Anti-Sepsis AI
Designed for Saudi hospital workflows & national-scale sepsis improvement

Designed by Dr. Ahmed Almalaq

Anti-Sepsis AI

AI-powered sepsis response platform for hospitals

Identify sepsis risk signals earlier, support timely clinical review, and surface preventable delays so every critical action is accountable.

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For Clinical TeamsFor Quality & IPCFor Business & Leadership

Anti-Sepsis AI connects early recognition, sepsis bundle tracking, antimicrobial stewardship, source control, escalation, and quality analytics into one closed-loop response system.

For Clinical Teams

Prioritize high-risk patients, identify missing actions, and coordinate urgent response.

For Quality & IPC

Track bundle compliance, HAI-related sepsis, MDRO signals, delays, and case reviews.

For Business & Leadership

Measure outcomes, bottlenecks, ROI, implementation readiness, and hospital performance.

How it works

  1. 01Detect
  2. 02Prioritize
  3. 03Respond
  4. 04Escalate
  5. 05Learn

Competitive Edge

What sets Anti-Sepsis AI apart from legacy systems?

Three pillars that legacy sepsis platforms like Epic Sepsis Model and Bayesian Health don't deliver — built for clinical safety, accountability, and national-scale intelligence.

Guardian Mode

AI-on-AI supervision layer

An independent second model audits every clinical recommendation in real time and blocks unsafe outputs before they reach the clinician.

Outcome Ledger

Transparent, auditable ledger

Every recommendation, decision, and approval is timestamped with a full causal trail — ready for accountability and accreditation.

Federated Cross-Hospital Learning

National learning without patient data transfer

Models improve from every hospital in the Kingdom while patient data stays behind hospital walls — full privacy, collective intelligence.

CapabilityAnti-Sepsis AILegacy systems
  • Independent supervision layer over AI outputs
  • Full transparency & auditable ledger per decision
  • Federated cross-hospital learning without data transfer
  • Explainability for every recommendation~
  • FHIR/HL7 integration with hour-1 bundle workflow~
  • National governance layer & live hotspots map
  • In-EMR clinical decision support
  • Early sepsis alerts

Benchmark reference: Epic Sepsis Model, Bayesian Health TREWS, Dascena InSight — based on public documentation and published literature.

Clinical decision support only. Final decisions remain with qualified healthcare professionals.

Make sepsis response faster, safer, and measurable.

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