EPIC SYSTEMS ETL CONNECTOR

    Epic Systems ETL Connector — Pre-Built, Certified, Audit-Signed

    Pre-built epic systems etl connector for downstream finance, HCM and SCM. Clarity-certified extractors, Cogito reconciliation, FBDI/HDL emission, HIPAA-grade audit-signed manifests. Tested across Epic 2018–current GA, Fusion 26x. Managed service or customer-deployed.

    8 domains
    Pre-built extractor coverage
    2–4 wk
    Time-to-first-load
    Multi-instance
    Multi-Epic consolidation
    0 risk
    Chronicles never touched

    What the epic systems etl connector ships out of the box

    The productised version of what consultant-led Epic-to-Fusion programmes build by hand — pre-built, tested across releases, audit-signed by default.

    An Epic-to-Fusion downstream migration done with generic ETL tools (Informatica PowerCenter, Talend, Matillion, custom Python) typically takes 8–16 weeks of bespoke Clarity SQL development before the first load. Every downstream domain — Resolute HB/PB AR, Worker master, Willow, OpTime, Beaker — is built from scratch against your Clarity schema. Cogito reconciliation is added manually if at all. FBDI ZIP and HDL .dat emission is custom code. Audit logging is bolted on. The first load slips into Q2 of the project; the second load is later.

    The epic systems etl connector compresses that to 2–4 weeks because it ships everything pre-built. Eight pre-built extractor families covering every downstream finance/HCM/SCM Clarity table you'll need. Three-tier Cogito reconciliation harness running per load automatically. FBDI ZIP and HDL .dat emission for current Fusion 26x release with quarterly schema updates. HIPAA §164.312(b) audit-signed manifests including actor log, source-hash, target-hash and Cogito reference. Operations dashboard. Failed-load triage workflow. None of that is custom-developed per engagement.

    Deployment is flexible — managed service operated by Syntra ETL via secured VPN to your Clarity environment, customer-deployed product in your Oracle Cloud (OCI) or Azure tenancy, or hybrid (managed during bulk migration, customer-deployed at steady-state). All three deployments use the same connector binary and the same audit-signed manifest format. Pricing is fixed-fee bulk migration ($400K–$800K typical regional health system) plus annual subscription steady-state ($120K–$220K typical regional health system) — all-in including build, deployment, parallel-run, cutover, hypercare and ongoing release maintenance.

    Eight downstream domains the connector covers day one

    1
    Resolute HB/PB AR
    ARPB_TRANSACTIONS, HSP_TRANSACTIONS, HSP_ACCOUNT extracted with period summarisation. FBDI Journal Import for Fusion GL.
    2
    Worker + provider
    CLARITY_EMP × CLARITY_SER merged with NPI/SSN/employee-ID match. HDL Worker.dat for Fusion HCM.
    3
    Willow + 340B
    RX_MED, RX_FILL, RX_PAT_MED extracted with 340B flag preserved. FBDI Item + Inventory Transaction Import.
    4
    OpTime + Beaker
    OR_LOG, OR_CASE, ORDER_PROC, preference cards, reagent supplier master. FBDI for Items, Procurement, Materials.

    Six things the epic systems etl connector ships pre-built that custom ETL doesn't

    The hard parts of an Epic-to-Fusion migration — productised, tested, audit-signed by default.

    📚

    Resolute posting library

    Pre-built crosswalk patterns for the most common Resolute HB/PB downstream posting rules. 80%+ of typical hospital posting patterns covered out of box. Configure to your instance — don't reinvent.

    🔄

    Cogito reconciliation harness

    Three-tier reconciliation built into every load. Custom ETL has zero by default. Variance dashboard, disposition workflow, signed evidence pack — all included.

    📋

    Audit-signed manifests

    Every extract emits HIPAA §164.312(b) manifest with actor log, source-hash, target-hash, Cogito reference. SOX 404 + Joint Commission retrieval ready. Custom ETL bolts this on as Phase 2.

    ⚙️

    Quarterly release tracking

    Connector tested against Epic's quarterly cadence + Fusion's 26x cadence. Custom ETL breaks on next release; connector adapts via release notes pre-published.

    🏥

    340B + multi-instance

    340B flag preserved through extraction-transformation-load. Multi-Epic instance consolidation with per-instance service accounts and reconciliation. Common patterns at regional health systems and IDNs.

    🛡️

    HIPAA + 42 CFR Part 2

    PHI scope-limited at extraction, 42 CFR Part 2 substance-use flag handled per instance configuration. Privacy officer signs off the connector deployment scope once, not per engagement.

