Ochsner Health Adopted AI to Offset 30% Volume Growth
Louisiana healthcare operators can mitigate staffing pressures by deploying automated revenue cycle tools.
Updated on Sept. 26, 2026 in Healthcare
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Over the past five years, Ochsner Health integrated AI and automation to manage a 30% surge in patient volume across its 46 hospitals and 370 clinics. The system implemented these tools to address operational inefficiencies and care delays caused by the rapid expansion.
Why it matters
Scaling medical services often triggers administrative bottlenecks that impact physician productivity and patient intake. This strategy allows operators to maintain high throughput despite significant volume increases by automating labor-intensive compliance and billing tasks.
The system saved approximately 20 full-time equivalent positions through automation, while 98% of patient estimates are now generated automatically. These tools support a network currently operating 46 hospitals and more than 370 outpatient facilities.
The players
Ochsner Health
A major non-profit health system headquartered in New Orleans that operates 46 hospitals and over 370 outpatient and urgent care facilities.
Epic
A primary provider of integrated electronic health record software and revenue cycle management infrastructure for large-scale healthcare networks.
The details
Ochsner uses Epic platform capabilities to map 50% of referrals to automated checks that identify when prior authorization is unnecessary. Furthermore, 70% of the commercial payer mix is connected directly to these digital systems. The organization is currently testing an AI Med Necessity Assistant with 30 employees to streamline the review of medical necessity requests.
Timeline
The health system experienced its 30% volume growth over the past 5 years.
Ochsner is currently beta testing the AI Med Necessity Assistant.
Market Landscape
Healthcare providers are increasingly embedding AI into clinical administrative workflows to reduce manual overhead. This shift follows the broader industry adoption of Epic's payer platform to normalize electronic data exchange between providers and commercial insurers.
Operators facing high patient volume should assess whether their current revenue cycle software can map automated authorization checks for high-frequency referrals. Automating 62% of patient estimates, as Ochsner has, can significantly reduce the manual administrative burden on staff.
The takeaway
Operational success in high-growth environments often depends on shifting from manual administrative workflows to AI-enabled verification. Managers should audit their referral and estimation processes to identify manual tasks ripe for automation, particularly those involving common commercial payer platforms.
Further reading
For broader insights on operational technology, see our section on Healthcare.
Source note: This article includes information reported by Becker's Hospital Review | Healthcare News & Analysis.
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