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

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 .