Simplifying AI for Revenue Cycle Management: How MediMobile and UnisLink Are Cutting Through the Noise

Artificial Intelligence in healthcare is one of the most talked-about topics today. Everyone is curious about how it can save time, reduce errors, and improve financial performance, but for many organizations, it also feels confusing and out of reach.

That is exactly why UnisLink’s James Muir invited Lauren Hall, Director of Account Management at MediMobile, to join him for a special session on how to simplify AI adoption for revenue cycle management. Together, they walked through how MediMobile’s Genesis platform makes automation practical, transparent, and human-centered.

From start to finish, this conversation is about clarity over complexity, real results over buzzwords, and the reassurance that AI can work with you, not against you.

Watch the webinar on YouTube:

Why AI Matters in the Revenue Cycle

Lauren began with a question that everyone in healthcare can relate to: what do people actually need? Her answer was simple and honest.

“What do clinicians need? They need time. And what do billers and coders need? They need more time.”

That single insight is what led MediMobile to create Genesis, their AI-powered medical coding solution. For more than 20 years, MediMobile has worked side by side with clinicians and billing teams, and they saw firsthand how much time was being lost to manual coding and missed revenue opportunities.

Genesis reads the documentation that providers already create in the EMR, identifies CPT and diagnosis codes, and applies them automatically in seconds. Providers no longer need to look up codes or retype information, and coders no longer spend hours reviewing repetitive cases.

What this means in practice:

• Providers save an average of 10 to 20 hours per week.
  
  
• Coding teams reduce their workload by about 75 percent.
  
  
• Accuracy improves to over 95 percent, verified across specialties like cardiology, radiology, and neurology.
  
  

“Clinicians can simply log in, click approve, approve, approve, and go about their day,” Lauren said.

Moving from Fear to Trust

AI adoption often starts with hesitation. Some people expect AI to do everything and eliminate human input. Others worry it will make mistakes or create risk. Lauren has seen both sides.

“I’ve literally heard, ‘I do not want a robot coding my charges,’” she said with a smile.

Her answer is transparency and control. Genesis is designed to keep clinicians in the driver’s seat. The platform shows exactly how it determined a code using CMS’s MDM scorecard, and providers can always review or edit before approving.

Clinicians can also decide how involved they want to be. Some prefer to manually approve every code. Others are comfortable enough to let Genesis send charges directly to billing through pass-through mode, which requires no manual review once the provider is confident in the results.

“We can turn AI on or off per provider profile,” Lauren explained. “So if one clinician is excited about automation and another prefers to review manually, both can work the way they want.”

This flexibility helps build trust while maintaining full visibility into every coding decision.

How It Works Behind the Scenes

For all its sophistication, Genesis operates on a simple foundation. Lauren broke down the process into two data feeds:

1. ADT Feed (Admit, Discharge, Transfer): Provides demographics and insurance details.
   
   
2. MDM Feed (Medical Decision Making): Supplies the clinical documentation used to identify the correct CPT and diagnosis codes.
   
   

Once a note is signed in the EMR, Genesis receives it in real time, analyzes the text, and assigns the appropriate codes within seconds.

“Clinicians will see the encounter populate to their active list, and they will also see the CPT and diagnosis codes automatically added to it,” Lauren said.

For facilities without traditional HL7 connections, MediMobile also offers a PDF and file upload option. Even small or rural hospitals without robust IT resources can use the system by securely uploading notes that Genesis can read and code automatically.

A System That Teaches Itself

AI should not feel static. It should grow smarter the longer you use it. Genesis begins learning from documentation as soon as a facility’s feed is connected.

“We typically say 90 days to learn documentation,” Lauren explained. “Sometimes it is much faster, but we tell all our customers 90 days, and Genesis starts learning from day one.”

During that learning period, clinicians can still use MediMobile as they normally would. The AI continuously compares its own coding results with those from billers and coders, adjusting its logic based on verified data. Over time, it refines accuracy, captures specialty-specific nuances, and recognizes unique provider patterns.

When new coding guidelines are released, Genesis automatically updates its logic by date of service, ensuring every encounter aligns with the correct year’s rules.

“The day those codes are retired, we no longer allow them to be entered,” Lauren said.

Real-World Results

The proof is in the outcomes. MediMobile’s clients have reported measurable and immediate improvements after implementing Genesis.

Results include:

• 95 percent coding accuracy across multiple specialties.
  
  
• $3 million revenue increase in a single month for one Texas hospital group.
  
  
• Faster reimbursements thanks to fewer denials and more complete documentation.
  
  
• Shorter training and onboarding cycles, with most users comfortable after a 30-minute session.
  
  

“We see a huge time savings and an increase in revenue that couples with a decrease in denials,” Lauren said.

This combination of accuracy, speed, and reliability allows healthcare organizations to gain both efficiency and peace of mind.

Simple Implementation, Strong Support

Getting started with AI should not require a full IT overhaul. MediMobile and UnisLink have worked together to make onboarding seamless.

Implementation steps:

• Average setup time is 30 days.
  
  
• MediMobile’s integration team manages data feeds directly with your facility.
  
  
• Training sessions are short, virtual, and led by real people.
  
  
• 24/7 support is always available by phone or email.
  
  

UnisLink’s operational expertise and MediMobile’s technology combine to deliver a fully managed process from start to finish.

“It can be a one-clinician group or an enterprise hospital system with thousands of providers. We like to treat everyone as an important customer,” Lauren said.

The Human Side of AI

While the focus of this webinar was technology, what stood out most was the human element behind it. MediMobile’s team is made up of people who have spent decades improving how clinicians and coders work. Genesis is not about replacing staff or cutting corners. It is about making healthcare more sustainable.

“We are constantly evolving based on what we see clinicians need, as well as what billers, coders, and executives within organizations need,” Lauren said. “We just celebrated our two-year anniversary of Genesis, and our very first customer is still going strong.”

That dedication to long-term partnerships and practical innovation is what sets MediMobile apart.

The Takeaway

AI in revenue cycle management does not need to feel complicated or risky. With the right technology and the right people behind it, it can be simple, transparent, and deeply effective.

Genesis by MediMobile, in partnership with UnisLink, proves that automation can work for everyone—providers, coders, and executives alike.

Here is what you gain:

• Time back in your day
  
  
• Greater accuracy and fewer denials
  
  
• Faster reimbursements and stronger revenue
  
  
• A team that supports you every step of the way
  
  

As Lauren put it best, “Go ahead and click approve, approve, approve, and go about your day.”

Ready to book a demo or learn more? Head over to our website www.MediMobile.com or book a demo on our calendar below!