    The epic systems etl connector deployment timeline — six stages

    From discovery to first reconciled load. Typical regional health system: 2–4 weeks elapsed.

    1

    Discovery + Service Account — Week 1

    Epic technical team provisions read-only Clarity service account scoped to downstream finance/HCM/SCM tables. Connector deployment target chosen (managed service vs customer-deployed). Network connectivity established.

    2

    Connector Deployment — Week 1–2

    Connector deployed in chosen target (Syntra ETL managed cloud, customer OCI/Azure). Object storage configured for staged Parquet output. Audit log destination configured. Operations dashboard provisioned.

    3

    Configuration — Week 2

    Per-domain configuration: which Resolute posting patterns are active at your site, which Willow inventory locations, which OpTime preference cards, etc. Pre-built crosswalk library configured to your Epic instance specifics.

    4

    First Test Extract — Week 2

    First test extract runs against a single fiscal period for a single service area. Output validated against Cogito reference. Audit manifest reviewed by privacy officer. Sign-off captured.

    5

    Full Backfill — Week 3

    Full multi-year backfill runs in parallel partitioned jobs by service area + fiscal period. Output staged for Fusion FBDI/HDL transformation. Three-tier reconciliation runs per partition.

    6

    Steady-State Activation — Week 4

    Daily delta extraction enabled. Reconciliation harness runs nightly. Operations dashboard live. Connector now in steady-state operations — same binary, same manifests, same audit chain.

    Why the epic systems etl connector wins over generic ETL platforms

    Six concrete differences that show up in week one and last through steady-state.

    ⏱️

    2–4 weeks not 8–16

    Pre-built extractors and crosswalks compress time-to-first-load by 4x. First reconciled load in week 2–3, not month 4.

    📊

    Cogito reconciliation included

    Three-tier reconciliation runs automatically per load. Custom Informatica/Talend builds it as a Phase 2 add-on, often poorly.

    🔐

    HIPAA evidence by default

    Audit-signed manifests satisfy HIPAA §164.312(b) and SOX 404 without extra work. Generic ETL platforms have generic audit logs that don't map to HIPAA controls.

    ⚙️

    Quarterly release maintenance

    Epic + Fusion quarterly upgrades handled. Generic ETL on a custom build breaks on the next release — your team owns the rebuild.

    💵

    Fixed-fee + subscription

    Fixed-fee bulk migration + predictable annual subscription steady-state. Generic ETL projects run T&E with the cost overrun line being a multi-quarter pattern.

    🩺

    Healthcare-native

    340B, 42 CFR Part 2, Joint Commission, CMS cost report — all handled by default. Generic ETL platforms are cross-industry; healthcare-specific work becomes the customer's job.

    Frequently asked questions

    What is the Syntra ETL epic systems etl connector?+

    The Syntra ETL epic systems etl connector is a pre-built, certified extraction + transformation + load product purpose-built for moving Epic-side downstream finance, HCM and SCM data to Oracle Fusion. It bundles four things: Clarity-certified extractors (Resolute HB/PB, CLARITY_EMP/SER, Willow, OpTime, Beaker), Cogito reconciliation harness, Fusion-grade FBDI/HDL emission, and HIPAA-grade audit-signed manifests. It runs as a managed service or as a customer-deployed product against your existing cloud/on-prem object storage. Chronicles MUMPS database is never touched. The connector is tested across Epic versions (2018 through current GA) and Fusion 26x quarterly releases — your engagement gets ongoing release maintenance, not a snapshot build.

    Why use a pre-built epic systems etl connector vs custom ETL?+

    Custom ETL solutions (Informatica PowerCenter, Talend, Matillion, custom Python) work at small scale but require months of bespoke Clarity SQL development, manual Cogito reconciliation hooks, manual FBDI/HDL emitter code, and zero audit-signed evidence by default. The epic systems etl connector ships all of that pre-built: extractors covering every downstream finance/HCM/SCM Clarity table, automatic three-tier Cogito reconciliation per load, FBDI ZIP and HDL .dat emission, audit-signed manifests satisfying HIPAA §164.312(b) and SOX 404 with zero extra work. Time-to-first-load compresses from 8–16 weeks (custom) to 2–4 weeks (connector). Maintenance compresses from "break on next Epic release" to managed service.

