Allscripts / Veradigm to Oracle Fusion Data Mapping — Field by Field, Code by Code

Allscripts / veradigm to oracle fusion data mapping is the named, signed, version-controlled crosswalk between Allscripts/Veradigm source fields and Fusion target fields — table by table, column by column, code value by code value. Sunrise's charge_dtl.charge_amt becomes Fusion GL_INTERFACE.entered_dr or entered_cr depending on sign. TouchWorks's encounter.dept_id becomes Fusion HR_ALL_ORGANIZATION_UNITS.organization_id via a department crosswalk lookup. Practice Fusion's provider.npi becomes Fusion PER_ALL_PEOPLE_F.national_identifier. dbMotion's patient_id (unified across EHRs) becomes a deterministic pseudonymized token used for analytical joins. The mapping document covers every domain, names the transformation per field (direct copy, lookup, computed, hashed, dropped under PHI policy), names the validation rule, and is signed off by the CFO, CHRO, biomed director and privacy officer before extraction begins.

Because Allscripts/Veradigm spans five distinct data models in one logical migration. Sunrise on Sybase/SQL Server uses a vendor-specific clinical+financial schema layered with Sunrise Financial Manager. TouchWorks on SQL Server uses an ambulatory schema with overlapping but non-identical column names. Professional EHR has its own schema (closer to legacy A4 MedicWare). Practice Fusion lives in a cloud REST API with denormalized JSON payloads. dbMotion is a separate interoperability layer with unified patient identity but its own canonical data model. The allscripts / veradigm to oracle fusion data mapping document has to harmonize across all five sources before producing one consistent Fusion-side payload — which means the same logical concept (a charge, a provider, a department) gets mapped from five different source representations into one target Fusion record. Most consultant projects underestimate this and build five parallel mappings that fight each other in reconciliation.

Sunrise: pt_encounter, charge_dtl, charge_summary, sf_charge_master, sf_dept_master, provider_master, ord_summary (metadata only), result_summary (metadata only). TouchWorks: encounter, charge_transaction, claim, scheduling.appointment, provider, department, item_master. Professional EHR: visit, charge, claim, provider, department schemas. Practice Fusion REST endpoints: /encounters, /charges, /providers, /patients (LDS only), /subscriptions, /billing. dbMotion: cross-EHR encounter views, unified-patient-identity views, organization hierarchy views. Veradigm Unity API: ambulatory practice endpoints, scheduling, financials. Veradigm Network / Health Insights: claim datasets (per data-use authorization). FollowMyHealth: portal-engagement summary. Allscripts Practice Management (APM): scheduling, billing, AR. Payerpath: claims clearinghouse data. Every table and endpoint is named in the allscripts / veradigm to oracle fusion data mapping deliverable.

Per the privacy officer's per-domain PHI classification, every PHI field gets a named handling mode applied at mapping time. Direct identifiers (patient name, MRN, DOB, SSN, address, phone) follow the Safe Harbor 18-identifier removal rule under 45 CFR 164.514(b)(2) — these fields are simply dropped from the Fusion-side payload. Indirect identifiers (encounter date, age band, three-digit ZIP, dates of service) follow Limited Data Set rules under 45 CFR 164.514(e) — retained for analytical use under a Data Use Agreement. Patient identity needed for downstream Fusion joins gets KMS-pseudonymization — the source MRN or Practice Fusion patient ID becomes a deterministic SHA-256 token keyed by a KMS-managed secret. Aggregate-only domains produce counts and sums per encounter, department or fiscal period — no row-level data crosses. The allscripts / veradigm to oracle fusion data mapping document names the handling mode per column so the privacy officer can audit it once and sign it once.

Through a signed CFO crosswalk register that is itself a deliverable. The Allscripts charge master in Sunrise (sf_charge_master) and the TouchWorks item_master both carry vendor-specific charge codes — typically CPT-derived for professional services and HCPCS-derived for supplies and medications. The allscripts / veradigm to oracle fusion data mapping projects each charge code to a Fusion natural account (revenue or contra-revenue), a Fusion sub-account (specialty / facility), and a Fusion cost center (department crosswalk). For contractual adjustments, the mapping carries the payer-specific allowance rule into a Fusion contra-revenue line. For self-pay write-offs and bad debt, the mapping splits to the appropriate Fusion expense accounts. The CFO countersigns every line in the charge-master crosswalk before extraction. Practice Fusion subscription-tier billing (a flat SaaS fee per provider per month) maps separately to a Fusion supplier-side AP entry rather than to AR.

Allscripts provider tables, your HRIS and your credentialing system all carry clinician records and they disagree in 8-20% of cases — different name variants, different department assignments, different start dates, different credentialing license-expiry dates. The allscripts / veradigm to oracle fusion data mapping produces a single resolved Fusion HCM Worker per clinician. The resolution algorithm: NPI is the primary join key (every US clinician has a unique NPI); secondary fallback is state license number; tertiary fallback is a name-and-DOB match flagged for human review. Where Sunrise, TouchWorks and Practice Fusion all carry a provider record for the same NPI, the mapping picks the most-recently-updated source as the authoritative record and logs the conflict. The Medical Staff Office reviews the conflict log and signs off on the resolution before HDL Worker.dat load. The allscripts / veradigm to oracle fusion data mapping carries the audit trail back to each source.

Veradigm Network and Veradigm Health Insights are de-identified claim and clinical datasets used for life-sciences research and real-world-evidence work. Customers who have data-use authorization to receive these datasets sometimes want to land them in Oracle Fusion's analytical layer or in a separate research data platform that runs alongside Fusion. The allscripts / veradigm to oracle fusion data mapping treats these as their own workstream: the Safe Harbor or Expert Determination de-identification mode is documented per dataset, the data-use authorization is named, the contractual retention is encoded, and the target landing zone is either Fusion's analytical schema or an adjacent research platform (typically Snowflake or Databricks). The privacy officer and life-sciences research lead countersign the Veradigm Network mapping before any extraction. Most customers do not migrate Veradigm Network data into Fusion's transactional layer — it stays in the analytical layer.

Oracle releases Fusion quarterly (currently the 26x release train). Every release can change FBDI templates, HDL .dat formats, REST API contracts and required fields. The allscripts / veradigm to oracle fusion data mapping deliverable is version-controlled in git per Fusion release and validated against the current Fusion target schemas before every extraction run. Syntra ETL ships pre-built FBDI / HDL emitters per Fusion release; when Oracle ships 26B, 26C or 26D, the emitters update and the local validation catches any column drift. Customer-specific mapping overlays (specific charge-master codes, specific cost-center conventions) sit on top of the base emitter and survive Fusion upgrades. The mapping owner — typically the customer's Fusion CoE lead — receives a quarterly diff report showing exactly what changed per Fusion release.