AI is valuable for healthcare operations, so it needs to be applied thoughtfully and with humans in the loop. Here's why experience matters more than algorithms, and how to apply both meaningfully.
Responsible AI in healthcare depends on governance, not just models. Learn how healthcare leaders can scale AI with transparency, control, and trust.
Healthcare leaders struggle to adopt new technology when disruption is treated as inevitable. Learn how to modernize operations without sacrificing performance.
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.
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.
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.
The most “significant and consequential cyberattack in American history” began when Change Healthcare responded to a cyber threat.