AI—as it stands today—excels only at certain tasks, like understanding large swaths of data and making judgements based on well-defined rules.
Understanding the root causes of provider abrasion is crucial for improving relationships between providers and health plans.
As we approach the end of 2024, we not only have to reflect on the year behind us, but look forward to the year ahead and what it could hold for the healthcare industry.
With enterprise technology evolving more rapidly than ever before, and the advent of AI and other new tools, it has been a struggle for organizations to keep up.
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.