Greenway Health Works With Customers to Implement Agentic AI Features

Why It Matters

By embedding AI at the core of its EHR, Greenway tackles physician burnout and operational inefficiencies, delivering measurable productivity and revenue benefits that could reshape ambulatory health‑tech economics.

Key Takeaways

• Greenway's Novare platform saves 14,000 EHR hours annually per practice
• AI-driven workflow adds capacity for ~6,000 extra visits per year
• Revenue-cycle gains estimated at $1 million per practice
• Ambient AI reduces physician burnout and streamlines documentation
• Built on AWS, Novare embeds agentic AI across all services

Pulse Analysis

The ambulatory EHR market has long struggled with layered, fragmented solutions that force clinicians to juggle multiple interfaces. Greenway Health’s decision to rebuild its platform around agentic AI marks a departure from the incremental add‑on approach that dominates the space. By designing Novare with a foundational AI layer, the company aims to orchestrate clinical documentation, billing and patient engagement as a single, context‑aware workflow, reducing the cognitive load on providers and staff.

Early results from a pilot at a 10‑provider practice illustrate the tangible upside of this strategy. The AI‑enhanced system eliminated roughly 14,000 hours of EHR interaction each year, translating to about five fewer hours per day per clinician. That efficiency freed capacity for an estimated 6,000 additional patient visits and generated up to $1 million in revenue‑cycle improvements. Clinicians reported less burnout, noting that even the most technophobic staff could adopt the ambient listening and summarization features with minimal training.

If Greenway can scale these gains across its 4,000 customers, the ripple effect could be significant for the broader health‑tech ecosystem. Competitors are racing to embed generative AI into their platforms, but Novare’s end‑to‑end design—backed by AWS infrastructure—offers a blueprint for a unified, AI‑first EHR. Success will depend on continued clinician trust, data security compliance, and demonstrable ROI, but the pilot’s outcomes suggest that a fully integrated AI layer could become a new benchmark for efficiency and provider satisfaction in outpatient care.