Cutting Through AI Hype: The 3 Tiers of Medical Coding Automation

The original version of this blog appears on Libman Education’s website

What Healthcare Leaders Need to Know About Autonomous Medical Coding

Healthcare executives navigate an increasingly complex operational landscape where economic pressures, workforce shortages, and evolving payer requirements converge to strain revenue cycle performa...

Comparing Encoders, Computer-Assisted Coding, and Autonomous Coding So...

Encoders Traditional encoders, which were first developed in the early-to-mid 1990s, have long been ...

Healthcare Providers Share Their Experiences with Autonomous Coding

KLAS Research, a leading healthcare IT data and insights company at th...

The Complexity of Clinical Language: A Barrier to Using Technology in ...

We recently had Melisa Tucker, Chief Product Officer at Nym, join Amy Faith Ho, MD, MPH on Becker’s Healthcare Podcast for a discussion on combining cutting-edge technology with deep clinical knowl...

Leveraging AI to Overcome Revenue Cycle Staffing Shortages

Staffing Challenges Reach New Heights for Revenue Cycle Departments Recent months have seen st...

Autonomous Coding vs Computer-assisted Coding: Key Differences

Jump to Sections: Key Differences Between Autonomous Coding and Computer-Assisted Coding

Autonomous Coding vs Computer-assisted Coding: The Evolution of Medica...

The Challenges of Modern Medical Coding Medical coding is an essential step of revenue cycle managem...

Autonomous Coding vs CAC: Why Machine Learning is not enough

The importance of coded data has increased over the years requiring high quality output more now than ever before. Robust compliance plans with monthly quality review schedules are no longer a reco...
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