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...

Spotlight Interview with Amit Yaccobi

Nym's Linguistic team is where the magic happens, ensuring the Nym engine is able to understand how each medical chart describes the physician's experience and the patien...

Spotlight Interview with Dr. Yarden Ariely, MD

The Medical team at Nym form the core of what sets Nym apart, ensuring that every chart coded by the Nym engine reflects the physician's experience during the patient enc...

Spotlight Interview with Nym's CMIO, Dr. Sagi Horev, MD

2020 was a banner year for Nym, which included signing new clients, such as Geisinger, as well as securing a $16.5 million round of funding from GV (formerly Google Ventures). We took a moment to s...

How Nym Health is Able to Provide a HIPAA Compliant Solution Using AWS

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AI for your 2021 Budget - Reducing Medical Coding Costs with Autonomou...

Costs of Manual Coding A healthy revenue cycle is critical to the overall success of an organizat...

Globes Newspaper Interview with Nym CEO, Amihai Neiderman

"Doctors write our rules. This leads to very high accuracy." Machine learning and deep learning are common buzzwords today. Nym bucked the common fashi...

Reducing Medical Coding Complexity with Nym Health

GV's Ben Robbins interviews Nym's CEO, Amihai Neiderman.

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...

Webinar - Improving Coding Accuracy with Autonomous Coding

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