Using practice data to improve health and business outcomes – a win-win approach

Back to Our thinking

Practices need to constantly focus on the future: to ascertain how to better care for patients with complex and chronic health care needs, as well as maintaining financial sustainability in an ever-changing economic environment. More proactive and effective use of clean, current and accurate practice data can support practices in improving health outcomes for their communities as well as improve business efficiency and ensure the sustainability of the practice workforce.

How Can Practice Data Improve Healthcare Outcomes?

Practice data can help general practices identify patient needs, monitor chronic disease management and improve the delivery of primary healthcare. Practice data analysis can reveal gaps in preventive care, follow-up and health assessments, allowing teams to identify patients who may benefit from additional support. For Larter, effective use of accurate and current data is also an important part of population health planning, helping practices make evidence-based decisions about services, workforce and patient care.

The quality of patient care is as good as the quality of practice data and how this data is used. Practice data provides important population health information that can be used to target specific health issues or populations in the community, and to measure improvement over time. While primary health care staff may be aware of this, it is important to reflect on what implications data usage has for patients’ health as well as business processes.

Identifying diabetic patients or all patients over 75 years for example, enables practices to follow up on care plans, diabetic annual cycles of care, and/or health assessments to ensure they are complete and up to date. This has clear health benefits for patients to ensure effective health management, but is also beneficial to the practice as opportunities may be identified to improve the billing of Medicare item numbers to support this work, and the data may provide evidence to support further funding.

Using Practice Data for Chronic Disease Management

Data can provide practices with a clearer picture of their chronic disease management needs. Reviewing patient numbers, care plans, health assessments and follow-up activity can help teams identify service gaps and opportunities to improve continuity of care. Practice data can also highlight relevant Medicare billing opportunities while providing evidence to support workforce planning and changes to service delivery. This connects patient care priorities with the operational requirements of a sustainable general practice.

Identifying the number of patients requiring respiratory support and education for a chronic lung condition and the need for care planning with team care arrangements may influence the practice’s business model. Data on patient numbers, type of care needed, care planning, follow-up care and reviews may determine that service delivery models need to change. Staff numbers, ratios or staff mix may need review (for example, could the practice use another nurse or allied health staff member?) or the practice data may provide evidence to support a business case for a CDM nurse clinic.

There are also a number of important broader implications for improving the use of practice data, such as reducing hospitalisations, increasing revenue to support staff positions, practice viability and strategic planning and preparing practices for PHN commissioning and other alternative funding opportunities.

Turning Practice Data Into Better Business Decisions

Effective practice data analysis can support more than clinical decision-making. General practices can use data to assess service demand, workforce requirements, revenue opportunities and areas for improvement. Reviewing these indicators regularly can support practice performance and long-term sustainability while helping teams respond to changing community needs. Larter Consulting can assist practices to use relevant data to inform strategic planning, service improvement and practical business decisions.

If you are interested in further discussion about the use of practice data to improve health and business outcomes, contact us to organise a workshop with us or give us a call.

Conclusion

Practice data can provide general practices with valuable insight into patient needs, service demand, workforce requirements and business performance. When data is accurate, current and reviewed consistently, it can help practices identify opportunities to improve care while making more informed operational decisions.

Using practice data effectively also creates a stronger connection between clinical priorities and practice sustainability. From monitoring chronic disease care to identifying opportunities for service improvement, data can support practical decisions about resources, staffing and future service models.

For Larter, the effective use of practice data is part of a broader approach to general practice support, helping practices turn information into practical actions that strengthen patient care and long-term sustainability.

Frequently Asked Questions

Practices may monitor patient demographics, chronic disease indicators, preventive care, health assessments, service utilisation, Medicare activity, staffing requirements and follow-up activity. The most useful measures depend on the practice’s objectives and patient population.

The appropriate review frequency depends on the type of data and the purpose of the analysis. Some indicators may benefit from regular monitoring, while broader performance and service reviews can be conducted periodically to identify trends and emerging needs.

Yes, Patient data can help practices identify people who may be due for health assessments, chronic disease reviews, preventive care or other follow-up activities. Appropriate use of this information can support more proactive patient management.

Data about patient demand, service activity and care requirements can help practices assess whether their current workforce structure is appropriate. This may inform decisions about staffing levels, skill mix, nursing capacity or access to allied health professionals.

Yes, Data can provide evidence about patient numbers, unmet needs, service demand and potential utilisation. This information can help practices develop a more evidence-based case when considering new clinics, workforce roles or changes to service delivery.