Two-way sync
Changes in eClinicalWorks or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep eClinicalWorks and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like eClinicalWorks through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in SQL Server.
Stacksync mirrors Observations, Medications, Allergies, Immunizations from eClinicalWorks into Columns, Primary and Unique Keys, CDC Change Tables, Stored Procedures in SQL Server and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into eClinicalWorks, so the tool and the database never disagree.
Updates in eClinicalWorks arrive as row changes in SQL Server, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from eClinicalWorks are ordinary rows in SQL Server; join them, index them, and use them in application logic without touching the vendor API.
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 | SQL Server objects | |
|---|---|---|
| Immunizations Vaccination history exposed for registries and patient apps. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | |
| Documents Clinical notes and attachments referenced from the chart. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | |
| Diagnostic reports Structured result reports grouping observations for a study or panel. | Stored Procedures T-SQL logic that can validate or post-process synced rows. | |
| Patients Demographic records exposed via FHIR Patient resources and HL7 ADT feeds; the anchor for all clinical syncs. | Databases Instance-level databases that scope a sync's reads and writes. | |
| Appointments Scheduling records available via FHIR and HL7 SIU messages, synced for reminders and outreach. | Schemas Namespaces (dbo and custom) used to organize synced tables. | |
| Encounters Visit records tying diagnoses, providers, and billing context together. | Tables The primary sync target; rows map to records in connected systems. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every eClinicalWorks–SQL Server connection.
Changes in eClinicalWorks or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever eClinicalWorks or SQL Server data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single eClinicalWorks or SQL Server record.
Track your eClinicalWorks ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between eClinicalWorks and SQL Server.
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.
Authenticate eClinicalWorks and SQL Server with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the eClinicalWorks and SQL Server 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between eClinicalWorks and SQL Server: authenticate both systems, choose the objects to sync (such as eClinicalWorks's Immunizations and Documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the eClinicalWorks side: Observations, Medications, Allergies, Immunizations, plus custom fields where eClinicalWorks exposes them. On the SQL Server side: Columns, Primary and Unique Keys, CDC Change Tables, Stored Procedures. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for eClinicalWorks and SQL Server: React to changes as they happen; One integration pattern for the whole stack; Read eClinicalWorks with a query. Updates in eClinicalWorks arrive as row changes in SQL Server, so triggers, jobs, and services can respond in near real time.
eClinicalWorks: 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. SQL Server: SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers. Authentication: Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page. Stacksync manages authentication, retries, and rate limits on both sides.
eClinicalWorks: All patient data is PHI, so integrations must run under HIPAA business associate agreements with appropriate access controls. SQL Server: Change Tracking is a lower-overhead alternative that records which rows changed, but not intermediate values, so it suits net-change syncs. Stacksync's field mapping accounts for these differences between eClinicalWorks and SQL Server without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for eClinicalWorks and SQL Server.