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Storage ⇄ Business productivity

Amazon S3 to eClinicalWorks integration — real-time, two-way sync

Keep Amazon S3 and eClinicalWorks 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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Why teams connect Amazon S3 and eClinicalWorks

Land the records and documents that build up in eClinicalWorks into Amazon S3 as they are created, and surface Amazon S3's file details on the eClinicalWorks records that point to them, without an export job to maintain.

eClinicalWorks and Amazon S3 hold different kinds of data. eClinicalWorks carries records and the activity around them — the tickets, messages, orders, or issues a team works through, often with documents attached. Amazon S3 holds files and the metadata that describes them. Where the two meet is narrow but real: much of what eClinicalWorks produces has to be kept somewhere durable, and many of the files Amazon S3 stores are the very documents eClinicalWorks's records point to.

Stacksync syncs Diagnostic reports, Patients, Appointments, Encounters in eClinicalWorks with Objects, Object metadata, Object tags, Object versions in Amazon S3 in real time. Records and attachments created in eClinicalWorks are written into Amazon S3 as objects or files within seconds of being created. In the other direction, the metadata Amazon S3 keeps about those files — name, location, owner, modified date — flows back onto the matching record in eClinicalWorks, so people see the current document without leaving the tool. Field-level mapping controls exactly what crosses over and in which direction, so you keep a durable copy of what matters without an extract to schedule or a nightly dump that leaves the copy a day behind.

Common use cases

  • 01 Push referral or intake data captured in external forms into the EHR via HL7 interfaces.
  • 02 Sync patient demographics and appointments into a CRM so patient outreach and intake teams work from current data.
  • 03 Mirror Objects under a given Bucket and prefix into another bucket, region, or a warehouse external stage for backup or downstream processing.
  • 04 Trigger a database or ERP record update the moment an S3 Event Notification fires an object-created event, for example when a partner drops an EDI or invoice file into an inbound prefix.

Common sync patterns

Feed a data lake or downstream pipeline

Structured records from eClinicalWorks land in Amazon S3 as objects a data lake, search index, or processing pipeline can read, without a custom extract to build and babysit.

Archive what eClinicalWorks produces into Amazon S3

Records and events from eClinicalWorks — tickets, messages, orders, or issues — are written into Amazon S3 as objects or files as they change, giving you a durable, addressable copy for retention and audit.

Where eClinicalWorks generates attachments: keep the files in Amazon S3

Documents attached to records in eClinicalWorks land in the storage system automatically, with the source record holding a link back, so files live in one governed place instead of inside the tool.

What you can sync between Amazon S3 and eClinicalWorks

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.

Amazon S3 objects eClinicalWorks objects How this pairing syncs
Object metadata System metadata (Content-Type, size, ETag, LastModified) plus user-defined x-amz-meta-* headers; user metadata is fixed at write time and only changeable by rewriting the object. Allergies Allergy and intolerance entries in the clinical record. Object metadata is specific to Amazon S3 and Allergies to eClinicalWorks — each maps to any object or custom field on the other side.
Object tags Up to 10 key-value tags per object, mutable in place via the tagging API independent of content, so classification and retention labels sync two-way without rewriting files. Immunizations Vaccination history exposed for registries and patient apps. Object tags is specific to Amazon S3 and Immunizations to eClinicalWorks — each maps to any object or custom field on the other side.
Object versions When bucket versioning is enabled every write creates a new version ID; prior versions and delete markers are readable for history and audit syncs. Documents Clinical notes and attachments referenced from the chart. Object versions is specific to Amazon S3 and Documents to eClinicalWorks — each maps to any object or custom field on the other side.
Prefixes (folders) Logical path segments in object keys used to scope a sync and to parallelize throughput, since S3 rate limits partition by prefix. Diagnostic reports Structured result reports grouping observations for a study or panel. Prefixes (folders) is specific to Amazon S3 and Diagnostic reports to eClinicalWorks — each maps to any object or custom field on the other side.
Multipart uploads In-progress large-object uploads assembled from parts; objects above ~100 MB (required above 5 GB) are written this way, and incomplete uploads persist until completed or aborted. Patients Demographic records exposed via FHIR Patient resources and HL7 ADT feeds; the anchor for all clinical syncs. Multipart uploads is specific to Amazon S3 and Patients to eClinicalWorks — each maps to any object or custom field on the other side.
Buckets Top-level, region-scoped containers that hold objects; enumerated to discover the namespaces and prefixes a sync should cover. Appointments Scheduling records available via FHIR and HL7 SIU messages, synced for reminders and outreach. Buckets is specific to Amazon S3 and Appointments to eClinicalWorks — each maps to any object or custom field on the other side.

How changes propagate between Amazon S3 and eClinicalWorks

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.

Amazon S3 eClinicalWorks Sub-second propagation

DetectionAmazon S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge.

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

eClinicalWorks Amazon S3 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 Amazon S3 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Amazon S3: S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.
  • eClinicalWorks: Subject to the platform's API rate limits and interface throughput agreements.
What ships with Amazon S3 ⇄ eClinicalWorks

Connect Amazon S3 and eClinicalWorks for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon S3–eClinicalWorks connection.

Real-time

Two-way sync

Changes in Amazon S3 or eClinicalWorks instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon S3 or eClinicalWorks 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 Amazon S3 or eClinicalWorks record.

Observability

Monitoring

Track your Amazon S3 ⇄ eClinicalWorks sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon S3 and eClinicalWorks.

How the Amazon S3 and eClinicalWorks connectors work

Amazon S3

Integration surface
S3 REST API (also via AWS SDKs and the S3-compatible endpoint)
Authentication
AWS IAM credentials — an access key ID and secret access key signed with AWS Signature Version 4; supports temporary STS credentials and cross-account IAM roles
Change detection
S3 Event Notifications push object-created, object-removed, and object-tagging events to SNS, SQS, Lambda, or EventBridge; there is no modified-since query, so polling relies on each object's LastModified from ListObjectsV2
Capabilities
read · write · webhooks
Rate limits
S3 sustains at least 3,500 PUT/COPY/POST/DELETE and 5,500 GET/HEAD requests per second per partitioned prefix and scales higher automatically; bursts can return HTTP 503 SlowDown while it repartitions.

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
How it works

How to connect Amazon S3 to eClinicalWorks — 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 Amazon S3 and eClinicalWorks 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
    Amazon S3 connected
    eClinicalWorks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon S3 and eClinicalWorks 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 · Amazon S3 ⇄ eClinicalWorks
    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
    Amazon S3 eClinicalWorks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon S3 and eClinicalWorks 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.

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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 430 integrations available for Amazon S3 and eClinicalWorks.

Popular · 7 of 430
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