Streamlining Foot Care: AI & Automation for Modern Podiatry Clinics

For diabetic patients, regular 60-day screenings are non-negotiable. We implement automated recall systems that trigger SMS or AI voice calls based on the 'Last Appointment Date' field in Jane App or Cliniko. By categorizing patients by risk level (Low, Moderate, High), the system can escalate high-risk non-responders to your front desk while automatically booking routine maintenance for others via a HIPAA-compliant interface.

Many foot care patients are seniors who find complex online booking portals frustrating. We deploy AI voice agents using Twilio and Deepgram that handle inbound calls 24/7. These agents can check real-time availability in SimplePractice or NexGen, answer common questions about clinic location or parking, and book appointments directly into your calendar using natural language processing.

The 2-4 week wait for custom orthotics is a frequent source of 'status check' calls. We automate this by connecting your lab’s shipping notifications to your EHR via Zapier or Make. Patients receive automated updates when their casts are received by the lab, when fabrication is complete, and an SMS with a booking link once the orthotics arrive at your Westlake Village office or local clinic.

Verifying podiatry coverage—especially for routine nail care which often has strict medical necessity requirements—is time-consuming. We use Robotic Process Automation (RPA) tools to log into payer portals 48 hours before an appointment to verify active coverage and remaining orthotic benefits, flagging any discrepancies for your billing team before the patient arrives.

Closing the loop with primary care physicians is essential for diabetic care. We automate the generation and delivery of treatment summaries to referring GPs. Once a chiropodist signs off on a clinical note in NexGen, an AI-summarized report is automatically faxed or emailed via secure portal to the referring physician, ensuring compliance and maintaining professional relationships.

Following nail surgery or ulcer treatment, patient adherence to dressing changes is critical. We setup automated 'check-in' sequences that send daily SMS reminders for 7 days post-op. Patients can reply with a photo of the wound site, which is then analyzed by an AI vision model to flag signs of infection (redness, exudate) for immediate clinician review.

Reduce the time spent on SOAP notes by 50% using ambient AI scribes. These tools listen to the consultation and automatically draft the objective and assessment portions of the note. For foot care, these are customized to include specific metrics like monofilament test results, pedal pulse strength, and gait analysis findings, which are then synced directly to the patient record.