Clean data, better care: how data hygiene drives quality improvement in general practice

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QI Data

Every general practice in Australia has a practice management system, often holding decades of patient information. But how much of that data is actually complete, up to date, and genuinely useful?

In our experience working with practices across the country, the answer is often less than you’d expect. And the consequences aren’t just administrative. Gaps in patient records directly impact the quality and continuity of care your team delivers every day.

The link between data and patient outcomes

When a patient’s record is missing key demographic or clinical information, clinicians are making decisions without the full picture. Information such as ethnicity, preferred language, smoking status, family history, or chronic condition indicators all inform clinical decision-making. Without them, care becomes reactive rather than proactive.

Consider a patient with an unrecorded chronic condition. Without that flag in the system, they may not appear on the practice’s chronic disease register. That means they’re not being recalled for regular care plan reviews, health assessments, or preventive screening. They’re not falling through the cracks because of a clinical oversight. They’re falling through because the data wasn’t there in the first place.

Now multiply that by dozens or hundreds of patients. Across a practice cohort, incomplete data creates systemic gaps in care that are invisible until someone goes looking.

What data hygiene looks like in practice

Data hygiene doesn’t mean perfection. It means having a systematic approach to keeping patient records accurate, complete, and up to date.

For practice managers, this starts with understanding where the biggest gaps are. Which demographic fields have the lowest completion rates? Which patient cohorts are most affected? What’s the practice’s ethnicity recording rate compared to the RACGP standard?

Under the RACGP Standards for General Practices (5th edition), criterion QI 2.1 requires that at least 75% of active patient health records contain a current health summary. This summary should capture key details such as ethnicity and cultural background. The draft 6th edition goes further, proposing that demographic records also include assigned sex at birth, gender, and pronouns.

These aren’t arbitrary requirements. They exist because better data and deeper context with patients leads to better care.

Ethnicity recording: a quality improvement initiative worth prioritising

Of all the data hygiene improvements a practice can make, ethnicity recording is both impactful and relatively straightforward. It’s why ethnicity recording is the featured activity in Cubiko’s quality improvement calendar for February, giving practices a timely prompt to focus on this area.

When clinicians know a patient’s cultural background, they can better tailor screening, communication, and referral pathways accordingly. Some populations have a higher prevalence of specific conditions including cardiovascular disease, type 2 diabetes, thalassaemia, and particular cancers. Having ethnicity recorded allows clinicians to apply evidence-based screening frameworks, rather than relying on generic guidelines that may overlook the varying needs of different ethnic backgrounds.

It also supports culturally safe care. When a practice understands the cultural makeup of its patient population, it can invest in interpreter services, develop culturally appropriate resources, and create an environment where patients feel recognised and understood. The RACGP Standards are clear on this point: understanding the demographics and cultural backgrounds of your patients helps you provide the most appropriate care.

For Aboriginal and Torres Strait Islander patients, accurate identification is especially important. It opens access to targeted health programs, including the annual health check (MBS item 715), one of the most comprehensive preventive health tools available. Many eligible patients are missing out simply because their Indigenous status hasn’t been recorded. This represents a lost opportunity for early detection and timely intervention.

Reliable ethnicity data also strengthens a practice’s relationship with its broader community. Primary Health Networks use demographic data to plan services, allocate resources, and design targeted health programs. Practices with reliable ethnicity data are better positioned to advocate for their patient population and participate in funded initiatives that directly benefit the people they serve.

And it’s worth noting: the conversation itself is a positive one. When reception and clinical staff frame the question as “we ask everyone this so we can make sure you’re receiving the best possible care,” patients generally respond well. It signals that the practice sees them as individuals.

Making it practical

Quality improvement works best when it becomes part of everyday workflows rather than an extra task layered on top.

A sensible starting point is to audit current completion rates and set realistic goals, you may consider focusing on one demographic item at a time, and cycle through new goals in a regular routine, so patients and reception staff do not get fatigued. Improving ethnicity recording takes time, and a PDSA (Plan-Do-Study-Act) cycle provides clear structure and accountability without overwhelming the team.

Reception teams are best placed to capture and verify demographic data, during check-in, new patient registration and at billing post-consult. Equipping front desk staff with simple, respectful scripts removes the hesitation and makes these conversations feel more comfortable for everyone involved.

Tracking progress matters too. When practices can see their ethnicity recording rate improving month by month, the initiative gains momentum. As the team starts to see the flow-on effects, patients being identified for health assessments they would otherwise have missed, chronic condition cohorts being managed more proactively, population health insights becoming clearer, data hygiene stops feeling like a chore and starts feeling like a genuine contribution to patient care.

The bigger picture

Data hygiene is ultimately about creating the conditions for better care. Accurate and complete patient records help clinicians to individualise care, enable practices to identify and address health gaps across their population, and support the quality improvement activities that underpin accreditation.

The financial benefits, including appropriate billing for health assessments, care plan items, and incentive payments, tend to follow naturally when the clinical foundations are in place. These outcomes matter, but they’re a by-product of good care, rather than the primary driver.

For practice managers, data hygiene is one of the most tangible levers you have to improve patient outcomes at scale. It doesn’t require new technology or additional staff. It requires attention, consistency, and a commitment to getting the basics right.

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Bryn Tardent-Powell