Maple AI Consultants

AI consulting case studies by Joel & Nanz Inc.

Healthcare • 85 Caregivers

Case Study 17: Home Healthcare Agency

Marketing-optimized case study for Canadian SMBs.

$134,000
Annual Savings
390%
ROI
3.6 months
Payback
Healthcare • 85 Caregivers
Industry Focus

Executive Summary

Caregiver Scheduling: AI optimization considers patient needs, caregiver skills/certifications, geographic proximity, traffic patterns, and time-off requests. Automatically fills last-minute callouts.

Challenge

Solution

  • Caregiver Scheduling: AI optimization considers patient needs, caregiver skills/certifications, geographic proximity, traffic patterns, and time-off requests. Automatically fills last-minute callouts.
  • Patient Intake: Automated patient assessment questionnaire with HIPAA-compliant data collection. Routes urgent cases to clinical team immediately.
  • Medication Management: Automated medication reminder system for patients with SMS/call confirmations. Alerts care team if doses are missed.

Technical Stack

Key Metrics

88%
Scheduling conflicts reduced 88%
23%
Caregiver drive time reduced 23% ($38k fuel savings)
72%
Caregiver utilization increased from 72% to 89%
81%
Patient medication adherence improved from 81% to 94%
2
Eliminated 2 FTE scheduling coordinator roles ($78k savings)

Implementation Timeline

12 weeks including HIPAA compliance validation and caregiver training

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