Four Pioneers Prove the AI Operating System is the Future of Home-based Care

How Solace Hospice, Impact Healthcare, Care Central VNA and Hospice, and Reliant at Home believe in a future where technology empowers rather than burdens clinical teams.

For decades, home-based care has run on software built for a different era. EMRs digitized paper, but they didn't redesign the work. What's breaking today isn't a feature set. It's the foundation.

Agencies have adapted by layering on tools: intake systems, voice documentation, QA platforms, RCM software. But you can't fix a foundation problem with more layers. You just get more complexity and more failure points. No matter how many tools you stack on top, the cracks keep appearing.

That reality is changing.

Four agencies across the country are seeking to become what we're calling "AI-Native Agencies" – organizations that run on AI Operating Systems instead of traditional EMRs. They're proving that the question isn't "How do we make our EMR better?" but rather "Do we need an EMR at all?"

Why Make the Shift

The desire to transition from legacy systems to an AI Operating System is real. These agencies represent different sizes, markets, and operational challenges, but they share common frustrations that an AI Operating System solves.

Reimbursement cuts are deepening. Margins are getting squeezed from every direction while EMRs keep adding cost and complexity.

Compliance requirements are multiplying. Audits are intensifying. Risk exposure is growing. Legacy systems can't keep up with evolving regulations – they require expensive implementation projects just to stay current.

Clinicians spend more time documenting than caring. Three-hour admission visits. After-hours charting. Staff burnout from checkbox documentation that turns care into data entry.

Data is locked in silos. Tools that don't talk to each other. Manual intake processes. Expensive overhead from disconnected systems that require entire back-office teams to coordinate.

Billing is still manual. Denials and rework. Clean claims require human intervention. Revenue cycle management means expensive billers catching errors that shouldn't exist in the first place.

The New Operating Model

These agencies aren't interested in just buying software – they want a true partner to prove a completely new operating model.

The shift from traditional EMRs to AI Operating Systems means:

Automated Intake: The system automatically extracts patient information, builds the chart, verifies eligibility, and initiates the NOE process. No more dual entry or manual processing with potential billing implications.

Real-Time Compliance: Instead of discovering documentation gaps weeks or months later during audits, clinicians get immediate feedback during visits. The system is trained on the Medicare CoPs and LCDs for every MAC, ensuring every chart meets regulatory requirements the first time.

Compressed Documentation Time: What took three and a half hours in legacy systems now is cut by 70%. Clinicians complete entire admission visits, including comprehensive assessments and care planning, in a fraction of the time. This unlocks capacity and transforms productivity benchmarks.

Autonomous Back-Office Work: The AI handles what used to require entire teams, while clinicians still keep full control over clinical decision-making. Automated billing builds and submits clean claims in real time. Eligibility is run automatically, and HOPE compliance is fully managed. Order changes flow from verbal instructions directly into the plan of care and queue up for the physician's signature.

True Vendor Stack Consolidation: Voice documentation, QA automation, intake management, RCM - all integrated into the operating system rather than patched together through fragile vendor integrations or expensive interface fees.

What Makes an Agency "AI-Native"?

An AI-Native Agency doesn't just use AI tools bolted onto existing legacy systems. The entire operation runs on an AI Operating System where:

• Administrative work is absorbed by AI, not handled by expanding back-office teams
• Clinicians focus on patient care and clinical judgment, not documentation compliance
• The system adapts to regulatory changes automatically, not through expensive implementation projects
• Data flows seamlessly without integrations, because everything lives in one operating system
• Leadership gets real-time operational intelligence, not month-end reports

The margin these agencies unlock isn't just financial - though that's significant. It's capacity. Time. Clinical attention that can return to where it belongs: with patients.

These organizations are building operations where technology empowers clinical teams instead of burdening them.

They're building the first AI-Native Agencies.