At this current peak of the AI hype cycle, it’s difficult to find a product that is not marketed as AI. Let’s get into the levels of AI.
It shouldn’t surprise you to read that healthcare costs have been going up and are expected to continue to do so into 2025, burdening all stakeholders.
To understand what payment integrity means, it's important to first explore the payer claims process and the role payment integrity plays.
What is AI best suited for? Hearing examples of when to never use AI in healthcare may not be exactly what you were expecting.
Technical debt—the idea that IT systems are owed updates because teams “borrowed” against long-term quality in service of short-term workability—is on the rise.
To ensure safe, responsible investments in AI, payers need to consider the applications of AI and how to use it safely.
With a lack of standardized criteria for identifying codes, there’s a disconnect between providers and payers, resulting in upcoding errors.
The comprehensive, technology-enabled platform will leverage data and artificial intelligence to reduce healthcare costs for health plan clients.
Evolent, a leader in enabling better health outcomes for complex conditions, will be acquiring our Machinify Auth application.
The most “significant and consequential cyberattack in American history” began when Change Healthcare responded to a cyber threat.
Machinify announced a comprehensive suite of apps designed to address the entire healthcare claims lifecycle, from prior authorization through final payment.
The outdated pay-and-chase model recovers only a fraction of overpayments. See how shifting to pre-payment integrity can transform accuracy, efficiency, and trust in healthcare payments.