1. Getting started
  • Getting started
    • Welcome to Cardioexplorer
    • Core Concepts
    • Developer Quickstart & Resources
  • Guides
    • FHIR Client Integration Guide
    • Integration Strategy Guide
    • Cardiac Data Requirements & Gap Analysis
  • Reference
    • API Objects & Models
    • Error Reference
  • Resources
    • Changelog
    • Frequently Asked Questions
Guides
API References
Guides
API References
  1. Getting started

Welcome to Cardioexplorer

AI-powered cardiac risk assessment, built into your platform.
CardioExplorer analyzes routine clinical data — labs, vitals and medications — to deliver a validated coronary risk score in seconds. Send a FHIR bundle, get back a risk assessment, clinical recommendations and a shareable PDF report.
Explore guides Developer Quickstart Core Concepts
32clinical parameters
7API endpoints
<5 srisk result
2integration paths

Who is it for?#

CardioExplorer is built for EHR and healthcare platform vendors embedding cardiac risk scoring into their own products, and for hospitals and clinics that want a validated assessment workflow without building one. Typical use cases:
EHR integration — score patients directly from existing record data via FHIR, no manual data entry
Clinical decision support — surface risk level and ESC-guideline recommendations at the point of care

Core capabilities#

🩺
AI Cardiac Risk Engine
Our model analyzes 32 key clinical parameters — lipid panel, blood pressure, hs-troponin, medications and symptoms — to compute a coronary risk score, risk class, and ESC-guideline-based recommendations.
🔄
FHIR Normalization & Automated Mapping
Send a standard FHIR R4 Bundle straight from your EHR. We validate every resource, map LOINC / SNOMED CT codes to our clinical concepts, and convert units automatically — no manual data entry.
📊
Gap Analysis & Instant Validation
Every submission returns an instant report — itemsMapped, itemsRejected and itemsMissing — so you know exactly which values were accepted, which were invalid, and what's still needed.
📄
Clinical Reports & Magic Links
Retrieve a formatted PDF patient report via API (direct download or base64), or generate a magic link that drops clinicians into the CardioExplorer UI — no separate login required.

The API at a glance#

EndpointWhat it does
Obtain access tokenExchange org credentials for a JWT (valid 3600 s)
Generate magic linkSingle-use URL that logs a clinician into the CardioExplorer UI
Generate draft testSend a FHIR bundle, receive draftTestId + gap analysis
Run CCSTestTrigger the AI model — risk score, class and recommendations
Get CCSTest resultFull patient report as JSON
Download PDF ReportFormatted report as a direct file download
Get PDF ReportThe same PDF as base64 for embedding or archiving

Environments & versioning#

EnvironmentBase URLPurpose
Productionhttps://api.cardioexplorer.aiLive clinical use
ℹ️ Note: Current API version: v1 (CCS endpoints are versioned in the path, e.g. /api/ccs/v1/…).

How it works#

1.
Authenticate — exchange your organization's clientId / clientSecret for a JWT access token (valid 3600 s).
2.
Send patient data — POST a FHIR bundle to create a draft test. Gap analysis tells you instantly what mapped.
3.
Run the assessment — trigger the AI model. Risk score, risk class and localized recommendations are computed and stored.
4.
Deliver results — fetch the full JSON report, download the PDF, or hand clinicians a magic link to review in our UI.
Related pages: Core Concepts · Developer Quickstart · Integration Strategy Guide — Questions? info@explorishealth.com
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Core Concepts
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