Sentinel Med AI identifies early physiologic deterioration in hospitalized patients—hours before it becomes clinically obvious—using transparent, clinician-readable intelligence designed to support earlier awareness, safer escalation, and better outcomes.
Early Deterioration Detection
The same clinical intelligence used in the retrospective pilot can be deployed in near–real time to surface early signs of cardiopulmonary deterioration. Sentinel Med AI continuously evaluates physiologic trends to provide actionable alerts, risk severity, and projected time-to-deterioration—supporting earlier intervention and escalation decisions without disrupting existing workflows.
How Sentinel Works
Sentinel Med AI analyzes patterns in routinely collected vital sign data to identify early physiologic instability before deterioration becomes clinically obvious. The system evaluates multiple indicators simultaneously, translating subtle changes into clear, clinician-readable alerts that include risk level, severity classification, and estimated time-to-deterioration. Outputs are designed to support earlier awareness and safer escalation decisions—without replacing clinical judgment, disrupting workflows, or introducing black-box scoring.
Retrospective Pilot
Sentinel Med AI begins with a retrospective pilot using your hospital’s historical vital sign data to identify missed or delayed physiologic deterioration. This zero-risk analysis provides measurable insight into lead time, escalation gaps, and patient populations most likely to benefit—before any live integration occurs.
Designed for Clinical Teams
Sentinel Med AI is built to support clinical decision-making, not disrupt it. Outputs are presented in clear, human-readable language that aligns with how clinicians already assess patient risk—highlighting what is changing, why it matters, and how urgent the situation may be. The system avoids opaque scores and instead emphasizes transparency, contextual insight, and clinical relevance, enabling care teams to act earlier with confidence while preserving professional judgment and existing workflows.
Why Sentinel
Clinical deterioration is rarely sudden—it is often missed. Sentinel Med AI exists to close that gap. By identifying subtle physiologic instability earlier, Sentinel helps hospitals reduce delayed escalation, support safer decision-making, and uncover preventable risk that traditional monitoring and workflows overlook. Unlike black-box systems, Sentinel prioritizes transparency, clinical relevance, and trust—delivering insight teams can understand, evaluate, and act on. The result is earlier awareness, more informed escalation, and a clearer path toward improving patient safety and outcomes.
Contact
Contact Sentinel Med AI
Interested in learning how Sentinel Med AI can help your organization identify early physiologic deterioration and uncover preventable risk?
We begin with a retrospective pilot using your existing vital sign data—no live integration required. This allows clinical and operational leaders to evaluate value, insight, and potential impact before any real-time deployment.
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