From clinical documentation to patient calls and billing, see how AI can take on repetitive tasks inside the workflows independent practices already use.

Independent providers are spending too much time on repetitive, manual work. New Tebra data finds that 65% spend more than an hour a day on documentation, while 74% of practices spend more than an hour on patient messages and 73% spend another hour on calls, scheduling, and voicemail. 

That work can pile up across the same team members, translating to more after-hours work and less capacity for patient care.  

In Tebra’s latest webinar, See how Tebra AI works for independent practices, Hannah Abrams and Samantha Bergquist showed how AI can take on specific, repetitive tasks within existing workflows, while keeping people in control.  

(For an in-depth discussion on how to identify the right use cases for AI in your practice check out Part 1: What changes when AI does the work it’s built for.)

The webinar followed AI across the patient journey, showing how it can prepare, organize, and surface information for providers, front-office teams, and billers. At every step, people remain in control: editing drafts, approving actions, and making decisions – all while AI helps reduce repetitive work.   

For clinical documentation, Hannah demonstrated how AI Note Assist turns patient-provider conversations into structured notes for the provider to review, edit, and approve. Among practices using AI for documentation, 64% report faster completion, and 52% report less after-hours work.

 AI Patient Summaries can also surface the most relevant details from a patient’s history, giving the provider the context they need before they walk into the exam room.  

Samantha then showed how AI Voice Assistant and AI Message Tagging can support the front desk by categorizing incoming messages, drafting responses, and handling routine patient calls. 

AI can also help practices manage their online reputation by identifying trends in patient feedback and drafting review responses for staff to edit and approve.   

Finally, Hannah introduced AI Billing Assistant, which flags claims with a higher risk of denial and explains what may need attention. Instead of reviewing every claim the same way, billers can focus their expertise where it’s needed most – while retaining control over what happens next. 

These tasks may look different, but they’re all part of the same patient journey, and often handled by the same people on a small independent practice team.

Consider the front desk. Calls, portal messages, scheduling changes, prescription refill requests, and reviews all compete for attention of the same people. When AI takes on some of the routine work inside the systems staff already use, teams have more capacity for complex issues and interactions that need a human touch.  

That’s the larger opportunity Hannah and Samantha demonstrated: not adding another disconnected tool, but bringing AI into connected workflows to reduce manual work and handoffs across the practice.

If you’re considering bringing AI into your workflows, Hannah and Samantha recommended three steps:

1. Start with one workflow. Choose the workflow creating the biggest bottleneck rather than trying to automate everything. 

2. Work within your existing systems. AI is easier to adopt when it handles clearly defined work inside systems your team already uses.  

3. Measure what changes for your team. Look beyond “we implemented AI.” Is there less rework? Fewer interruptions? More capacity for patient care? 
AI can help independent practices reclaim time lost to repetitive work, especially when it supports clearly defined tasks while keeping people in control.  

Watch the full on-demand webinar to see Tebra AI in action across clinical documentation, patient communication, front-office workflows, billing, and reputation management. 

Ready to take action? Schedule your personalized demo to see how Tebra’s AI solutions can fit into your existing workflows.