American Mission Hospital (AMH) is a renowned healthcare institution committed to delivering exceptional medical care to its community. With a legacy of excellence, the hospital focuses on both outpatient and inpatient services, and works continually to improve patient satisfaction and the overall patient experience through innovation and compassionate care.

Before adopting XEBO.ai, American Mission Hospital struggled to capture patient feedback and act on it. Large volumes of open-ended comments arrived, and analyzing them was slow manual work.

The hospital could not easily break insight down to the level of a specific location, department or individual caregiver, so it was difficult to see where experience was strong and where it was slipping. Without a real-time sentiment analysis system, responses to patient concerns were delayed, and inefficient workflows held up the resolution of issues that had already been raised.

Together these limitations affected the hospital's ability to improve patient satisfaction proactively and to optimize operational efficiency. AMH began looking for an automated solution that could interpret patient sentiment instantly, deliver actionable insights in real time, reduce the manual burden of feedback analysis and enable department-level responsiveness for targeted service improvements. That search led the hospital to explore advanced AI-powered customer experience platforms.

American Mission Hospital selected XEBO.ai for its capabilities in transforming raw feedback into strategic insight. The factors behind the decision were AI-driven sentiment analysis at scale, granular feedback mapping across specific locations, departments and caregivers, an integrated ticketing system for tracking and resolving complaints, real-time and visually intuitive dashboard interfaces for review management, and the platform's potential to reduce both analysis time and resolution delays.

Implementation was aligned with the hospital's goals. XEBO.ai set up real-time dashboards to manage and monitor doctor reviews, so feedback about individual clinicians could be seen and handled rather than aggregated away. The sentiment analysis engine was deployed across all feedback channels, giving the hospital a single automated read on what patients were saying wherever they said it.

AMH teams were trained to use the ticketing and analytics systems effectively, which matters because the value of a ticketing workflow depends on staff acting on what it surfaces. Data flows were optimized for continuous, automated delivery of insight rather than periodic reporting.

Within a short time, XEBO.ai had become central to the hospital's patient experience strategy.

• Net Promoter Score increased 31% by directly addressing patient concerns
• Customer resolution time fell 42%, streamlining workflows and improving resource allocation
• Time spent analyzing open-ended feedback dropped 70% through automated sentiment analysis
• Notable cost savings followed from faster resolution and better resource allocation
• Real-time dashboards gave the hospital visibility of doctor reviews as they arrived