Case Study — Healthcare

Enabling Real-Time Clinical Context Across 8 Hospital Systems

A regional health network deployed mantle to unify patient data across EHR, lab, pharmacy, and scheduling systems — giving clinical AI agents complete patient context in milliseconds.

The Challenge

Patient data was spread across 8 separate systems — Epic for EHR, LabCorp integrations, pharmacy management, radiology PACS, and scheduling platforms. Clinicians relied on AI assistants that could only access one system at a time, creating dangerous blind spots.

Duplicate patient records across systems meant AI agents frequently returned incomplete or contradictory information. Nurses spent an average of 22 minutes per shift manually cross-referencing systems to verify AI-generated summaries.

The Solution

mantle connected all 8 clinical systems with HIPAA-compliant zero-copy connectors. The semantic knowledge graph performed real-time patient entity resolution — matching MRNs, names, and demographic data across every source without moving protected health information.

Clinical AI agents now receive unified patient context via a single MCP call, with every data point tagged with its source system and timestamp. Quality scoring ensures agents surface the most relevant and recent clinical information first.

Results

8

Hospital systems unified

89%

Reduction in duplicate queries

99.7%

System uptime

HIPAA

Fully compliant

“For the first time, our AI assistants have the full picture. mantle gave us unified patient context without compromising our compliance posture.”

— CMIO, Regional Health Network