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Healthcare & Life Sciences verified Verified Outcome TRL 9

Real-Time Sepsis Prediction (SPOT)

domain Client: A major US hospital operator handshake Provider: Internal Development / Red Hat schedule Deploy: 2022
85 Impact
Enterprise Ready
Evidence Score: A/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

Development of a real-time algorithmic system (SPOT) to detect sepsis signals in EHR data 18 hours earlier than standard screening.

rate_review Analyst Verdict

"Low Risk. One of the most successful examples of provider-led algorithmic innovation. The scale (deployed across 160+ hospitals) validates the robustness of the model."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Sepsis is a leading cause of hospital mortality. Traditional detection relied on manual nurse screening or lagging indicators, meaning interventions often occurred too late to save the patient.

psychology The Solution

Built 'Sepsis Prediction and Optimization of Therapy' (SPOT). The system ingests live data from the EHR, analyzes it against 100,000s of past cases, and alerts clinicians via mobile if sepsis patterns emerge.

settings_suggest Technical & Deployment Specs

Integrations
MEDITECH / Epic
Deployment Model
On-Prem / Private Cloud
Data Classification
PHI / Vitals
Estimated TCO / ROI
High (R&D)
POC Summary ( to )

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Alert Fatigue Medium High specificity tuning

trending_up Impact Trajectory

Audited value realization curve

Detects sepsis ~18 hours before clinical decline Verified Outcome
Primary KPIDeployed to >160 hospitals
Audit CycleSaved estimated 8,000 lives in first years

policy Compliance & Gov

  • Standards: HIPAA
  • Maturity (TRL): 9
  • Evidence Score: A/10
  • Data Class: PHI / Vitals

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A major US hospital operator without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-513
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-513

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