Case Studies

Case Study: Healthcare Appointment Scheduling Automation

How a healthcare network automated appointment scheduling calls, reducing no-shows and improving patient satisfaction.

Rachel Green

Healthcare Solutions Lead

Nov 5, 2025
6 min read
Case Study: Healthcare Appointment Scheduling Automation

A healthcare network transformed its appointment scheduling process with AI voice agents. This case study explores that journey and the results.

The Challenge

The scheduling operation faced significant challenges:

  • High Call Volume: A high volume of scheduling calls daily
  • Long Wait Times: Long average hold times
  • Staff Burnout: High turnover in scheduling department
  • No-Show Rate: A high share of appointments missed
  • Patient Frustration: Low patient satisfaction scores
  • The Solution

    The organization implemented Onvea AI voice agents to handle appointment scheduling, integrated with their EHR system.

    Implementation Phases

    Phase 1: New Appointment Scheduling

    AI agents began handling requests for new appointments:

  • Patient identification and verification
  • Provider/specialty selection
  • Availability checking
  • Appointment confirmation
  • Phase 2: Appointment Management

    Expanded capabilities to include:

  • Rescheduling existing appointments
  • Cancellation processing
  • Appointment reminders
  • Waitlist management
  • Phase 3: Proactive Outreach

    Implemented outbound calling for:

  • Appointment confirmation calls
  • Recall notifications
  • Follow-up scheduling
  • Preventive care reminders
  • Results

    After six months of full implementation:

    Operational Efficiency

  • A large share: of scheduling calls handled by AI
  • Average handle time: reduced significantly
  • Staff redeployed: to patient care activities
  • Patient Experience

  • Wait time: reduced dramatically
  • CSAT scores: improved substantially
  • 24/7 scheduling: availability introduced
  • Clinical Outcomes

  • No-show rate: dropped significantly
  • Same-day appointments: utilization increased
  • Preventive care: compliance improved
  • Financial Impact

  • Annual savings: in operational costs
  • Revenue increase: from reduced no-shows
  • Positive ROI: achieved
  • Key Success Factors

    EHR Integration

    Integration with their EHR system allowed real-time:

  • Schedule visibility
  • Patient record access
  • Appointment creation
  • Documentation updates
  • Privacy Considerations

    All interactions were designed with patient privacy in mind:

  • Patient identity verification before sharing any scheduling information
  • Secure data transmission via encrypted channels
  • Audit trail maintenance for scheduling activity
  • *Note: Healthcare deployments should consult with their compliance team regarding HIPAA obligations specific to their organization.*

    Human Escalation

    Clear escalation paths for:

  • Complex scheduling needs
  • Clinical questions
  • Patient concerns
  • Lessons Learned

    This kind of implementation offers insights for other healthcare organizations:

  • Start with straightforward scheduling scenarios
  • Ensure robust EHR integration before launch
  • Train AI on medical terminology and specialties
  • Maintain clear human escalation protocols
  • Continuously refine based on patient feedback
  • Results like these demonstrate that AI voice agents can significantly improve healthcare access while reducing operational burden on staff.

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