Data Migration Made Easy: Transitioning Your Claims History to QuickClaim

Data migration is the reason most employers delay changing claims systems, and the fear is not unreasonable. Claims data is long-lived, legally significant and frequently messy. Nobody wants to be the person who moved twelve years of records and lost the payment history on an open long-tail claim.

In practice, migration goes wrong for a small number of predictable reasons, and almost all of them are addressable before anything is transferred. This article covers what actually needs to move, where the data comes from, how to prepare it, and what obligations apply while it is in transit.

What actually gets migrated

Not everything, and not everything at the same fidelity. A useful migration separates data into three tiers.

Tier one — must move complete and intact. Open claims in full: claim details, injury details, payment history, medical certificates, RTW plans, correspondence and file notes. These are live matters with legal and financial consequences, and partial migration is not an option.

Tier two — must move, summary level acceptable. Recently closed claims, typically anything closed within the statutory reopening window. You need enough to reopen or defend a claim, which usually means the claim record, payment totals and key documents, rather than every internal note.

Tier three — archive rather than migrate. Long-closed claims beyond any realistic reopening horizon. These still need to be retained under record-keeping obligations, but they do not need to live in the operational system. A read-only archive satisfies the requirement without carrying the cleanup cost.

Separating these three early is the single biggest reduction in migration scope available, and it is the step most often skipped.

Where the data comes from

Claims data is almost never in one place. Expect four sources.

• Your existing claims or injury management system. The cleanest source, and the one that exports most predictably.
• Your insurer or scheme agent. For employers moving from an agent-managed arrangement, the agent holds the authoritative payment and claims history. Elumina obtains this directly from your insurer or agent as part of implementation.
• Payroll. Employee details, payroll codes, allowances and weekly earnings history. This is what makes accurate weekly payment calculation possible after cutover.
• Paper and shared drives. Older certificates, signed RTW plans, correspondence that predates digitisation. This is where the effort concentrates.

The gaps between these sources are where problems surface. Payroll says one thing about an employee’s classification, the claims system says another, and the agent’s payment record disagrees with both. Better to find that during preparation than after go-live.

The data audit

Before anything moves, run an audit that answers five questions:

1. How many records are we actually dealing with? Split by open, recently closed and archived. This determines effort more than any other number.
2. What is our employee identifier, and is it consistent? If claims use one ID and payroll uses another with no reliable mapping, resolve that first. Everything downstream depends on it.
3. What state is each claim in, and under which rules? Multi-jurisdiction employers need each claim tagged to the scheme it belongs to. Employers mid-transition between schemes need this at claim level, since pre-transition injuries continue under the previous arrangements.
4. Which fields are actually populated? Most legacy systems have fields that were never filled in. Migrating empty structure adds nothing.
5. Where are the documents? File attachments are usually the hardest part — stored separately, inconsistently named, sometimes linked by a path that no longer resolves.

Cleaning: the part everyone underestimates

Migration is a data quality exercise wearing a technical costume. The transfer is routine; the cleanup is not.

The recurring issues are consistent across organisations:

• Duplicate employees. The same person entered twice — different spelling, different ID, sometimes different site — with claims split across both.
• Free-text where structure belongs. Injury type, body location and mechanism recorded as prose rather than coded values, which makes historical trend analysis impossible until it is mapped.
• Inconsistent dates. Date of injury, date reported, date of first payment and date of claim lodgement used interchangeably by different staff over the years.
• Orphaned payments. Payment records with no matching claim, usually from a system change or a manual adjustment.
• Status values that stopped meaning anything. Fourteen distinct statuses of which four are used, and “pending” covers three different situations.

Two decisions make this tractable. First, clean at source where you can — fixing a duplicate in the old system is easier than reconciling it in the new one. Second, accept that some historical data will not be perfectly structured, and decide deliberately what to map and what to carry as-is. Perfect historical coding is rarely worth what it costs.

Privacy obligations while data is moving

Claims data is health information about identifiable individuals, which places it at the sensitive end of what the Australian Privacy Principles cover. Migration is a period of elevated exposure: data is being extracted, transformed, transferred and held in intermediate states, often by more people than usually have access.

This is not an abstract risk. The OAIC has reported human error as the source of a substantial share of notifiable data breaches, with information sent to the wrong recipient the leading cause — exactly the class of mistake migration projects create opportunities for. The OAIC’s notifiable data breaches reporting sets out the pattern.

Practical controls that matter:

• Transfer through encrypted channels only. No claims extracts by email, ever, including to the vendor.
• Restrict access to the migration dataset to named individuals with a documented reason.
• Keep a register of every extract created, where it was stored and when it was destroyed.
• Confirm where the data will be hosted after migration — Elumina stores all data in Australia, and the security and privacy arrangements are published rather than described on request.
• Securely destroy intermediate files once validation is complete. They are the forgotten copies that cause breaches eighteen months later.

Validation and parallel running

Validation is not a spot check. Three layers are worth running.

Counts. Record numbers by claim status, by site, by year. Any variance needs an explanation before you proceed, not a shrug.

Financial reconciliation. Total payments by claim and in aggregate, reconciled against the source system and the insurer’s records. This is the reconciliation that matters most and the one auditors will ask about.

Sample depth testing. Take a stratified sample — a long-tail claim with extensive history, a recent straightforward claim, a disputed claim, a claim with documents, one from each jurisdiction — and check every field and attachment manually. Twenty claims examined properly reveal more than two thousand checked automatically.

On parallel running: keep the legacy system available in read-only mode for a defined period after cutover, commonly one to three months. Not as a fallback for daily work — dual entry destroys data integrity — but as a reference for resolving discrepancies. Set the decommission date at the start and hold to it.

Decommissioning properly

Once validation passes and the parallel period closes, the old system needs a genuine end rather than an indefinite dormancy. That means confirming the archive of anything not migrated is complete and accessible, documenting where archived records live and how to retrieve them, securely destroying working copies and intermediate extracts, and closing off access.

A dormant legacy system with live credentials and no owner is a standing risk. Close it out deliberately.

A realistic timeline

Scope varies enormously, but the shape is consistent. Audit and scoping run two to four weeks. Cleanup is the variable — anywhere from two weeks to several months depending on what the audit finds. Extraction and mapping typically take two to four weeks, test migration and validation another two to four, and cutover itself is usually a matter of days.

The pattern worth noticing is that preparation dominates. Organisations that compress the audit and cleanup phases do not finish sooner; they discover the same problems later, under more pressure, with live claims attached.

What Elumina handles

Prior to go-live, Elumina creates your organisational structure in the system, imports employee details, payroll codes and allowances, obtains claims and payment history from your insurer or agent, and migrates data from existing injury management systems. All data is imported before go-live so the system is current and fully populated at start-up rather than filling gradually while your team works around the gaps.

If you are weighing a change and want to understand what your particular data would involve, our overview of injury management software covers the wider context, and QuickClaim sets out what the system does once your history is in it. For employers migrating into a Comcare environment, QuickClaim Comcare handles the additional national reporting requirements.

The migration is rarely the hard part. The preparation is — and it is entirely doable with a clear scope. Talk to our team about what your data looks like, or book a demo to see the destination first.