Clinical Infrastructure for AI

The layer that lets AI safely operate inside healthcare

Salordo is the infrastructure stack that unifies clinical data, sandboxes AI agents, and enforces safety — so hospitals can deploy AI in weeks, not years.

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2wk
AI Deployment Time
40%
Admin Work Reduced
0
Unsafe AI Actions
100%
Audit Coverage
The Problem
Healthcare can't deploy AI.
Here's why.
Three structural barriers prevent every hospital from using AI today.
⊘

Data Fragmentation

Clinical data lives across EHRs, PACS, labs, insurance systems, and devices — none of which communicate properly. This causes incomplete records, manual transfers, and medical errors.

⚠

Unsafe AI Deployment

No monitoring, no auditability, no clinical validation layer, no human override. AI agents today operate entirely outside clinical environments with zero guardrails.

◈

Compliance & Regulatory Risk

Healthcare AI must comply with HIPAA, GDPR, and FDA regulations. Hospitals lack the technical infrastructure to enforce any of this at the AI layer.

The Platform
Three layers. One stack.
Salordo's Clinical Infrastructure Stack gives hospitals everything they need to deploy AI safely.
01

Data Unification Layer Data

A Universal Healthcare Data API that connects to EHRs, imaging, labs, pharmacy, wearables, and insurance — producing a unified longitudinal patient record.

FHIR HL7 DICOM Real-time Streaming Identity Resolution Clinical Data Lake
EHR ──────┐ Labs ──────┤ Imaging ───┤──→ Salordo API ──→ Unified Record Pharmacy ──┤ Devices ───┘
02

AI Agent Runtime Runtime

The sandboxed execution environment for clinical AI agents. Every agent runs inside a Clinical Safety Sandbox with permission-based access, monitored outputs, and human oversight.

Agent SDK Sandboxed Execution Clinical Decision Agents Admin Agents Ops Agents
Agent SDK ├─ patient.query() ├─ clinical.reason() ├─ workflow.trigger() └─ safe.recommend() All calls → Safety Sandbox
03

Clinical Safety Layer Safety

The most critical layer. Every AI action passes through the Clinical Safety Engine — hallucination detection, guideline verification, confidence scoring, and physician approval routing.

Hallucination Detection Guideline Verification Drug Interaction Check Human-in-the-Loop Explainability
AI Suggestion ↓ Safety Engine ├─ hallucination check ├─ guideline match └─ confidence score ↓ Doctor Approval ↓ Clinical Action
Architecture
End-to-end clinical flow
From hospital systems to workflow actions — everything passes through Salordo.
Hospital Systems — EHR · Labs · Imaging
Salordo Data Integration Layer
Unified Clinical Data Lake
AI Agent Runtime
Clinical Safety Engine
Hospital Workflow Systems
Use Case
AI Sepsis Detection Agent
An example of how an AI agent operates safely inside Salordo.
1

Patient Admitted

Patient enters hospital system

→
2

Vitals Streamed

Real-time data flows into Salordo

→
3

AI Analyzes

Agent detects sepsis patterns

→
4

Risk Score

Score generated and validated

→
5

Physician Alert

Doctor reviews. AI cannot order treatment.

Impact
Measurable outcomes
12 months
2 weeks
AI deployment time for hospitals
Baseline
–40%
Doctor administrative workload
Uncontrolled
Zero
Unsafe AI actions in production
Roadmap
From build to global scale
Phase 1 · 0–6 months

Build

  • Data integration engine
  • Basic AI runtime sandbox
  • Safety monitoring core
  • EHR connectors (Epic, Cerner)
Phase 2 · 6–12 months

Validate

  • First hospital pilot
  • Regulatory validation
  • Agent SDK launch
  • Compliance certifications
Phase 3 · 12–24 months

Scale

  • Agent marketplace
  • Multi-hospital network
  • Global expansion
  • Federated learning

Ready to make healthcare AI safe?

Join leading health systems building the future of clinical AI on Salordo.

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