Translating clinical guidelines into AI-compatible formats requires understanding the guideline's intent and how AI applies rules at scale.
Artificial Intelligence (AI) is often hailed as the savior of healthcare, but can it really handle modern medicine? Here are three big reasons AI might stumble before it soars.
We're building a healthcare intelligence company that delivers unmatched value, transparency, and efficiency to payers across the country.
New executive orders prioritize rapid artificial intelligence (AI) innovation and reduced regulatory insight. How do these changes impact payers?
We need an operating system for AI: a framework that ensures transparency, control, and real impact. What would that look like? Let’s break it down, layer by layer.
Healthcare is now facing its own innovator’s dilemma. Can the healthcare industry adapt or will it continue to cling to fax machines?
Explore how the new Physicians Make Decisions Act (PMDA) is reshaping conversations around liability, ethical boundaries, and the integration of AI into clinical practice.
We first have to reflect on the year behind us. What happened in healthcare in 2024 and how can we take those learnings into 2025?
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.