    Which Epic deployments does the etl connector support?+

    All Epic deployments running supported versions (Epic 2018 through current GA — currently Epic May 2024) with Clarity (SQL Server) available. Connector supports on-prem Epic, Epic-on-Azure (the recommended Microsoft pattern), Epic-on-AWS (less common but supported) and Epic Community Connect (smaller hospitals running shared Epic instance with a host system). Hosted Epic deployments where the customer doesn't directly control Clarity require Epic's authorization for the Clarity service account — Syntra ETL handles the App Orchard registration and authorization workflow. Multi-tenant Epic hosts (typically large academic medical centres hosting smaller affiliated facilities) are supported with tenant-scoped extraction service accounts per affiliated facility.

    What domains does the epic systems etl connector cover out of the box?+

    Eight finance/HCM/SCM domains. (1) Resolute HB/PB AR: ARPB_TRANSACTIONS, HSP_TRANSACTIONS, HSP_ACCOUNT, HSP_ACCT_TX_LIST. (2) GL trial balance + history from Clarity reporting marts or legacy ERP. (3) Worker + provider master: CLARITY_EMP + CLARITY_SER merged. (4) Payroll history (where applicable). (5) Willow pharmacy: RX_MED, RX_FILL, RX_PAT_MED with 340B flag. (6) OpTime surgical: OR_LOG, OR_CASE, OR_LOG_CASE_TIMES, preference cards. (7) Beaker laboratory: ORDER_PROC, reagent supplier master. (8) Supplier + fixed assets from legacy AP/FA system. Chronicles is never directly queried. The connector exposes configuration hooks for site-specific Clarity extensions where required.

    How does the etl connector handle Clarity ETL refresh lag?+

    Built into the connector. Every extract starts with a freshness watermark check against CLARITY_REFRESH_LOG (or its local equivalent — Clarity refresh table naming varies by Epic installation). If freshness is below the configured tolerance, the extract aborts and posts a dashboard alert. Critical-path datasets (Resolute AR aging at period close) are cross-checked against Cogito's snapshot to confirm consistency. Where sub-hour freshness is mandatory the connector consumes HL7 v2 events directly from Interconnect — bypassing Clarity entirely. In practice 90%+ of finance/HCM/SCM use cases tolerate the standard Clarity lag because they are batch by design (daily journal post, nightly inventory refresh, hourly delta).

    Does the connector support multi-instance Epic consolidation?+

    Yes. Common pattern: regional health system has acquired smaller hospitals over time, each running its own Epic instance (or shared Community Connect). Consolidation to one Fusion instance requires merging downstream finance/HCM/SCM data from multiple Epic instances. The epic systems etl connector supports multi-instance extraction with per-instance service accounts, per-instance Clarity refresh watermark management, and per-instance reconciliation. Output is merged with instance-of-origin tracking preserved for audit. Typical multi-instance scenarios: 3 hospitals on one Epic instance + 2 on another + 1 via Community Connect, consolidating to one Fusion finance/HCM. Connector handles all six sources in one orchestrated run.

    What's the deployment model for the epic systems etl connector?+

    Three options. Managed service: Syntra ETL operates the connector against your Clarity environment via secured VPN, output landed in your cloud object storage. Best for migrations where you don't want to own the operational connector during build phase. Customer-deployed product: connector deployed in your Oracle Cloud (OCI) or Azure tenancy, your team operates it, Syntra ETL provides support and quarterly release updates. Best for organizations with strong internal data engineering. Hybrid: managed during the bulk migration phase (build + parallel run), transitioned to customer-deployed at cutover for steady-state operations. Most common pattern. All three deployments use the same connector binary and the same audit-signed manifest format.

    How does pricing work for the etl connector?+

    Two pricing models. Bulk migration: fixed-fee per Epic instance per Fusion target, includes 8–10 weeks of parallel-run operations support. Typical regional health system bulk-migration pricing: $400K–$800K all-in including build, deployment, parallel-run, cutover and 30-day hypercare. Steady-state: annual subscription based on number of integration flows + transaction volume. Typical regional health system steady-state: $120K–$220K annual including OIC integration operations, three-tier reconciliation harness operations, Epic + Fusion quarterly release maintenance, and 24x7 hypercare. Both models include audit-grade evidence packs for SOX, HIPAA and Joint Commission with no extra cost.

    See the epic systems etl connector in action

    Book a 30-minute demo. We'll connect to a Clarity sandbox, run an extraction across Resolute HB/PB + Worker + Willow inventory, and show the three-tier reconciliation evidence pack. Concrete output and pricing before the call ends.