Long-term archival for Epic downstream finance, HCM and SCM data — plus legacy clinical records from systems being retired. Parquet + tiered object storage, HIPAA chain of custody, state retention rules (5–30+ years), queryable via SQL. Epic Chronicles stays the active clinical system.
Epic Chronicles isn't designed as a 30-year archive — it's an operational EHR. Epic systems data archival lets you preserve everything that retention rules demand without burdening operational storage or licensing.
Healthcare retention rules are some of the longest in any industry. Adult medical records: typically 5–10 years post last encounter (state-by-state). Pediatric records: age-of-majority plus 5–10 years, often topping out at 25–30 years total. HIPAA accounting-of-disclosures: 6 years. IRS: 7 years for billing records. Medicare cost reports: 10 years. Medicare claims: 5–10 years. False Claims Act exposure: 6 years. State public records laws: vary widely. Joint Commission medical staff records: often permanent. These aren't optional, and they accumulate.
Holding all of that in active Clarity (the SQL Server relational mirror) is technically possible but operationally expensive — storage cost climbs, query performance degrades on the long tail, and Clarity ETL becomes slower as the operational data warehouse grows. The disciplined answer is epic systems data archival: extract historical data to a queryable, schema-stable Parquet archive on tiered object storage, trim active Clarity to the operational reporting window (2–3 years), and serve long-tail queries from the archive layer.
The same architecture handles legacy clinical and business systems being retired during an Epic consolidation: when a small community hospital's legacy EHR is being decommissioned after Epic go-live, or when a legacy Lawson HR system is being retired ahead of an Oracle Fusion HCM cutover, those systems' retention obligations don't block decommissioning if the data is safely in the archive. Licenses can be terminated; servers can be retired; auditors can still retrieve. That's the business case.
Each pillar designed to satisfy HIPAA, state retention rules and finance/audit requirements at multi-decade scale.
Columnar, vendor-neutral storage. Open format readable by any modern query engine. No proprietary lock-in. Compression typically 4–6x versus row-store source.
Hot (SSD, 1–2 yr), warm (standard object, 2–7 yr), cold (archive-tier, 7+ yr). Automatic tier movement on access pattern + retention rule. ~80% cost reduction per tier.
Direct SQL via AWS Athena, Trino, Presto, BigQuery, Snowflake — whatever your query engine. No restore-and-rummage; auditors and finance analysts query live.
Role-based access, every read logged for accounting-of-disclosures §164.528. Encryption at rest (AES-256), in transit (TLS 1.3), KMS-managed keys.
Every record tagged with state retention rule, expiry date, legal hold flag. Auto-expiry with proof-of-destruction. Per-state rules pre-built for all 50 states + DC + territories.
Every archive load emits hash-signed manifest: source snapshot, row-counts, signatures, actor log. SOX + HIPAA + Joint Commission evidence in one pack.
A repeatable process from extraction through long-term tiered storage with retention auto-management.
Inventory all source systems in archive scope (Epic Clarity downstream + retiring legacy systems). Map every record class to the applicable state retention rule, HIPAA rule, IRS rule, Medicare rule. Output: retention catalog signed by privacy officer + compliance.
Clarity-certified extractor pulls all in-scope downstream data from Epic. Legacy system extractors pull from retiring systems. All extracts hash-signed, partitioned by service area + fiscal period.
Source-schema rows transformed to Parquet with retention metadata embedded (state rule, expiry date, legal hold). Indexes built for MRN, encounter ID, account number, fiscal period lookup.
Hot tier (recent records, SSD), warm tier (operational lookback, standard object), cold tier (long-retention archive, deep archive storage). Manifest signed and stored.
Read-access UI for finance/audit/clinical lookups. SQL query endpoint for ad-hoc. HIPAA logging on every read. Break-glass workflow for emergency access. Role permissions tested with privacy officer.
Active Clarity retention trimmed to operational window (2–3 yr). Legacy systems with retention obligations satisfied can be decommissioned. Licensing terminated. Annual retention-rule review scheduled.
Storage cost, licensing cost, audit cost and operational complexity, all reduced.
Tiered storage (hot/warm/cold) reduces per-GB cost by ~80% as records age. Multi-decade retention at sustainable cost — not punishing operational Clarity storage growth.
Trim active Clarity to operational window (2–3 yr). Clarity ETL runs faster, query performance improves, storage growth slows. Operational reporting users benefit immediately.
Legacy systems being held alive only for retention obligation can finally be decommissioned. Licenses terminated, servers retired, support contracts ended. Often $200K–1M+ annual savings.
Auditors query the archive directly via SQL. No more restore-from-tape, no more locating the old Clarity analyst who knew the schema. Audit walkthrough time drops 50–80%.
Records auto-expire when their state retention rule says so. Proof-of-destruction generated. Privacy officer signs off. No manual disposal projects every few years.
Chain of custody, accounting-of-disclosures, encryption — all built into the archive layer. HIPAA audits run faster because evidence is one-click retrievable.
