Health Systems Cut Administrative Wait Times With AI

Standardized automation workflows integrated into EHR platforms have accelerated referral and authorization processes.

Updated on Oct. 5, 2026 in Artificial Intelligence

Isometric editorial illustration showing clean modular data ports connecting to a central server plinth, representing AI-integrated hospital workflows. — Montage Health and Southwest General have increased operational efficiency by deploying AI-based automation to manage patient scheduling and prior authorization processes. AI Illustration. Upload story photo >

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Do you trust automated AI assistants to handle your patient scheduling and medical documentation?

As of September 14, 2026, Montage Health and Southwest General reported significant improvements in operational efficiency after integrating the Notable low-code AI platform into their electronic health record (EHR) systems.

Why it matters

By automating high-volume administrative tasks like patient scheduling and prior authorizations, these health systems have successfully reduced manual bottlenecks that previously strained staff capacity.

Montage Health, using Epic, and Southwest General, using Oracle, achieved these gains via a low-code interface that enables automated systems to pull data directly from EHR environments. Southwest General additionally deployed AI agents Hope and Ava to manage patient interactions, achieving a 96% patient satisfaction rate.

The players

Montage Health

A health system based in Monterey, California, that utilizes the Epic electronic health record system.

Southwest General

A health system in Cleveland, Ohio, that utilizes the Oracle electronic health record system.

Notable

A provider of a low-code AI platform designed to automate administrative healthcare workflows.

The details

The integration utilizes Notable's platform to standardize workflows across disparate EHR architectures. By replacing manual processes—such as the legacy fax indexing system used since 2014—the software allows automated agents to handle data entry and verification without requiring additional staff intervention. This transition from manual inputs to automated, interface-linked logic reduced Southwest General’s patient no-show rate from 11% to 4%.

2014: Staff implemented a specific fax indexing requirement.
September 14, 2026: Health leaders discussed scaling automation at an IT conference.

The Tech Race

This transition marks a departure from the 2014 reliance on legacy fax indexing, replacing slow, paper-based dependencies with real-time digital automation. It highlights a broader industry shift toward integrating low-code AI interfaces directly into established EHR platforms to reclaim administrative time.

Patients at participating systems will likely notice faster turnaround times for medical referrals and authorizations. The automation minimizes manual scheduling errors, directly affecting how quickly individuals can access care without needing to follow up on pending administrative paperwork.

The takeaway

These results demonstrate that automating administrative bottlenecks in health systems can yield quantifiable improvements in patient throughput. Observers should track whether similar low-code integrations continue to expand into clinical decision-support workflows in future deployments.