OPERATIONS CONNECTORS

Integration Patterns & Architecture

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Choose flexible, secure and scalable patterns for connecting ERP, procurement, inventory, workforce, facilities, payer and other operational systems to Mediloop.

Architecture OverviewIntegration PatternsEvent-Driven ArchitectureData Mapping & TransformationReliability & Error HandlingDeployment Options

Architecture Overview

Operational Systems

ERP, procurement, WMS, HR, facilities, payer and partner systems

Integration Layer

APIs, adapters, protocol handlers, gateways and authentication

Validation & Mapping

Schema validation, transformation, canonical model, deduplication

Operational Canonical Model

Suppliers, stock, orders, invoices, staff, assets and reference data

Event & Workflow Layer

Events, workflow triggers, audit, monitoring and retries

Mediloop Services

Operational services and explicit links into clinical workflows

Bidirectional synchronization is used only when the source-of-truth and business process require it.

Integration Patterns

REST APIs

Real-time request/response; transactional integrations

GraphQL

Flexible queries where supported by the source

SOAP / OData

Enterprise and legacy vendor interfaces

EDI

Structured business documents such as orders/invoices

SFTP / File

Batch data exchange and legacy integration

Message Queue

High-volume asynchronous processing

Webhooks

Real-time notifications and domain events

Batch Synchronization

Periodic import/export or reconciliation

Event-Driven Architecture

Publish domain events only after successful state change

Use stable event IDs and idempotent consumers

Preserve ordering where the business process depends on it

Retry transient failures with backoff and dead-letter handling

Include correlation IDs for end-to-end traceability

jsonCopy

{
  "event": "purchase_order.confirmed",
  "eventId": "evt_01J...",
  "occurredAt": "2026-09-06T12:15:00Z",
  "correlationId": "corr_123",
  "data": { "orderId": "po_45872", "status": "confirmed" }
}
// Illustrative event contract until the domain event schema is version-frozen.

Data Mapping & Transformation

Validate source schema and business-required fields

Map to the operational canonical model — not to FHIR unless the data is genuinely clinical

Preserve original identifiers and source values

Version field mappings and reference-data translations

Keep transformations reversible or traceable whenever practical

Use MSIS only for clinical terminology/semantic normalization at cross-domain boundaries

Reliability & Error Handling

Concern	Recommended pattern	Operational outcome
Duplicates	Idempotency key + source transaction ID	Safe retries
Transient errors	Exponential backoff + jitter	Automatic recovery
Permanent errors	Dead-letter / exception queue	Controlled manual resolution
Partial batch failure	Per-record result + resumable processing	No all-or-nothing data loss
Drift	Scheduled reconciliation	Source/target consistency
Observability	Correlation IDs, logs, metrics, traces	Fast diagnosis and audit

Deployment Options

Cloud Connector

Managed integration when external systems expose secure internet/private endpoints

On-Premise Gateway

Local adapter for legacy systems, private networks and local files/protocols

Hybrid Deployment

Cloud orchestration with controlled local connectivity

Partner-Managed Adapter

Certified partner connector where vendor/customer operations require it

Security Considerations

OAuth/OIDC where appropriate; mTLS/service credentials for system-to-system traffic

Private connectivity/VPN where enterprise policy requires it

IP allowlisting, rate limits and tenant-scoped authorization

Encryption in transit and at rest

Audit configuration and data-access events

Never put operational integration credentials in browser/client code

Developer Integration Surface

Surface	Operation / resource	Use	Status
REST/GraphQL/OData/SOAP	Vendor endpoints and Mediloop domain APIs	Synchronous integrations	API surface
EDI	EDIFACT/X12 messages + acknowledgements	B2B transactions	Protocol surface
SFTP/files	CSV/XML/JSON + manifest/checksum	Batch/legacy	Protocol surface
Webhooks/queues	Events + delivery guarantees	Asynchronous automation	Schema by domain
Gateway/SDK	Adapter lifecycle, auth, mapping and retries	Custom/legacy modernization	Planned/evolving

Next Steps

Continue to Data Mapping & Transformation once the transport and deployment pattern is selected.