Orthotics & DME
Casting, lab turnaround, pickup, break-in and refits each generate a call. Automate the status and scheduling half, keep the clinical half with staff.
Is it ready, when do I come in, what will it cost — the orthotic cycle generates a steady stream of pure logistics. Every one of those that reaches a human is a minute taken from wound care coordination, authorizations, and the callers who actually need someone.
The gap between the lab delivering a device and the patient collecting it is dead time for the practice and a poor experience for someone who has been waiting weeks. When the pickup call goes out on schedule and the dispense visit is booked in the same conversation, the gap closes.
Telling a patient at the counter that their adjustment is no longer covered by the refit window is an avoidable conversation. Checking the window while they are still on the phone means the expectation is set before anyone drives in.
Therapeutic shoe and custom device programs live or die on paperwork from another clinician. Capturing the certifying physician and the date last seen there on the first call gives staff weeks of runway instead of a scramble after the device is made.
Answered in under a second
Status calls never sit on hold in front of a clinical one
Your fee schedule, your words
Cost answers are read from what your practice authorizes, never improvised
Structured summary per call
Device type, stage of the order, and next step recorded for the chart
That depends on where the status lives. If it sits in a system we can read, the AI can report it; integrations are available through API or FHIR, and custom integration is available for lab or DME tracking elsewhere. Where it cannot see status, it captures the request and routes it on your rules. It never guesses.
It reads the prices and coverage language your practice authorizes, exactly as written. It does not interpret a plan's benefits or promise coverage; questions beyond your script route to staff.
It captures the documentation your program requires, including the physician managing the patient's diabetes and the date last seen there, and delivers it as a structured summary. Whether a patient qualifies is decided by your staff under the applicable payer rules, not by the AI.
That call follows the protocol you wrote for it — commonly a routed message to clinical staff, an adjustment appointment, or both. The AI does not advise on break-in periods, tell a patient to push through discomfort, or suggest a modification to the device.
Yes. Each is booked as its own visit type with its own duration, and where a direct scheduling connection exists, against live availability. On any system, the call produces a structured summary your staff review; the AI makes no autonomous changes to the record.
That is a clinical question, so it becomes a booking rather than an answer. The AI captures what the caller describes and schedules the evaluation your practice uses, leaving the recommendation to the clinician who examines the foot.
Related
Routine Foot Care Calls vs Pathology in Podiatry
The other request that arrives constantly and has to be sorted before it is booked.
Related
Post-Op Foot Surgery Calls and Weight-Bearing
Device and dressing questions in the post-surgical window, and why they route out.
Workflow
AI Receptionist Patient Callback Management
Turning status requests into a worked queue instead of a stack of pink slips.
Pillar guide
AI Receptionist for Podiatry Practices (ModMed EMA)
The full podiatry front-desk picture: wound checks, diabetic foot, routine care, and orthotics inside your EMA build.
See how MedReception AI handles after-hours calls, scheduling, intake, and patient communication for medical practices like yours.
