Healthcare Software Development Company in Melbourne, built to ship.

Patient identity is the hardest problem in the building

Two records for one person is the defining healthcare data failure, and it happens through a misspelt name, a changed surname, a transposed date of birth. Once duplicated, a clinician sees half a history and does not know it. Master patient index and matching rules belong in the first architecture conversation, not in a later data-quality project.

Interoperability is the requirement behind the requirement

HL7 v2 is still everywhere and FHIR is what everything new expects, so most real systems speak both and translate between them. The translation layer is where the effort goes, because the two models disagree about how much structure a clinical fact has.

Audit is not logging

Who viewed which record, when, and under what justification. Access logging in healthcare is a legal artefact that gets read by an investigator, so it has to be immutable, queryable and complete, which is a different design from application logs that rotate away after thirty days.

Every field is a clinical safety decision

A dropdown that permits an implausible dose, a date picker that accepts a future birth date, a free-text field where a coded value was needed. Validation here is not input hygiene, it is the difference between a caught error and a delivered one.

Working overlap

3.5 hours a day

Same offset as Sydney. Morning-for-us, afternoon-for-them, about three and a half hours shared.

The law that applies

the Privacy Act 1988 and the Australian Privacy Principles

APP 8 accountability for overseas handling applies identically. Victorian public sector work adds its own protective data security standards on top.

Procurement

Slower and more documented than Sydney on institutional work, comparable on commercial.

Language

English throughout, Australian spelling.

Where the data can live

AWS ap-southeast-4 and Azure Australia Southeast are both in Melbourne, which matters more here than in Sydney because health and research clients frequently require data to stay in-state, not merely in-country.