Marshall Health Network launches AI-powered online patient scheduling and registration with Notable

Marshall Health Network deployed Robotic Process Automation for Patient Engagement & Access in Hospital & Health System. third-news.com reports no complete outcome metric.

Maintained by Peter Korpak, Lead EditorHow evidence is checked

What Marshall Health Network was trying to fix

Marshall Health Network, an academic health system in West Virginia, faced challenges with patient access and administrative burden. Manual scheduling and registration processes created excessive paperwork and contributed to staff burnout, while patients lacked convenient self-service options for booking appointments.

What Marshall Health Network deployed

MHN partnered with Notable to deploy an AI-powered online scheduling and registration platform across primary care clinics. The system allows patients to book appointments online and complete registration forms ahead of visits, with both online and phone scheduling options available. Notable's platform automates scheduling and patient registration workflows within the existing clinical framework.

Results

The platform is expected to reduce patient wait times and minimize no-show rates by improving appointment booking reliability. Administrative burdens on healthcare staff are anticipated to decrease significantly, reducing burnout from paperwork and manual data entry. The rollout began at pilot sites and is planned to expand to additional primary care clinics and other service lines.

Key Takeaways

  • Dual scheduling channels (online + phone) increase reliability and reduce no-shows while accommodating diverse patient preferences.
  • Digitizing pre-visit registration shifts administrative work away from staff and toward self-service, directly addressing burnout.
  • Piloting at select sites before system-wide rollout allows iterative improvement based on patient and staff feedback.

Evidence for Marshall Health Network's Patient Engagement & Access deployment

Reported outcome metrics
Not reported by source
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