Health Identifiers

Accurate patient identity matching

Duplicate patient records cause medication errors, missed results, and billing issues. In Australia, IHI-based matching is the gold standard — but implementation requires careful workflow design.

Common challenges

What teams struggle with

Duplicate registrations

Patients register multiple times with slight name or address variations.

Legacy data without IHIs

Older records lack IHIs, making automated matching harder.

Merge vs link decisions

Teams need clear rules for when to merge records versus maintaining a master patient index.

Privacy during deduplication

Matching algorithms must comply with Australian Privacy Principles.

How we help

Practical solutions that ship

IHI-first matching

Use HI Service lookups as the primary matching key, with demographic fallback.

Probabilistic matching

Confidence-scored matching with human review for borderline cases.

Merge workflows

Safe merge procedures that preserve clinical history and audit trails.

Ongoing deduplication

Scheduled scans to catch new duplicates as data enters the system.

Frequently asked

Questions about patient identity matching

Can you clean up our existing duplicates?

Yes. We assess your data, run matching algorithms, and implement merge workflows with clinical team oversight.

Need help with this?

Tell us where you're stuck. We'll give you an honest assessment — no sales pitch, just healthcare technology expertise.