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Man in the Middle
The U.S. healthcare system is complicated enough without surprise bills showing up after the patient has already fought through an illness.

Skating To Where The AI Puck Is Going
Healthcare revenue cycle management (RCM) is uniquely positioned to benefit from AI—but only if you’re willing to adapt. Here’s how to ride the tidal wave.

NLP in Medical Record Review
The traditional medical record review process has long been plagued by challenges - how can these be solved by NLP?

Looking Back: A 2023 Retrospective of Denial Industry Trends
Why did denied claims increase in 2023?

Introducing: A Superior Client Experience
Advent Health Partners is excited to unveil the latest release of CAVO®— featuring new, powerful features to enhance the CAVO experience.

Saving Time and Reducing Cost with cNLP
The review of medical records is critical in determining whether claims are billed and reimbursed accurately, and DRGs are the primary methodology for both hospital billing and health plan reimbursement.

Artificial Intelligence in DRG Review: Streamlining Reviews and Enhancing Efficiency
Artificial Intelligence has made significant advancements to payment integrity and the DRG reviews process.

AI Technology for Itemized Bill Review Optimization
A multi-state health plan engaged Advent Health Partners to increase their volume of itemized bill reviews, and by leveraging Advent’s medical review technology.

Pre-bill Review Advantages for your Denial Management System
According to Fierce Healthcare, hospital denial rates were climbing prior to the COVID-19 pandemic, but they reached new heights as hospitals had to counter the new public health emergency.

Understanding the Cost of Nurse Turnover
Hospitals and their nurses are still feeling the shockwave effects from the height of the COVID pandemic, specifically the increased nurse turnover rate.

4 Simple Ways SMBs Can Combat Vulnerabilities
It’s scary out there, tenfold for SMBs. The internet is full of bad actors that would like nothing more than access to your personal data for all kinds of nefarious reasons.
