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Writer's pictureWill Humphries

The Human Element: Building Trust in Artificial Intelligence

dictionary keyword trust

Picture this: A claims adjuster arrives at work to find a 250-page claim on their desk. Within those pages lie thousands of critical data points, each one essential to ensuring accurate patient care and payment processing.


A single error could lead to claim denials, payment delays, frustrated providers, and, most importantly, delayed support for the injured worker or claimant.


Across the healthcare industry, this challenge repeats thousands of times each day, creating pressure that affects everyone, from patients to providers.


But what if we could rewrite this story? 


ATOM Advantage has leveraged the same Human-in-the-Loop (HITL) model trusted by AI leaders like OpenAI, Anthropic, and X.ai to provide rigorous oversight.


By integrating human expertise directly into AI workflows, we ensure every flagged data point is validated by an industry specialist, making the system continuously smarter while building the trust our industry depends on. 


The Human Touch in a Digital World 

Meet Blair, one of our expert Rangers. She’s reviewing a complex claim that our AI system, Record Ranger, has flagged for further attention. Our Rangers team comprises healthcare and insurance experts who work alongside AI, identifying complex patterns and refining insights.


Record Ranger’s confidence score suggested a subtle discrepancy in the medical coding, something complex enough to need a human eye.


Within minutes, Blair spots a nuanced detail that could have led to a denial – insight that comes only from years of specialized experience. 


This isn’t just a quality check; it’s a collaboration between human expertise and artificial intelligence to achieve a remarkable goal: processing claims with 99% accuracy and 90% faster than traditional methods. 


building trust in AI with human expertise

The Challenge of Scale and Accuracy 

In industries like healthcare, insurance, and workers' compensation, massive claim files aren't exceptions – they're becoming the norm. A single claim can exceed 250 pages, and with each page containing dozens of data points, the potential for errors grows with every line.


With thousands of claims to process daily, organizations face the daunting task of balancing speed with accuracy. 


But what if you could have both?


Achieving 99% accuracy while processing claims up to 90% faster than before isn’t just an ambitious goal – it’s a reality when combining AI with expert human oversight. 


Beyond the Binary Choice 

Industries like health and insurance have long faced a tough choice: the depth of manual review or the speed of automation.


As data volumes increase, this choice becomes increasingly challenging:

  • Commit to manual reviews, which ensure accuracy but create massive backlogs 

  • Rely entirely on automation, gaining speed but risking costly errors 


We saw a different path forward. 


The Power of Partnership 

At ATOM Advantage, we recognized that the future didn’t require choosing between human expertise and artificial intelligence – it’s about amplifying their strengths together.


Enter the Rangers, a team of healthcare data experts working hand-in-hand with our AI system, Record Ranger. 


For example, when a complex case came through with thousands of data points, Record Ranger efficiently flagged items for review. Yet, it was Blair who identified the subtle medical code discrepancy, preventing a potential denial.


Her insight wasn’t just about resolving one case; it’s training the AI to avoid similar issues in thousands of future claims. 


Learning from Every Interaction 

When new payer requirements arise or medical codes update, Rangers don’t simply adapt their approach – they help the AI evolve in real time. 


Marisa Jackson, ATOM Advantage
“Health and insurance data isn’t static, so our system can’t be either,” explains Marisa Jackson, our Head Ranger.




Consider a scenario where a major payer updates their documentation standards. Our team of Rangers works with Record Ranger to interpret these new patterns, preventing denials and ensuring smooth, compliant claims processing.


Every interaction strengthens Record Ranger’s accuracy, pushing our baseline accuracy of 98.5% even higher. 


Building Trust Through Transparency 

Behind this powerful partnership is a framework of security and accountability. Every decision made by our AI or a Ranger is tracked and fully auditable.


Our commitment to data security adheres to stringent standards, including SOC2, HIPAA, and GDPR compliance.


Plus, all data is processed onshore, adding an extra layer of confidentiality and trust. 


Looking Ahead 

As industries become more data-driven, the organizations that thrive will be those that effectively combine human insight with AI’s efficiency. Record Ranger exemplifies this future, evolving with every interaction to remain accurate and relevant. 


The next time a complex claim arrives, rather than a daunting pile of paperwork, processors will benefit from pre-processed data with a 99% accuracy rate, flagged items expertly reviewed, and issues resolved before they even arise. 


This is more than technology – it’s a transformation in data handling that respects both the capabilities of AI and the indispensable value of human expertise. 


In Part 2 of this three-part series, Meet the Human in the Loop Experts Championing Accuracy in Artificial Intelligence, we’ll take you behind the scenes to meet the talented team that makes this partnership between human and artificial intelligence possible.

 

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