Artificial intelligence has become the healthcare equivalent of gold dust. Every product claims to have it; few can prove it works, and even fewer withstand the day‑to‑day realities of post‑acute care.  Why does it feel like AI‑vaporware is suddenly everywhere? It’s the classic hype cycle described by Gartner : a rush of dazzling demos and inflated expectations, followed by a sobering realization when pilot programs sputter out. Across healthcare, roughly 80% of AI initiative

Post-acute care is entering an era where the leaders who understand cost structure, efficiency, and operational leverage will set the pace for the entire industry. You already know how thin margins can be and how quickly small inefficiencies add up. That’s precisely why forward-thinking operators like you are paying attention to AI now. The agencies that modernize early aren’t just keeping up; they're ahead of the curve. They’re unlocking a superpower: the ability to run fast

AI-native platforms are overtaking legacy EMRs because they are built for real-time automation, large language models (LLMs), and rapid change, while most incumbent systems are constrained by 10–20 years of technical debt and rigid architectures. This is no longer a theoretical debate about technology. AI platforms are a direct driver of cost structure and competitive positioning over the next 12–24 months.  The Market Is Splitting into Two  Across healthcare, executives are