Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Healthcare • 12 Therapists

Case Study 25: Mental Health Practice

Marketing-optimized case study for Canadian SMBs.

$68,000
Annual Savings
495%
ROI
2.3 months
Payback
Healthcare • 12 Therapists
Industry Focus

Executive Summary

Intake Screening: HIPAA-compliant chatbot conducts initial intake assessment, identifies crisis situations (routes to immediate resources), and matches patients with appropriate therapist specialties.

Challenge

Solution

  • Intake Screening: HIPAA-compliant chatbot conducts initial intake assessment, identifies crisis situations (routes to immediate resources), and matches patients with appropriate therapist specialties.
  • Appointment Management: AI scheduling considers therapist specialties, insurance networks, and patient preferences. Automated reminders reduce no-shows.
  • Insurance Verification: Automated eligibility checks and benefits verification for mental health coverage. Estimates patient out-of-pocket costs before first session.

Technical Stack

Key Metrics

48
New patient intake time reduced from 48 hours to 2 hours
22%
No-show rate decreased from 22% to 9%
68%
Therapist schedule utilization increased from 68% to 87%
54%
Insurance denials reduced 54%
1
Eliminated 1 FTE intake coordinator role ($48k savings)

Implementation Timeline

8 weeks including HIPAA compliance validation

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