Workflow
Pain patients present with complex histories: multiple prior procedures, extensive medication lists, comorbidities, and allergy flags. Learn how AI reception captures this complexity on the first call and returns a structured, EMR-ready summary.
Pain intake involves multiple dimensions: onset, character, severity, radiation, aggravating/alleviating factors, and prior treatments. AI reception asks your standardized set of questions in a logical flow and returns the full history in one structured note—saving clinicians from asking the same questions again.
Comprehensive pain medication lists (opioids, NSAIDs, anticoagulants, muscle relaxants) and allergies are safety-critical and time-consuming to gather. AI captures these on the call; clinical staff review and verify during chart prep. By visit time, the list is confirmed and complete—reducing prescribing errors and adverse events.
Patients with cardiac history, renal impairment, or anticoagulation require special procedural considerations. AI asks about these during intake and flags them in the summary. Clinicians see the flags before the visit and can adjust planning accordingly.
Many pain patients have had prior injections or ablations. AI asks what prior procedures they've had and whether they helped. This history is valuable context for the clinician and reduces redundant questioning during the visit.
Standardized pain history documented
Onset, character, severity, radiation, triggers, and prior treatments captured on intake call
Full medication list verified pre-visit
Analgesics, anticoagulants, muscle relaxants, and other comorbidity medications captured and flagged
Allergies and contraindications screened
Drug allergies, procedural agent allergies, and relevant comorbidities identified for clinical review
Prior intervention history documented
Previous procedures and outcomes noted to inform current treatment planning
Standard pain assessment includes: onset (acute vs. chronic), location, character (sharp, dull, burning), severity (1-10 scale), radiation pattern, aggravating/alleviating factors, duration, prior treatments, response to current medications, and functional impact. You can customize the question set based on your practice's protocols.
The AI asks the patient to list all current medications, then asks clarifying questions about dose, frequency, and indication. For pain-relevant medications (opioids, NSAIDs, muscle relaxants, anticoagulants), the AI specifically captures these and notes any gaps. The structured list is returned for clinical verification and chart entry.
Yes. You can configure the AI to ask about history of bleeding disorders, anticoagulation, cardiac implants, infections, or other procedure-specific contraindications. Positive answers are flagged in the summary for clinical review before scheduling confirmation.
The AI captures what the patient reports and flags unclear or inconsistent information in the summary. Clinical staff can then follow up before the visit or clinicians can clarify during the appointment. The system is designed to gather as much as possible on the call while flagging gaps for human review.
The AI returns a structured summary that staff review and verify against the chart. New patients' demographics, phone, and appointment details are written to the EMR. The intake summary itself is pasteable into clinical documentation for staff to review and file—it does not auto-populate the chart; clinical staff verify and file it.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
Want the numbers first? See plans and pricing
