Using AI to Support Rural Hospitals: Data-Driven Lessons from the Field

Published on
June 24, 2025

Rural hospitals are a lifeline for nearly 60 million Americans. Yet they face deep structural challenges: more than 600 rural hospitals are at risk of closure, and over 30% operate at a financial loss (Center for Healthcare Quality & Payment Reform, 2023). 

Nearly all rural hospitals report difficulty hiring and retaining staff: 98% have trouble recruiting nurses, and 90% struggle to recruit physicians (NRHA, 2024). Provider burnout is widespread—exacerbated by documentation requirements that often stretch late into the night. 

Financially, the situation is just as strained. 40% of rural hospitals operate with negative margins (Chartis, 2025), and delays in billing or under-coded encounters can significantly impact revenue. These institutions must find ways to do more with less, without compromising care.

Artificial intelligence is becoming a practical support tool for these hospitals—not by introducing more complexity, but by reducing administrative burden, supporting clinical decisions, and helping providers reclaim time.

Where AI Is Making a Measurable Difference

Rural providers are turning to AI to relieve pressure in four core areas:

Documentation

AI tools like Avo’s real-time scribing and note generation dramatically reduce after-hours documentation. Some of Avo’s customers have seen an 87% reduction in time spent per chart review —translating directly into better work-life balance and patient presence.

Clinical Decision Support

Without regular access to specialists, rural clinicians often manage complex cases independently. AI recommendation tools like Avo’s platform help by surfacing key diagnoses, summarizing medical history, and recommending evidence-based next steps. This improves consistency of care and reduces variability in decision-making.

Care Planning and Discharges

AI assists with surfacing care transitions and discharge readiness. Avo has helped ensure admission and discharge notes are complete, actionable, and billable—reducing errors and helping care teams move patients efficiently through the system.

Billing and Coding

Real-time coding suggestions built into the documentation process increase accuracy and speed. Hospitals using Avo have seen a 12% reduction in charge lag, getting claims out and in the door faster and more accurately. 

Lessons from Rural Implementations

Hospitals like Cascade Medical (WA), and Ohio County Healthcare (KY), and Moab Regional Hospital (UT) are successfully leveraging AI with a few common success factors:

  • Integration into workflows and the EHR that doesn’t demand major infrastructure investment. One customer saw a 1115% growth in usage in a 6-month go-live period.

  • Minimal IT lift—critical for resource-constrained IT departments.

  • Flexible and transparent pricing to accommodate the financial realities of rural health systems.
A Sustainable Path Forward

AI won’t solve all rural healthcare challenges—but when implemented thoughtfully, it offers real, practical support. By improving documentation, assisting decision-making, and strengthening billing accuracy, AI helps rural hospitals reclaim time, revenue, and clinical focus.

At Avo, we’re committed to building tools that are flexible, affordable, and centered on the provider experience. We believe rural hospitals shouldn’t have to choose between innovation and sustainability—they deserve both.

Let’s build a future where every hospital, regardless of zip code, has access to the tools it needs to thrive.