Epic Systems data archival is the process of moving historical Epic data — typically downstream finance, HCM and SCM records, and in some cases legacy clinical data from systems being retired ahead of an Epic consolidation — into a long-term queryable archive instead of keeping it in the active Epic environment. Important framing: this is not about retiring Epic. Epic Chronicles stays as the active clinical system of record. Archival is about taking the multi-decade history (5–30+ years depending on state retention rules) and freeing it from expensive operational storage while keeping it queryable for audit, finance and patient-record retrieval. Syntra ETL's archive lives on Parquet + object storage with HIPAA-grade chain of custody preserved.
Three drivers. First, state retention rules in healthcare run long — adult medical records 5–10 years post last encounter in most states, pediatric records age-of-majority + 5–10 years (often 25–30 years total), HIPAA itself requires 6 years for accounting-of-disclosures, billing records typically 7 years for IRS, fraud-and-abuse cases run 6 years for FCA. Second, Epic Clarity storage cost climbs with multi-hospital consolidations as decades accumulate. Third, legacy systems being retired during an Epic Systems to Oracle Fusion migration (Lawson HR, McKesson finance, legacy practice management) need an archive home so their retention obligations don't block decommissioning. Archival is the disciplined answer to all three.
A Clarity backup is a point-in-time disk dump — restorable but not queryable, and still tied to the source schema with its operational complexity. An Epic Systems data archival creates a queryable, schema-stable, audit-grade archive: data is extracted via the Clarity-certified extractor, transformed into Parquet (columnar, vendor-neutral), partitioned by service area + fiscal period, indexed by patient MRN / encounter ID / account number for lookup, and stored on tiered object storage. A retiree, auditor or finance analyst can query the archive directly via SQL (Athena/Trino/BigQuery), not just restore-and-rummage. HIPAA accounting-of-disclosures is preserved through the read-access log built into the archive layer.
Both, with a strong default toward downstream business records. The standard Epic Systems data archival scope is downstream — Resolute AR posting history, GL journal history, worker master snapshots, supplier master snapshots, materials transaction history. Clinical record archival from Epic is a less common but supported scenario, typically for retiring a clinical system that was being consolidated INTO Epic (e.g., a small community hospital's legacy EHR being retired after Epic go-live). In that case we extract clinical records via HL7 v2 / CCDA / FHIR R4 export and archive in HL7-native or FHIR-native format with full clinical document fidelity preserved. State medical record retention rules apply — typically 7–30+ years.
Same HIPAA model as the live system, applied to the archive. The archive layer enforces role-based access: provider/clinical users see clinical records, billing users see financial records, retiree-self-service users see their own records only, auditors see read-only with full access logging. Every read access is logged (actor, timestamp, record retrieved, justification) and the log itself is retained per HIPAA accounting-of-disclosures rule §164.528. Break-glass access for emergencies is supported with mandatory after-the-fact review. The archive is encrypted at rest (AES-256) and in transit (TLS 1.3); key management goes through your existing KMS (AWS KMS, OCI Vault, Azure Key Vault, or on-prem HSM).
All of them. We've built archive retention rules for every US state's adult medical record retention (typically 5–10 years post last encounter), every state's pediatric medical record retention (age-of-majority + 5–10 years, capping at 21–28 years in most states), HIPAA accounting-of-disclosures (6 years), IRS records (7 years), Medicare/Medicaid records (10 years for cost reports, 5–10 for claims), 42 CFR Part 2 substance-use records (typically 6+ years), state public records laws where applicable (for public hospital systems), and Joint Commission medical staff records (typically permanent). Retention rules are configured per record class and per legal entity. Expiry triggers automated deletion with auditable proof-of-destruction.
Indefinitely, with cost-tiered storage. The architecture uses three tiers: hot (frequently queried, last 1–2 years, SSD-backed, sub-second query), warm (occasional query, 2–7 years, standard object storage, sub-minute query), and cold (rare query, 7+ years, archive-tier storage like S3 Glacier Deep Archive, restore-then-query within hours). Storage cost drops by ~80% per tier movement. For a typical 8-hospital system carrying 15 years of finance + HCM + downstream materials data, total archive footprint is in the 20–60 TB range and total annual storage cost runs $50–200K depending on access patterns — versus often $500K–1M+ of active Clarity storage and licensing cost the archive offsets.
No license-side action required. The Epic Systems data archival reads from Clarity using the same service-account pattern as any other Clarity consumer — your existing Clarity licensing covers it. The archive itself lives outside Epic in your cloud or on-prem object storage. Where archival enables savings is downstream: legacy systems being retired ahead of consolidation (Lawson, McKesson, etc.) can have their licensing terminated because their retention obligation is satisfied by the archive. For Epic itself nothing changes — you continue running the current Clarity footprint, but you can defer Clarity storage growth by archiving older records out and trimming Clarity retention to the operational reporting window (typically 2–3 years).
Book a 30-minute discovery call. Walk through your retention obligations, source systems in scope, current Clarity footprint and legacy system retirement candidates. Concrete archive sizing, tier strategy and annual cost projection before the call ends.