Learn what clinical documentation improvement is, why it matters, and how to build a successful CDI program to boost RCM, coding accuracy, and revenue.

A comprehensive healthcare revenue cycle management guide to reduce denials, increase collections, and optimize every stage of the revenue cycle.

Learn what modifiers in medical billing are (including modifier 25, 59, 26, 76), why they matter for reimbursement, and how AI can simplify modifier management in RCM.

Learn how healthcare underpayments occur, what causes underpaid insurance claims, and how AI-driven automation can detect and recover revenue in medical billing.

Learn the differences between upcoding and downcoding in medical billing. Understand financial impacts, legal risks, and how AI ensures coding accuracy.

Discover what MIPS Healthcare is, why it impacts your Medicare reimbursements, and how to implement it effectively to avoid penalties and maximize performance.

Discover how medical billing for orthopedic practices works, the key challenges involved, and strategies RCM teams can use to reduce denials and boost revenue.

Discover what value-based care in healthcare means, how it compares to fee-for-service, and what it takes to make the transition.

Discover how AI governance helps healthcare organizations reduce risks like bias, errors, and data breaches while improving trust and compliance

Discover the step-by-step process for appealing denied insurance claims and understand when a corrected claim is better than an appeal.

Understand why medical claims are denied by payers, learn the common claim denial codes, and discover how payers communicate these reasons.

Wondering which AI RCM billing and coding solution is the right fit for your healthcare organization? Check out this guide to understand the questions you should ask to evaluate a vendor before making the final decision.

Understand why claim denials happen in healthcare and what to make of the denial codes communicated by payers. Also, explore how AI-powered denial management can help get faster reimbursements and avoid denials altogether.

FQHCs often lose revenue to hidden gaps in billing and documentation. This post reveals five silent revenue killers in FQHC billing and how AI can help fix them fast.

Understand the OBBBA’s impact on FQHCs—Medicaid cuts, work requirements, and coverage loss. Adapt by strengthening outreach, improving billing systems, partnering locally, and embracing tech to reduce admin and financial strain.

Curious about where medical coding and billing salaries are headed in 2025? This post breaks down average pay, top-paying states, growth trends, and what’s impacting compensation.

Can't make up your mind on which CDI software to invest in? Check out our comprehensive guide to understand the features to look for and the KPIs to track to find the perfect match for your CDI efforts.

Medical coding is what keeps clinics running and revenue flowing. Discover how AI tools like Amy are reshaping coding, cutting denials, and helping teams focus on care, not claims.

Independent interpretation is the key to accurate coding and stronger MDM. This blog explains what it is, why it matters, and how getting it right can protect your revenue and clean up your CDI.

Think one missing detail won’t hurt your claim? This blog reveals how small documentation gaps can lead to costly claim denials and how AI-powered clinical documentation improvement software can help flag them.

Medical coding salaries in 2025 are driven by demand for skilled professionals and evolving payer regulations. This guide breaks down current benchmarks, factors affecting pay, and how coders can future-proof their careers.

Not sure which medical codes are relevant for pediatric care and how they're different from general coding guidelines? Explore the nuances of pediatric coding in this blog post and get the reference list of codes to be used in different pediatric settings.

Learn how emergency room medical coding works, why accuracy is critical for care and reimbursement, and how AI supports overburdened ER teams.