Advanced Intake
AI-driven intake uses conditional logic to tailor questions dynamically. If a patient reports diabetes, follow-up questions about management appear. Irrelevant questions are skipped entirely, keeping intake brief and clinically focused.
Patients only answer questions applicable to their situation. A patient with no surgical history doesn't spend time on surgical intake. Faster calls, better patient experience.
The AI follows your practice's decision logic, ensuring no critical information is missed. Clinicians see the pathway the patient took and understand the clinical context.
Your practice defines the branching logic once (e.g., "if diabetic, ask about insulin and HbA1c"). Changes to questions or branches are simple, non-technical updates.
Because the AI asks relevant follow-ups in the call itself, clinical staff don't have to reach back to the patient for missing information. Intake summaries are structured and EMR-pasteable for your team to review and file.
Conditional branching supported
Follow-up questions asked based on prior responses
Irrelevant questions skipped automatically
Shorter, focused intake conversations
Complex multi-branch logic
Supports nested conditions and multiple decision paths
Non-technical rule definition
Your team defines branching without coding or developer support
Work with the MedReception team to map out your decision tree. For example: "If patient reports diabetes, ask about type, current meds, and HbA1c control. If no diabetes, skip those questions." The AI is trained on that logic and applies it during calls. No coding required.
Yes. The AI can follow complex logic trees. Example: "If patient over 50 AND reports chest pain, ask about cardiac risk factors and prior testing. If under 50 OR no chest pain, skip cardiac intake." Nested conditions are supported.
The AI is trained to handle unexpected answers gracefully. It asks clarifying questions, gathers relevant information, and notes any ambiguities in the structured summary for your staff to follow up on. No dead ends or missed data.
Yes. You can update branching rules, add new branches, or modify existing logic. Changes take effect on the next call. Older intake summaries remain unchanged; new calls use the updated logic.
The AI actively follows the logic in real time—it doesn't ask skipped questions, adapts the conversation naturally, and ensures no information is missed. A paper form relies on patients reading and following skip patterns, which often fails. AI branching is reliable, conversational, and complete.
Core Hub
Patient intake
Learn how AI-driven intake with logic and branching improves clinical readiness.
Specialty Configuration
Configured per specialty
Explore how branching logic is tailored by medical specialty.
Example Workflow
AI receptionist for primary care practices
See how primary care uses conditional intake logic for complex patient histories.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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