Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Healthcare • 5 Locations

Case Study 2: Dental Practice Network

Marketing-optimized case study for Canadian SMBs.

$115,000
Annual Savings
505%
ROI
2.2 months
Payback
Healthcare • 5 Locations
Industry Focus

Executive Summary

Centralized Scheduling System: AI-powered appointment optimization across 5 locations with predictive scheduling based on patient history, procedure types, and provider availability.

Challenge

Solution

  • Centralized Scheduling System: AI-powered appointment optimization across 5 locations with predictive scheduling based on patient history, procedure types, and provider availability.
  • Automated Reminders: SMS and email reminder system with intelligent rescheduling suggestions for missed appointments.
  • Insurance Verification: Automated insurance eligibility checks integrated with major providers' APIs, reducing front desk calls by 85%.

Technical Stack

Key Metrics

18%
No-show rate decreased from 18% to 9.4%
14
Average daily appointments per dentist increased from 14 to 19
8
Front desk staff reduced from 8 FTE to 4 FTE ($78k savings)
35%
Patient wait time reduced by 35%

Implementation Timeline

8 weeks from kickoff to full deployment across all locations

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