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eClinicalWorks to Jms integration — real-time, two-way sync

Keep eClinicalWorks and Jms in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect eClinicalWorks and Jms

Connect the tickets, records, and events in eClinicalWorks to the systems engineering runs in Jms, kept current in real time and in both directions.

eClinicalWorks is where customer-facing and operational work happens: the tickets, conversations, contacts, and records a team touches every day. Jms is where engineering runs the systems behind that work — the issue trackers, message brokers, directories, and monitors that keep services moving. The same items, people, and events matter to both, and when the only link between them is a manual hand-off or an overnight export, each side acts on a stale copy of what the other already knows.

Stacksync syncs Patients, Appointments, Encounters, Practitioners in eClinicalWorks with TextMessage, MapMessage, BytesMessage, Durable Subscription in Jms field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync maps the overlap, resolves conflicts by rules you set, and keeps every copy current, with no middleware to build and no API limits to babysit.

Common use cases

  • 01 Sync patient demographics and appointments into a CRM so patient outreach and intake teams work from current data.
  • 02 Land encounter and billing-context data in a warehouse for utilization and revenue-cycle reporting.
  • 03 Bridge a legacy IBM MQ or ActiveMQ Queue to a SaaS system of record by consuming each message and writing the record through the SaaS API.
  • 04 Fan out inventory or pricing updates onto a Topic with durable subscriptions so multiple services stay aligned even after downtime.

Common sync patterns

One shared record across both systems

Where both systems keep records for the same contacts, items, or users, a correction in either updates the other, ending dual maintenance and keeping IDs aligned for every other flow.

Where Jms tracks engineering work: requests become issues

A ticket or request raised in eClinicalWorks opens or updates a matching issue in Jms, and status, comments, and resolution flow back, so support and engineering work the same item instead of retyping it.

Where Jms moves messages between services: activity lands on the stream

Records created or changed in eClinicalWorks publish to the queue or topic in Jms as they happen, so downstream services react to real events rather than polling for them.

What you can sync between eClinicalWorks and Jms

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

eClinicalWorks objects Jms objects How this pairing syncs
Observations Labs and vitals, delivered via FHIR resources or HL7 ORU result messages. Topic Publish/subscribe destination that fans each message out to every active subscriber. Stacksync subscribes to event streams or publishes records so multiple services react. Observations is specific to eClinicalWorks and Topic to Jms — each maps to any object or custom field on the other side.
Medications Prescription and medication-list data within the patient record. TextMessage Most common body type, carrying a String that is usually JSON or XML. Deserialized into rows/records on read and serialized from source records on write. Medications is specific to eClinicalWorks and TextMessage to Jms — each maps to any object or custom field on the other side.
Allergies Allergy and intolerance entries in the clinical record. MapMessage Body of typed name/value pairs that maps directly onto record fields, so no custom body parsing is needed on read or write. Allergies is specific to eClinicalWorks and MapMessage to Jms — each maps to any object or custom field on the other side.
Immunizations Vaccination history exposed for registries and patient apps. BytesMessage Raw binary body for files, protobuf, or opaque payloads; passed through as a byte stream when structured field mapping is not required. Immunizations is specific to eClinicalWorks and BytesMessage to Jms — each maps to any object or custom field on the other side.
Documents Clinical notes and attachments referenced from the chart. Durable Subscription Named topic subscription that retains messages while the consumer is offline, so a sync that disconnects does not miss events published in the meantime. Documents is specific to eClinicalWorks and Durable Subscription to Jms — each maps to any object or custom field on the other side.
Diagnostic reports Structured result reports grouping observations for a study or panel. Message headers and properties JMSCorrelationID, JMSReplyTo, JMSTimestamp, JMSType plus JMSX/application-defined properties; used for correlation, routing, and selector-based filtering. Diagnostic reports is specific to eClinicalWorks and Message headers and properties to Jms — each maps to any object or custom field on the other side.

How changes propagate between eClinicalWorks and Jms

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

eClinicalWorks Jms Interval-based propagation

DetectionStacksync polls eClinicalWorks for changes on an incremental schedule, reading only records changed since the previous pass. HL7 interface feeds push event messages as they occur.

DeliveryEach detected change is written to Jms through its API, with automatic retries and rate-limit backoff.

Jms eClinicalWorks Sub-second propagation

DetectionJms notifies Stacksync of record changes through webhook events. Asynchronous push — the broker delivers messages to registered consumers (MessageListener.onMessage) in real time, with no polling.

DeliveryEach detected change is written to eClinicalWorks through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • eClinicalWorks: Subject to the platform's API rate limits and interface throughput agreements.
  • Jms: JMS defines no protocol-level rate limits; throughput ceilings, consumer prefetch, and producer flow control are configured on the broker (ActiveMQ, IBM MQ, Solace, TIBCO EMS, etc.).
What ships with eClinicalWorks ⇄ Jms

Connect eClinicalWorks and Jms for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every eClinicalWorks–Jms connection.

Real-time

Two-way sync

Changes in eClinicalWorks or Jms instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever eClinicalWorks or Jms data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single eClinicalWorks or Jms record.

Observability

Monitoring

Track your eClinicalWorks ⇄ Jms sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between eClinicalWorks and Jms.

How the eClinicalWorks and Jms connectors work

eClinicalWorks

Integration surface
FHIR R4 REST API plus HL7 v2 interfaces (ADT, SIU, ORU) through an interface engine
Authentication
OAuth 2.0 / SMART on FHIR for the FHIR API; site-configured credentials for HL7 interface connections
Change detection
HL7 interface feeds push event messages as they occur; the FHIR API is polled
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits and interface throughput agreements

Jms

Integration surface
JMS / Jakarta Messaging API (classic API and simplified JMSContext) over provider transports such as OpenWire, AMQP, IBM MQ, or STOMP
Authentication
Username/password credentials passed to ConnectionFactory.createConnection(); ConnectionFactory and Destinations resolved via JNDI. Transport security (TLS) and stronger auth (SASL, JAAS, client certificates) are broker-implementation-specific.
Change detection
Asynchronous push — the broker delivers messages to registered consumers (MessageListener.onMessage) in real time, with no polling. Message selectors (an SQL-92 subset over headers/properties) filter delivery. There is no modified-date polling or CDC replay, and queue consumption is destructive.
Capabilities
read · write · webhooks
Rate limits
JMS defines no protocol-level rate limits; throughput ceilings, consumer prefetch, and producer flow control are configured on the broker (ActiveMQ, IBM MQ, Solace, TIBCO EMS, etc.).
How it works

How to connect eClinicalWorks to Jms — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate eClinicalWorks and Jms with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    eClinicalWorks connected
    Jms connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the eClinicalWorks and Jms objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · eClinicalWorks ⇄ Jms
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    eClinicalWorks Jms
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

eClinicalWorks and Jms integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 318 integrations available for eClinicalWorks and Jms.

Popular · 8 of 318
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