Calculate AI Time Savings: Podiatry Practices
Podiatry practices are uniquely burdened by recurring patient cycles, particularly regarding diabetic foot care and orthotics management. Manually managing a diabetic recall list or tracking orthotics orders through systems like ModMed or DrChrono consumes dozens of hours that should be spent on patient care. AI automation can handle the heavy lifting of patient outreach, surgical intake, and the complex insurance pre-authorization workflows that often bottleneck foot and ankle clinics.
Your Weekly Hours
Time spent calling or messaging diabetic patients for their 90-day exams to prevent $3K-$5K in lost annual revenue per patient.
Time spent coordinating bunion, hammertoe, or ankle surgery schedules and pre-op requirements.
Time spent on payer portals or the phone securing authorizations for advanced imaging or surgical procedures.
Time spent tracking lab orders and calling patients to schedule fitting appointments once orthotics arrive.
Standard front-desk time spent handling inbound calls for routine foot pain and nail care.
The number of podiatrists in the practice to scale the impact of administrative efficiency.
Your Time Savings
Total Weekly Hours Saved
38 hours
Total Annual Hours Saved
1,989
Annual Administrative Value
$89,505
FTE Capacity Regained
1
Ready to get those hours back?
Free consultation. We will map out exactly which tasks to automate first.
Book a CallYour Day: Before vs After AI
You could save 38 hours every week — that is 1976 hours per year.
Task-by-Task Automation Breakdown
Diabetic Patient Recall
90% automatableAI monitors EHR data (ModMed/NexGen) to identify patients due for 90-day checks and autonomously handles scheduling via voice or SMS.
Insurance Pre-Authorization
65% automatableAI agents navigate payer portals and auto-submit clinical documentation for surgical procedures and orthotics.
Orthotics Management
85% automatableAutomated tracking of custom orthotic lab statuses and instant patient notification/scheduling upon delivery.
Surgical Intake Coordination
70% automatableAI Voice agents collect pre-op history and insurance details, populating the EHR before the patient arrives.
Routine Appointment Triage
80% automatableAI handles high-volume calls for nail debridement or routine care, filtering urgent cases for clinical staff.
Our Recommendation
Start Here
AI Phone Agent for Diabetic Recall & Appointment Triage
Then Add
EHR-Integrated Document Processing for Insurance Pre-Auth
FAQ
Does the AI work with ModMed or DrChrono?
Yes. Our AI solutions integrate via API or secure RPA with major podiatry EHRs like ModMed, DrChrono, and NexGen to sync patient schedules and clinical notes in real-time.
Can AI really handle complex diabetic recall conversations?
Absolutely. The AI is programmed with podiatry-specific logic to explain the importance of the 90-day exam, check for existing wounds, and book the appointment directly into your calendar.
Is the system HIPAA compliant?
Yes. Read Laboratories ensures all AI workflows are HIPAA compliant, with signed BAAs and end-to-end encryption for all patient data.
How does AI help with surgical pre-authorizations?
AI automates the repetitive parts of the process: logging into payer portals, checking status, and extracting requirements from the EHR to ensure the submission is complete, reducing denials.
What is the typical setup time for a podiatry practice?
Most practices see their first automated workflows live within 3-4 weeks, starting with high-impact areas like inbound call handling or diabetic recall.
Serving Podiatry Practices businesses nationwide. Based in Westlake Village, CA.