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Increase scalability and interoperability with AI
Before implementing any new technology into everyday healthcare operations, scalability and interoperability are arguably two of the most important as...
Combat employee burnout and staffing shortages with AI automated medical coding
Burnout levels are reaching all-time highs for medical professionals; even the Surgeon General’s Advisory highlighted the urgent need to address the h...
Fast and easy implementation of AI medical coding: How we do it
When talking with potential clients, we often see negative preconceived notions surrounding the implementation process for AI medical coding, usually ...
Artificial intelligence vs. robotic process automation
Let’s face it: Healthcare is, in many ways, still an old-fashioned industry. Many patient charts are still housed on paper and stored in manila folder...
Six ways AI can maximize your revenue cycle
With the advent of artificial intelligence technology and its application in solving some of the most complex challenges of companies and industries a...
3 machine learning applications in healthcare
Thanks to advances in machine learning and the emergence of cloud computing, computer algorithms today are using human-like intelligence to perform hi...
The difference between medical coding automation and computer assisted coding
We are often asked, “What is the difference between Medical Coding Automation (MCA) and the Computer-Assisted Coding (CAC) systems that we currently u...
When care becomes code
Reasonable people might wonder why medical coding is any more complicated than checking a box or two. Suppose, though, that you had to code installati...
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