Patient Intake
Capturing pain character, prior treatments, imaging and functional goals before a pain management consultation.
The AI guides patients through detailed pain characterization (location, radiation, quality, severity scale, timing, triggers, relieving factors) before their first visit. Clinicians receive a complete pain narrative, reducing in-office assessment time.
Systematically collects prior pain interventions (injections, blocks, ablations, medications, physical therapy, interventional procedures) to inform treatment planning and avoid duplicate procedures.
Captures patient-reported functional goals (return to work, recreational activity, sleep quality, pain-free activities) to establish baseline metrics and measure treatment success.
Collects prior imaging dates, modalities, and results. Flags missing or outdated imaging required for procedure planning and triggers imaging orders before the appointment.
Verifies insurance coverage, authorization requirements, and copay/deductible status before the visit. Identifies patients requiring financial counseling or pre-authorization follow-up.
Structured pain assessment
Location, severity, duration, character, onset, triggers documented systematically
Treatment history capture
Prior procedures, injections, medications, and interventions logged completely
Functional goals documented
Patient-reported objectives for pain reduction and activity restoration recorded
Imaging prerequisite collection
Prior imaging dates, type, and results verified; missing studies identified
Insurance pre-screening completed
Coverage, authorization needs, and patient financial responsibility determined pre-visit
The AI captures pain location, radiation pattern, severity (0-10 scale), character (sharp, burning, aching, etc.), onset, duration, frequency, triggers, relieving factors, and impact on daily activities in a structured format for clinician review.
Yes. Patients can initiate intake via phone call (IVR with escalation to voice AI), SMS link to web forms, or patient portal. Responses are captured, structured, and synced to the EHR before arrival.
Yes. The system flags concerning symptoms (progressive neurological deficit, cauda equina signs, infection indicators, malignancy concerns) and escalates to clinical staff for triage and possible urgent evaluation.
The AI collects current medications, doses, frequencies, allergies, and adverse reactions. This data is cross-checked against the EHR and flagged for clinician review before prescribing or procedure planning.
Yes. The AI collects insurance information and, where integrated, performs real-time verification of coverage, deductible status, and pre-authorization requirements for planned procedures.
Platform
AI Annie Patient Intake
Voice and form-based patient intake automation with EHR integration.
Specialty
AI Receptionist Specialty Medical Practices
Specialty-tuned intake workflows for complex medical and procedural practices.
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See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.