Client Overview 

This case study focuses on a small primary care and integrative wellness clinic located in the United States. The single provider offers both in-person and virtual visits while also overseeing several complementary wellness services, including Ayurveda consultation and panchakarma, psychotherapy, and hot stone massage. 

This clinic reflects a common structure among single-provider practices in the U.S., where clinical care and administrative responsibilities often overlap.

The clinic uses a famous EMR for patient records. The clinic has three staff members, only two manage administrative work, and the third supports the provider clinically. Responsibilities such as scheduling, patient intake, documentation, and follow-ups were still handled manually across the team. This created operational bottlenecks and increased the administrative burden on both the staff and the provider. 

Operational Challenges Before AI

1. Documentation Overload

The provider spent a significant amount of time typing SOAP notes, reviewing chart histories, drafting diagnoses, and writing treatment plans. These tasks often extended beyond clinic hours.

This frequently resulted in documentation work continuing late into the evening.

2. Missed Phone Calls & Delayed Scheduling

Without a front-desk team, patient calls frequently went to voicemail. This created delays in scheduling, especially for urgent needs like cold/flu symptoms or UTIs. Patients often had to wait for callbacks, delaying access to timely care.

3. Manual Patient Intake & Follow-Up

All intake forms and follow-up scheduling were done manually, increasing the burden on the provider. This responsibility frequently fell back on the provider during or after clinic hours.

4. Fragmented Clinical and Administrative Workflow

Scheduling, documentation, and triage happened in separate systems, making it difficult to maintain efficiency. This required constant context switching throughout the day.

5. Challenges in Transitioning to a Paper-less Workflow

Although the clinic aimed to become fully digital, heavy documentation demands slowed progress.  The intent was clear, but execution was difficult under daily workload pressure.

Why the Clinic Selected Medozai

The provider needed an AI solution that could reliably handle both administrative and clinical-support tasks. Key reasons for choosing Medozai included:

  • A virtual AI front-desk capable of answering all calls
  • Automated scheduling for routine and same-day acute visits
  • AI-generated SOAP notes, diagnoses, and plans of care
  • Automatic summaries of previous patient chart history
  • Integration with EMR for seamless documentation
  • Support for differential diagnosis for common primary care complaints

A pathway toward a fully digital, paper-less workflow 

AI Solutions Implemented

AI Voice Intake Agent

  • Answered all incoming calls  
  • Scheduled visits in real time  
  • Triaged symptoms based on urgency  
  • Eliminated voicemail overflow 

This ensured no patient inquiries were missed, even during busy clinic hours.

AI Chat Intake Agent

  • Registered new and existing patients  
  • Collected intake details  
  • Managed routine and follow-up scheduling 

This reduced back-and-forth communication for both staff and patients.

Automated Workflow Delivery

    • Intake forms, visit summaries, and notes were delivered digitally  
    • Follow-up tasks were created automatically  
    • Documentation time was significantly reduced 

    This supported the clinic’s transition toward a fully paper-less workflow.

    Measurable Operational Outcomes

    1. Major Reduction in Administrative Time

    The provider saved approximately 60–70% of daily administrative work through automated intake,  documentation, and scheduling.

    2. 100% Call Response Rate

    All calls were answered by the AI voice agent, preventing missed appointments and delayed care. This improved patient confidence that the clinic was accessible.

    3. Faster Access to Same-Day Care

    Patients with common conditions—such as UTIs, cold symptoms, sore throat, cough, or fever—were scheduled immediately when appropriate. 

    4. Progress Toward Becoming Paper-less

    All documentation and intake processes moved to a digital format. This reduced reliance on paper forms and manual record handling.

    5. Improved Patient Satisfaction

    Patients appreciated the faster scheduling, quicker access to care, and consistent communication.

    Key Takeaways for Small Clinics

    This case illustrates how AI can significantly improve operations for a small clinic with limited staff. Medozai enabled the clinic to: 

    • Reduce administrative burden  
    • Provide faster patient access 
    • Automate documentation and intake  
    • Ensure no calls were missed  
    • Create a more consistent and efficient workflow  
    • Move toward a fully digital, paper-less model 

    For single-provider practices, this shift helped restore time for clinical care while maintaining operational stability. 

    Frequently Asked Questions (FAQs) 

    1. Is this case study representative of all U.S. clinics?

    No. This case study reflects a small, single-provider clinic in the United States with limited administrative staff. Results may vary for larger, multi-provider practices or hospital-owned clinics.

    2. Did the AI replace any clinic staff?

    No. The AI tools were used to support administrative workflows such as intake, scheduling, and documentation. Clinical decisions and patient care remained fully provider-led.

    3. Was this implemented alongside the clinic’s existing EMR?

    Yes. The AI workflows were designed to work alongside the clinic’s existing EMR rather than replace it, allowing documentation and records to remain within the clinic’s established system.

    4. Are the reported time savings guaranteed for other clinics?

    No. The reported outcomes reflect this specific clinic’s experience. Actual results depend on clinic size, workflows, patient volume, and implementation approach.

    5. Will this case study be updated in the future?

    Yes. This is a living case study. Additional outcomes and clinician feedback will be added as further implementation insights and testimonials become available.