Artificial Intelligence (AI) and Natural Intelligence (NI) are two different types of cognitive processes and both are paramount within healthcare business operations. As the utilization of AI becomes more accessible, many medical billing and administrative teams are left questioning their jobs’ longevity. The truth of the matter is artificial intelligence-fueled billing systems rely on, and perform best, with human interaction/intelligence, or Natural Intelligence. As this “tribal knowledge” is decreasing from retirements and labor shortages, it’s more important than ever to leverage both cognitive processes to achieve optimal revenue cycle management (RCM) operations. In this blog, learn about the differences between AI and Natural Intelligence, and why they’re each a key component in your overall business ecosystem. 

“Artificial intelligence (AI) and related technologies are increasingly prevalent in business and society, and are beginning to be applied to healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer and pharmaceutical organizations,” states The potential for artificial intelligence in healthcare via Future Healthcare Journal

To understand the difference between the two, it is first important to define what each type of intelligence is. Artificial Intelligence is defined as a computerized system that processes data and makes decisions based on its programming. This programmed system uses algorithms and machine learning to process data faster than any human being could. On the other hand, Natural Intelligence refers to the cognitive skills innately found in humans, such as problem-solving, pattern recognition, decision-making, etc. 

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ImagineSoftware’s data science guru Rob Gontarek talks about how AI delivers unprecedented backend automation and streamlined workflows, driving employees’ time to focus on problem-solving and business decisions.

The key difference between AI and Natural Intelligence lies in the fact that AI is automated by machines while NI reflects how humans think, reason, perceive and solve problems. Although AI and NI are different, they can work together to create efficient healthcare business operations. By combining the two forms of intelligence, healthcare businesses can benefit from increased productivity and improved patient satisfaction in their operations. 

AI technology has been applied to the medical billing process to automate revenue cycle solutions for faster processing time and fewer errors when it comes to bills being sent to patients. This helps reduce costs associated with manual labor while ensuring accuracy in both billing and payments. Automated medical billing systems also help streamline processes by automating administrative tasks such as managing claims, generating reports, verifying insurance information, etc., which ultimately leads to better customer service and shorter payment cycles. 

Learn more about ImagineSoftware’s AI-driven, all-in-one billing platform, ImagineOne

In conclusion, Artificial Intelligence and Natural Intelligence should be used together to create efficient healthcare business operations. AI technology provides automated revenue cycle solutions that reduce costs associated with manual labor while ensuring accuracy in payments. Automated medical billing systems streamline processes by automating administrative tasks such as claims management, generating reports, etc., which ultimately result in shorter payment cycles and better customer service. By combining Artificial Intelligence and Natural Intelligence, healthcare businesses are able to benefit from a more efficient system and improve patient satisfaction. In the end, the combination of both forms of intelligence allows for increased productivity and better outcomes for all parties involved. 

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Rob Gomes

For over 15 years, Rob Gomes has been a leader in the fields of Digital Marketing and Competitive Intelligence. As the current Digital Marketing Manager at ImagineSoftware, he has leveraged his expertise in SEO, paid advertising, content marketing, social media management and website analytics to drive online visibility through strategic SEO tactics while also protecting brand identity across multiple platforms. Moreover, his deep understanding of competitive analysis helps him identify market trends and growth opportunities for the company.