Cerbo EHR · Capacity
Scheduling Rules for Cerbo EHR AI Integration
Translate Cerbo visit types and provider preferences into AI booking scripts that staff can trust.
Section 1
Why Cerbo scheduling rules must live at the phone edge
Cerbo's scheduling system is powerful — provider-specific visit types, custom time blocks, and appointment reasons can all be configured. But those rules are invisible to an inbound caller unless the AI has been trained on them.
The goal is to mirror your Cerbo scheduling logic in the AI intake script so every call captures exactly what Cerbo needs to create the appointment correctly.
Section 2
The four scheduling rules to configure first
Start with the rules that generate the most scheduling errors or staff rework. For most Cerbo practices, those are: provider preference (which providers see which patient types), visit-type eligibility (what appointment type is appropriate for this reason), duration rules (new patients need longer slots), and insurance or payment rules (cash-pay vs. membership vs. insurance).
- Provider preference: map patient types and conditions to the right provider
- Visit-type eligibility: prevent patients from booking the wrong appointment type
- Duration rules: flag new patients for longer slots before a human confirms
- Payment rules: identify self-pay, membership, and insurance patients upfront
Section 3
Maintaining rule accuracy over time
Cerbo scheduling rules change — providers go on leave, visit types are added, membership tiers evolve. Establish a monthly review where your Cerbo admin audits the AI routing logic against current Cerbo configuration.
The review takes 20–30 minutes and prevents the most common post-launch issue: AI booking patients into slots that no longer exist.
Ready to implement this for your Cerbo practice?
Book a demo and we'll walk through your specific Cerbo workflow — scheduling rules, Chart Parts templates, and after-hours coverage — and show you exactly how MedReception AI handles it.