Domo and Regional One Health Solutions Put AI to Work in Healthcare Operations, Built on AWS

Key Takeaways

• SmartRev uncovered $5 M revenue in three months, cutting vendor reliance
• PxEngine lifts patient experience scores from 30th to 90th percentile
• Solution runs on AWS, leveraging Domo’s AI platform for secure scaling
• Designed for hospitals to community clinics, enabling rapid AI deployment

Pulse Analysis

Healthcare organizations have poured billions into data platforms and AI tools, yet most still wrestle with the "dashboard problem"—insights that never reach the bedside or billing desk. The gap stems from siloed data, complex compliance requirements, and a shortage of tools that translate analytics into concrete actions. As payers tighten reimbursements and patients demand higher quality, providers need solutions that turn raw data into immediate, measurable outcomes rather than static reports.

The Domo‑ROHS partnership addresses this need by delivering a unified, cloud‑native platform on AWS that couples governed data with embedded AI-driven workflows. Applications like SmartRev automatically aggregate claims, denials and payments, flagging missed reimbursement opportunities and triggering corrective actions without manual intervention. In its first rollout, the tool identified over $5 million in revenue that would have otherwise been lost, while also reducing reliance on external vendors. Meanwhile, PxEngine analyzes patient feedback in real time, surfacing unit‑level drivers and integrating action plans directly into nursing workflows, propelling experience scores from the 30th to the 90th percentile. These use cases illustrate how AI can be operationalized, not just experimented with, across finance, operations and clinical care.

For the broader market, this joint solution signals a shift toward AI that is production‑ready and scalable across the entire healthcare ecosystem. By leveraging AWS’s robust security and Domo’s low‑code data product capabilities, hospitals of any size can deploy sophisticated analytics without extensive IT overhead. Competitors will need to match this blend of cloud agility, domain expertise, and workflow integration to stay relevant. As more providers adopt AI‑embedded processes, we can expect faster revenue cycle closures, improved patient satisfaction, and a new baseline for operational efficiency in the industry.