“And I developed this set of tools to relieve clinicians from the burden of data entry at the point of care, hospitals, outpatient clinics, so on,” says John Bright, Founder and Managing Director, of Med Claims Compliance (MCC). “That’s what we do. We call it a technology-enabled service because we’re providing a service with the technology.”

With 80% of medical bills containing errors and costing Americans $210 billion annually, the healthcare industry faces a crisis in documentation, coding, and revenue accuracy, despite huge technological advancements in the industry.

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• Nearly 75% of healthcare professionals say the time or effort needed to complete clinical documentation hampers patient care.
  
• Over 77% of healthcare professionals report working after hours due to excessive documentation demands.
  

That’s why AI-driven solutions, paired with human expertise, are becoming essential for reducing these costly inefficiencies. It’s estimated that AI could solve the healthcare sector’s $500 billion annual administrative problem.

In an industry increasingly reliant on technology, ensuring that AI is guided by human expertise is key. Med Claims Compliance leverages AI and Human-in-the-Loop (HITL) Machine Learning to transform medical claims processing.

“It’s a SAS model. The service is that we can generate correct, compliant medical records at the point of care for a doctor who is using his voice or her voice in an ambient multi-speaker scenario with a patient. And then we can code it correctly according to federal guidelines in the US or the national health system in the UK or Canada. Then, we can compliance check it according to the program integrity compliance guidelines that health payer, government payer, private payer has. And then we can produce it to the end user clinician

and tell them, you know, here’s how you bill your claim correctly. Here’s how you’re in the lanes or outside of them after we’ve told you what the coding is that you should use in your billing forms. And that’s the service we provide. We just use pure technology about 90% to do that successfully and accurately. That’s what we do.”

About Med Claims Compliance:

 One of healthcare’s biggest challenges—inefficient, error-prone clinical documentation and billing processes—is the task that Med Claims Compliance (MCC) has tackled. In an industry increasingly reliant on AI, Med Claims Compliance stands out with its Human-in-the-Loop Machine Learning (HITL-ML) technology, which ensures that AI is guided by human expertise to prevent costly errors. With over a decade of development, MCC has successfully partnered with major institutions, including Medicare and the VA, to streamline healthcare operations, reduce provider burnout, and improve patient care.

By blending innovation with accuracy, MCC helps healthcare providers navigate the complexities of compliance and revenue management, positioning itself as a leader in responsible AI within the healthcare sector. Med Claims Compliance, based in Austin, TX, and founded by John T. Bright, is revolutionizing how healthcare is delivered, processed, and paid.

About John Bright:

 John T. Bright is an accomplished healthcare technology executive with extensive expertise in developing and implementing advanced medical claims processing systems. As the founder and CEO of Med Claims Compliance Corporation (MCC), John has been instrumental in the creation of innovative healthcare technology solutions, including VetPoint™, CliniPoint™, and RemitOne™. His leadership has guided MCC to provide