Digital health has been framed as a solution to many of Australia’s healthcare pressures including distance, workforce shortages, rising demand and system inefficiency. Telehealth, remote monitoring, patient portals and AI-enabled triage tools are now embedded across hospitals, general practice and community services.

But alongside this expansion sits a harder question: are we improving equity — or quietly widening the gap?

While digital health can dramatically increase access for some Australians, it can simultaneously create new barriers for others. The impact depends less on the technology itself and more on how it is designed, implemented and supported.

Telehealth: A Breakthrough for Rural and Remote Australia

For rural and remote communities, telehealth has been transformative. Patients who once travelled hours for specialist appointments can now access care from home or from local health services supported by video consultations.

For many patients, this shift has meant that specialist advice can be obtained sooner and care can be coordinated more effectively across long distances.

Government-backed telehealth expansion during and after COVID-19 has helped reduce:

• Travel burden
• Delayed specialist review
• Costs associated with transport and accommodation
• Missed work or caregiving time

For regions in Far North Queensland, remote Western Australia and parts of the Northern Territory, virtual care has improved timeliness of care and continuity with metropolitan specialists.

Yet even here, equity is not automatic. Telehealth relies on stable connectivity, private spaces, and digital literacy, conditions that are not evenly distributed.

The Digital Literacy Divide

Digital systems assume confidence with:

• Email and SMS links
• App downloads
• Online portals
• Device troubleshooting

For many older Australians, newly arrived migrants, and some culturally and linguistically diverse (CALD) communities, these steps can be significant barriers.

A patient may:

• Miss appointment links
• Struggle to upload required information
• Feel embarrassed asking for help
• Avoid care altogether

Equity concerns deepen when digital access becomes the “default” rather than one option among many. When services assume digital readiness, those without it risk becoming invisible.

Broadband Inequality: Infrastructure as a Health Determinant

Digital health depends on infrastructure. Broadband quality varies substantially across Australia, particularly in regional and remote communities.

Unstable connections disrupt:

• Clinical assessment
• Rapport-building
• Visual examination
• Interpretation services

For Aboriginal and Torres Strait Islander communities in remote regions, connectivity challenges can compound existing health disparities. Digital health promises improved access, but without reliable infrastructure, the promise becomes conditional.

In this way, broadband access increasingly functions as a social determinant of health.

Accessibility for People Living with Disability

Digital platforms can either empower or exclude people with disability.

Well-designed systems can include:

• Screen reader compatibility
• Captioned video consultations
• Adjustable font sizes
• Simplified interfaces
• Alternative communication pathways

Poorly designed systems can create:

• Navigation barriers
• Incompatibility with assistive technologies
• Cognitive overload
• Exclusion from self-management tools

Inclusive design is not an optional add-on. Under Australian disability and discrimination frameworks, accessibility must be embedded from the outset, not retrofitted.

AI and Dataset Bias: The Hidden Risk

AI tools are increasingly used in:

• Risk stratification
• Imaging interpretation
• Documentation support
• Predictive modelling

However, AI systems learn from existing datasets. If those datasets underrepresent certain populations, such as Indigenous Australians, culturally diverse communities, or people in rural settings, the outputs may reflect bias.

This can occur when algorithms are trained primarily on data drawn from large metropolitan hospitals or more digitally engaged patient groups, meaning the resulting models may not perform as accurately for people whose health profiles, living conditions or patterns of care differ from those represented in the training data.

Globally, studies have shown algorithmic bias in clinical tools that:

• Underestimate disease risk in minority populations
• Misclassify patients
• Embed historical inequities into future decision-making

In Australia, oversight guidance from bodies such as the Australian Digital Health Agency, through its Clinical Governance Framework for Digital Health, emphasises that emerging technologies, including AI, must be clinically safe, evidence-based and subject to strong governance. But technical safety is only part of the story. Equity auditing, examining who benefits and who may be disadvantaged, is equally essential. Without deliberate monitoring, AI risks becoming a quiet amplifier of existing inequities.

Designing Digital Systems for Inclusion

Equitable digital health does not happen accidentally. It requires intentional design decisions at every stage:

1. Co-design with diverse communities

Engaging patients from rural, CALD, disability and Indigenous communities during system development.

2. Multiple access pathways

Maintaining phone, in-person and assisted-digital options alongside portals and apps.

3. Clear language and culturally safe communication

Avoiding jargon-heavy interfaces and ensuring culturally appropriate engagement and clear communication for diverse communities.

4. Digital support roles

Some services have introduced digital navigators or support staff to help patients access portals and telehealth platforms.

5. Monitoring usage data by demographic factors

Tracking who is using digital services, and who is not, allows early identification of inequity patterns. What Australian Services Are Doing Across Australia, health services are beginning to respond proactively.

Examples include:

• Hybrid care models that allow patients to choose virtual or in-person appointments.
• Remote patient monitoring programs supported by clinician follow-up rather than fully automated escalation.
• Community-based telehealth hubs that provide devices and connectivity in regional areas.
• Cultural liaison officers integrated into digital service pathways.

The Australian Digital Health Agency’s National Digital Health Strategy 2023–2028 explicitly prioritises interoperability and inclusive access, aiming to create a connected, digitally enabled health system that guarantees equitable access regardless of geography or socioeconomic status.

The Risk of “Efficiency First” Thinking

Digital health initiatives are often driven by efficiency goals: reduced waiting times, streamlined documentation, lower administrative burden.

Efficiency matters. But when efficiency becomes the primary driver, equity can become secondary.

Questions leaders should ask include:

• Who might struggle with this system?
• What assumptions are we making about digital readiness?
• Are we measuring equity outcomes, or only throughput?
• Do we have a fallback pathway when digital fails?

The absence of these questions can unintentionally widen gaps.

Moving from Access to Justice

Digital health undeniably expands access for many Australians. For a farmer in remote NSW, a parent juggling multiple jobs, or a patient managing chronic illness at home, virtual care can be life-changing.

But equity is not measured by the average benefit. It is measured by who is left behind.

A truly inclusive digital health system recognises that:

• Technology is a tool, not a solution.
• Infrastructure is part of healthcare.
• Design choices carry ethical consequences.
• Data must be scrutinised for bias.
• Multiple access pathways protect dignity and safety.

As digital health continues to expand across Australia, the question is no longer whether we digitise. It is whether we digitise thoughtfully.

The future of digital health will not be defined by how advanced the technology becomes, but by whether it reduces rather than reinforces structural inequality. Achieving this will require deliberate design choices, ongoing evaluation and a commitment to ensuring that innovation benefits all communities, not just those already well served by the health system.