Workflow
New patients calling interventional pain clinics must provide extensive history: prior procedures, imaging findings, medications, allergies, comorbidities. Manual intake forms or staff-led phone calls are slow and error-prone. An AI receptionist captures this complexity in a single structured conversation.
Instead of a lengthy intake call with a staff member or a patient filling out a paper form, the AI conducts a conversational intake efficiently. All relevant history is captured systematically and returned structured for your staff to review and enter into the chart.
The AI asks specific questions about prior epidurals, nerve blocks, or ablations and when they were done. Current medications are captured with doses. This prevents the provider from re-injecting a site treated recently or missing drug interactions.
The AI asks about imaging on file and captures the facility and date. Your staff can request records before the appointment. Providers have imaging reports available before the consult rather than waiting during the procedure visit.
Diabetes, anticoagulation, immunosuppression, or pregnancy changes intervention planning. The AI captures these upfront so your provider can review safety considerations before the patient arrives. Risk is mitigated during scheduling, not discovered on procedure day.
Pain history captured systematically
Onset, location, radiation, prior treatments, and current medications all documented
Imaging located proactively
Imaging availability identified and records requested before appointment
Comorbidities and allergies flagged
Safety considerations (anticoagulation, immunosuppression, pregnancy) noted for provider review
Structured data ready for staff chart entry
All intake converted to clean summary for your staff to review and file into patient chart
Yes. The AI is trained to recognize lay descriptions ('burning down my leg,' 'sharp pain in my lower back') and translate them into clinical language ('radicular pain,' 'lumbar localized pain'). It also recognizes clinical terms if a patient mentions them. The AI captures both the patient's words and clinical interpretation.
The AI asks for each prior procedure, when it was done, which provider did it, and how long relief lasted. This history is captured and returned to your provider as a timeline. Your provider can see the pattern and recommend the next best step—repeat injection, different location, or escalation to ablation or implant.
The AI asks if the patient has recent imaging (MRI, CT, X-ray) and captures the facility, date, and findings if known. Your staff then retrieves the imaging from the facility or from the patient's prior provider. The AI flags that imaging is needed; your team retrieves it.
No. The AI captures the patient's medication list and comorbidities (diabetes, anticoagulation, immunosuppression). Your provider reviews this for contraindications during the pre-procedure assessment. The AI collects the data; your clinical team assesses safety.
No. The AI returns the intake as a structured summary: pain history, prior procedures, current medications, imaging status, and comorbidities. Your staff reviews this summary and enters it into the patient chart in your EMR. Appointment bookings and patient demographics (name, DOB, phone) do sync to the EMR; clinical history and comorbidities are captured as a structured, pasteable summary for your team to file, so you maintain full control and documentation.
Core Workflow
Patient intake
How AI captures comprehensive medical history, medications, allergies, and comorbidities on first contact.
Core Workflow
New patient scheduling
Booking new patients with complete intake data captured simultaneously for chart preparation.
Next step
AI receptionist for pain management practices
How call handling differs for pain management practices.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
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