guesswork.
What Is Call Tracking?
Call tracking refers to the process of monitoring, analyzing, and responding to phone activity in your practice. At its most basic, it tells you:
- How many calls you’re getting
- When they’re coming in
- Who answered (or didn’t)
- What the call was about
But modern systems go a step further. They capture real-time call data, flag important voicemails, and even automate follow-up with tools like AI text-back, ensuring patients get a response even if the front desk is busy.
Why It Matters in a Dental Setting
Dental front desks are often overwhelmed. Calls come in while staff are checking in patients, verifying insurance, or dealing with no-shows. Even the most experienced team can’t catch every ring.
But those missed calls matter.
Behind every unanswered phone call is a potential new patient, an urgent scheduling need, or a loyal patient needing help. Without a system to track and follow up on those calls, it’s easy for opportunities to quietly slip away.
With call tracking in place, you gain visibility into:
- Peak call times (to staff more effectively)
- Call-to-appointment conversion rates
- Voicemails or hang-ups that need attention
- Real-time volume and response patterns
It’s not about monitoring—it’s about enabling.
How It Helps Your Team (Not Just Your Numbers)
A common worry is that call tracking feels like micromanagement. But the right approach supports your front office, not scrutinizes them.
Here’s how:
- Less guesswork. When calls are automatically logged and prioritized, staff don’t have to dig through voicemails or remember who to call back.
- Clearer workflows. Your team knows exactly what needs attention and when. Fewer balls get dropped, and stress levels go down.
- Faster follow-up. AI assistants like Aimee can send a friendly text to patients right after a missed call—keeping the line of communication open even if your team is tied up.
In other words: the phone works for your team, not the other way around.
Real-World Impact
Dental practices using Peerlogic typically uncover patterns they never knew existed—like consistently high call volumes between 8–9 AM or certain staff members closing more appointments due to better phone technique.
And in terms of results:
- Practices recover an average of $1,500–$2,000 per week in appointments tied to previously missed calls.
- Call-to-appointment rates improve when staff have better tools and clearer insights.
- Patient satisfaction increases, simply because people feel heard and helped faster.
Getting Started Is Easier Than You Think
You don’t need to change your whole tech stack or retrain your entire team. Peerlogic’s phones have call tracking built in—along with AI-powered follow-up tools and reporting that’s easy to understand at a glance.
Here’s what to do next:
- Start with a baseline. Look at your current missed call volume, if you track it. If not, we can help.
- Define your goals. Want to reduce missed calls? Speed up follow-up? Boost conversion rates? Set a clear target.
- Turn on call tracking. With Peerlogic, it’s part of the system—not a bolt-on.
- Use the data. Check your dashboard weekly. Are follow-ups happening? Are calls being returned? Use what you see to inform small, smart changes.
Call tracking doesn’t solve everything. But it makes what you’re already doing more effective. It helps your team feel more in control, your patients feel more cared for, and your business more sustainable.
Because the truth is: your phones already tell a story.
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