Across home health, hospice, skilled nursing, and senior living, demand is rising while margins tighten. Labor shortages persist; reimbursement scrutiny is intensifying, and administrative overhead continues to climb. Yet many organizations are trying to grow on top of systems designed decades ago for billing and record-keeping, not for modern, scaled operations.  If growth feels harder than it should, your EMR may be the bottleneck. Here are three clear signs.  How to Identi

Home health demand is surging, but growth is constrained by documentation and administrative burdens rather than by referrals. AI gives agencies a way to scale visits, census, and revenue per clinician without endlessly adding headcount. Why Home Health Agencies Need AI to Scale Growth Constrained by Labor, Not Demand The need for home-based care is expanding much faster than the workforce that supports it. The turnover rate in home health care is 79.2% , and on average, this

Company enters the infrastructure layer of post-acute care following sustained revenue expansion and enterprise adoption DETROIT, Dec. 19, 2025 (GLOBE NEWSWIRE) -- Amesite Inc. (NASDAQ: AMST) today announced the launch of the NurseMagic™ EMR, marking a significant expansion of the Company’s platform following a year of strong sequential revenue growth and enterprise traction. The AI-native, modular EMR extends NurseMagic™ from a point-of-care solution into core post-acute car

Switching from a legacy EMR to an AI-native platform feels scary until you look at the numbers and what is actually possible now. The reality is that staying put is far riskier and more painful than making a move. The real cost of staying on legacy EMRs  Labor is the dominant expense in post-acute care, and workforce headwinds are worsening. The U.S. will need roughly 1.2 million new RNs by 2030 . At the same time, nurses spend about 40% of their shift time documenting care .

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

The AI divide in post-acute care is already visible: agencies that modernize are eliminating 20–40% of administrative cost and reclaiming thousands of clinical hours , while organizations clinging to legacy EMRs are locking in a structurally higher cost base that will be impossible to sustain. For post-acute care leaders, the core strategic question is no longer whether to adopt AI-native workflows, but how quickly you can re-architect operations before AI-first competitors r

Acquisitions in healthcare technology – especially among EMRs – are common. Vendors expand their offerings, fill capability gaps, or accelerate product roadmaps by purchasing tools rather than building them internally. For post-acute care agencies, these acquisitions can significantly influence daily operations, workflows, costs, and long-term technology planning. This article explains, why these acquisitions happen , how they affect providers , and what they mean during a pe