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AI Staffing Support for Skilled Nursing Facilities After the CMS Mandate Repeal
The Centers for Medicare and Medicaid Services has rescinded the federal minimum staffing rule for nursing homes. For many skilled nursing operators, this decision provides long-overdue relief from a mandate that was unworkable in practice, unfunded in execution, and disconnected from the realities of today’s workforce crisis. The requirements of 3.48 hours of nursing care per resident per day and 24-hour onsite RN coverage were not achievable for the majority of facilities.
Ernie Ianace, CEO
7 days ago6 min read


AI-Native Clinical Workflow Orchestration: The End of the EHR Era
The American healthcare system is facing a pivotal architectural crisis. Despite record investment in health technology over the last two decades, the core systems governing clinical operations are failing to deliver the efficiency, safety, and predictive power needed for the era of Artificial Intelligence (AI) and Value-Based Care (VBC). The simple truth is that the dominant electronic health record (EHR) systems—monolithic software built to satisfy billing and regulatory co
Ernie Ianace, CEO
Dec 27 min read


The CY 2027 MA Rule: How CMS's Refocus on Outcomes Creates an Imperative for Clinical AI Orchestration
Executive Summary: The End of Administrative Easy Wins The Centers for Medicare & Medicaid Services (CMS) Contract Year (CY) 2027 Proposed Rule marks a critical inflection point for Medicare Advantage (MA) Organizations. By proposing to remove 12 administrative and process-focused measures from the Star Ratings system and adding a new clinical measure (Depression Screening and Follow-Up), CMS is sending a clear, unequivocal message: The era of earning Star Ratings and Qualit
Ernie Ianace, CEO
Dec 16 min read


Engineering the Agentic AI Fabric: The New Architecture for Clinical High-Reliability
Executive Summary: Bridging the Gap Between GenAI Hype and Enterprise Trust The current C-suite conversation has fixated on the creative capabilities of Generative AI ( GenAI ) writing, coding, and summarization. Yet, for leaders in high-reliability sectors like healthcare, a more critical and measurable challenge remains:Â the failure of GenAI at "run-time." Unpredictable or un-auditable outputs from Large Language Models ( LLMs ) pose an existential risk to clinical workflo
Ernie Ianace, CEO
Nov 235 min read


The Modular Era of Healthcare AI Has Arrived. Here Is What It Means for Leaders Who Need Real Outcomes, Not More Tools
Most AI pilots in healthcare fail for the same reason: they add work instead of removing it. Healthcare and senior living leaders face a critical moment. The market is flooded with AI pilots that promise transformation but end up delivering more dashboards, alerts, and administrative tasks for teams already under intense pressure. Most solutions automate individual tasks, but few actually improve workflow. Even fewer lessen the cognitive burden on clinical staff. This gap bet
Ernie Ianace, CEO
Nov 216 min read


Pharmacy Benefit Managers: How We Got Here, Why It’s Failing Consumers, and How CareAlly Can Help
Prescription drugs touch nearly every American household, yet the process behind what we pay for them is one of the least understood in healthcare. A medication’s price can vary by hundreds of dollars depending on who is paying, which pharmacy you visit, or what insurance plan you have. Sitting in the middle are the pharmacy benefit managers, or PBMs. They were originally created to help patients and payers save money. Over time, though, the system flipped. The very middlemen
Ernie Ianace, CEO
Nov 37 min read
