One Health Direct Expands RunOMNI With AI-Driven Automation

DUNEDIN, Florida—One Health Direct (OHD) provided more information regarding the next evolution of its runOMNI platform, unveiling new automation features designed to streamline all facets of DME (durable medical equipment) operations and reduce the administrative burdens placed on its internal team. 

As an upgraded and rebranded version of the company’s original operational engine, Genesis, runOMNI now incorporates artificial intelligence (AI)-driven functionality that aims to strengthen compliance, improve accuracy and allow human teams to focus their efforts where critical thinking is most valuable.

“RunOMNI isn’t about replacing people, it’s about elevating them and maximizing their critical thinking capabilities,” said Alois Rubenbauer, founder and CEO of One Health Direct. “We’ve designed the system to handle repetitive, error-prone tasks so our teams, and our partners’ teams, can focus on what matters most: helping patients and providers succeed in achieving better outcomes.”

The system uses automation and AI to help eliminate common DME operational bottlenecks, streamline communication and improve overall process consistency. These tools look to reduce delays, enhance accuracy and support better oversight without requiring constant manual intervention. OHD said the result is a more efficient and scalable workflow that enables faster execution, fewer errors and stronger compliance from intake through fulfillment.

At its core, OHD said runOMNI reflects a deliberate balance between automation and human oversight. While the system automates high-volume, rules-based processes, its dashboards and smart prompts give team members visibility into what needs to happen next, allowing for faster execution, less rework and more informed decision-making. 

“We want our teams to spend less time performing redundant tasks and more time utilizing their training to solve problems,” said Matthew Landon, CTO of One Health Direct. “That’s how we deliver better outcomes at scale.”