How Are Payment Integrity Companies Improving Claims Accuracy With New Technology?

Payment integrity is becoming more important as healthcare payers deal with rising claim complexity, increasing administrative pressure, and the need to identify improper payments earlier. Companies providing payment integrity solutions are responding by improving claims analytics, automation, artificial intelligence, and pre-payment review capabilities.

I also see an interesting connection between this trend and the broader growth of digital security and healthcare technology. Precedence Research estimates that the U.S. payment integrity industry was valued at USD 1.58 billion in 2025 and is projected to reach around USD 14.12 billion by 2034, expanding at a CAGR of 27.50% from 2025 to 2034. The research points to artificial intelligence, cloud-based solutions, analytics, and specialized services as important areas supporting this expansion.

Why Payment Integrity Is Becoming More Important

Healthcare claims are becoming more complicated, making it harder for payers to identify billing errors, inappropriate payments, coding problems, and potential fraud using traditional processes alone.

Payment integrity solutions help payers review claims before or after payment and identify areas where payments may not be accurate. According to Precedence Research, the U.S. sector is being supported by the need to reduce fraud, waste, and abuse while improving claims accuracy and operational efficiency.

The shift toward earlier intervention is particularly important. Instead of waiting until an incorrect payment has already been made, technology providers are increasingly developing tools that can identify potential issues before payment.

Important Points

  • Zelis, Optum, and Cotiviti are strengthening payment integrity through analytics, automation, AI, and earlier claims intervention.
  • Zelis recently launched its Intelligent Pricing Platform and introduced targeted claims edits.
  • Optum is expanding real-time and pre-payment capabilities to identify errors earlier.
  • Cotiviti is applying AI and machine learning across payment accuracy and claims review processes.

Artificial Intelligence Is Changing Claims Review

Artificial intelligence is becoming one of the most important technology areas within payment integrity. Large volumes of claims data can make manual review difficult, particularly when payers need to identify patterns across different services and billing situations.

AI and machine learning can help prioritize claims that require closer attention. Precedence Research also identifies AI as an important factor in the U.S. payment integrity sector because it can support fraud detection, evidence gathering, pattern identification, and the processing of large volumes of information.

However, technology alone does not solve every payment problem. Clinical knowledge, coding expertise, policy interpretation, and appropriate human review remain important when determining whether a claim requires intervention.

The Shift From Recovery to Prevention

One of the clearest changes I see is the movement from recovering incorrect payments after they occur toward preventing errors earlier in the process.

Zelis has emphasized pre-payment review, while Optum is developing real-time and pre-submission capabilities. Cotiviti is similarly working across both prospective and retrospective stages of the claims lifecycle.

This approach matters because recovering an incorrect payment can create additional administrative work for both payers and providers. Preventing the error before payment can potentially make the entire process more efficient.

How Digital Security Connects With Healthcare Payments

Another related area worth watching is multi-factor authentication. Precedence Research estimates that the global multi-factor authentication industry was valued at USD 16.85 billion in 2024 and is projected to reach USD 83.72 billion by 2034, growing at a CAGR of 17.39% from 2025 to 2034. The research identifies rising cyber threats, regulatory requirements, and growing adoption of biometric and AI-integrated security solutions as important factors behind this growth.

Although authentication and payment integrity address different problems, both reflect the growing role of technology in protecting healthcare information and financial processes. As healthcare organizations rely more heavily on connected digital systems, security and payment accuracy are becoming increasingly important parts of the broader healthcare technology environment.

 

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