How One Health System Plans to Save $5 Million Annually With AI-Powered Case Management
Sentara Health's new natural language tool promises to reclaim 90,000 staff hours per year by automating chart review workflows across its 12-hospital system.

Sentara Health has launched an artificial intelligence-powered case management platform that could fundamentally reshape how healthcare organizations approach operational efficiency. Developed in partnership with clinical decision support company Regard, the tool enables case managers to query patient charts using everyday language and rapidly extract critical clinical information—a capability the Virginia-based health system projects will save nearly 90,000 hours annually and deliver approximately $5 million in labor cost savings.
The deployment, announced October 22, represents a strategic expansion of AI applications beyond clinical diagnostics into the operational workflows that consume substantial staff time across hospital systems. For Sentara, which operates 12 hospitals and more than 400 care sites across Virginia and Northeast North Carolina, the efficiency gains are equivalent to adding more than 40 full-time employees without increasing headcount.
From Chart Review to Strategic Care Coordination
The core innovation lies in automating what has traditionally been one of healthcare's most time-intensive tasks: synthesizing patient information scattered across electronic health records. Sentara's case managers can now use natural language queries to surface relevant clinical insights, track 24-hour patient status changes, and automatically generate comprehensive patient histories.
According to Dr. Rollin Reeder, Sentara's Chief Health Information Officer, this automation allows case managers to redirect their focus from data gathering to higher-value activities like discharge planning and care coordination. The tool leverages Regard's established clinical AI platform, which the company reports has surfaced more than 20 million diagnoses accepted by physicians with supporting clinical evidence.
Scaling Beyond Acute Care
Sentara plans to expand the tool from its initial acute care deployment into ambulatory settings across its health system. This phased rollout reflects a broader strategy to embed AI-driven efficiency gains throughout the care continuum rather than confining them to hospital-based workflows.
The deployment comes as Sentara pursues multiple AI initiatives simultaneously. In mid-September, the health system announced it was piloting GW RhythmX's AI precision care platform, signaling an enterprise-wide commitment to exploring artificial intelligence applications across clinical and operational domains.
The Business Case for Operational AI
For health systems evaluating AI investments, Sentara's projected return on investment provides a concrete benchmark. The nearly $5 million in anticipated labor cost savings demonstrates how AI can address healthcare's persistent workforce challenges not only through clinical decision support but by eliminating administrative friction that prevents clinicians and care coordinators from working at the top of their licenses.
Eli Ben-Joseph, CEO and co-founder of Regard, positioned the collaboration as evidence that clinical AI platforms can successfully extend into adjacent operational use cases. Regard's track record in diagnostic support appears to have provided the clinical credibility necessary to expand into workflow automation—a growth strategy other health tech companies may seek to replicate.
As healthcare organizations face ongoing pressure to improve margins while maintaining care quality, Sentara's deployment illustrates how AI-powered operational tools may offer a path to sustainable efficiency gains that compound across enterprise-wide workflows.
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