The Economic ROI of Digital Health Depends on Equity: and it is costing the UK economy billions

Digital transformation is routinely presented as a "silver bullet" for a health system under unprecedented demand and financial pressure. The narrative is powerful; remote monitoring, AI-driven diagnostics, and virtual wards will drive efficiency, reduce bed occupancy, and streamline workforce allocation.

However, greater efficiency in healthcare will not merely be achieved as a function of technology deployment; but as a function of adoption by those who consume the most resources.

Yet, we are digitising faster than we are including. By designing digital-first pathways that inadvertently exclude high-risk, high-need populations, we are creating a "digital inverse care law", where the availability of good digital care varies inversely with the need for it.

This is not just a moral failure; it also an economic and strategic error. The exclusion of complex populations from the benefits of digital health, we will be curbing the potential returns that the Treasury and health leaders so badly need.

To understand the business case for digital equity, we must first quantify the cost of the status quo. Health inequalities are not abstract social issues; they represent hard costs on the balance sheet of UK PLC.

The financial scale of this burden is staggering:

• Direct Healthcare Costs: The UK Health Security Agency (UKHSA) estimates that inequalities in infectious-disease hospital admissions alone cost the NHS between £970 million and £1.5 billion per year.
• System-Wide Impact: Wider economic analysis by Oxera Consulting LLP suggests that avoidable deaths and lost productivity linked to inequality cost around £7.7 billion annually.
• Total Burden: In round numbers, the burden of inequality on the health system sits safely between £7 billion and £10 billion each year.

However, the most significant economic costs sits outside the NHS budget. The Office of Health Economics estimates the economic cost of lost output among working-age people due to ill health is approximately £150 billion per annum. This is equivalent to 7% of GDP.

Because health inequalities dictate that the poorest socioeconomic groups suffer the highest burden of disease, these costs disproportionately fall on deprived areas. When we fail to manage the health of these populations effectively, we are not just straining the NHS; we are also reducing national economic productivity.

Digital health, in principle, offers the precise tools required to mitigate these costs. Remote patient monitoring, telehealth, and digital self-management apps are designed to prevent deterioration, identify risk earlier, and keep patients out of acute care settings.

However, for these tools to generate ROI, they must be used by the people driving the costs.

The populations most affected by inequality, and therefore costing the system the most, are the same populations most likely to live with multiple long-term conditions, lower health literacy, and barriers in access to care. They are also the most likely to face digital barriers.

According to the Good Things Foundation's Digital Nation 2024 report:

• 8.5 million adults lack the most basic digital skills.
• 2.4 million households struggle to afford their mobile contracts.
• 3.7 million families fall below the Minimum Digital Living Standard.

Here is the stark overlap: among those who lack basic digital skills, 25% have a disability or health condition, and 37% are aged 65 or over.

If your digital hypertension pathway requires a smartphone, reliable 5G, and high digital confidence, but the patients with the most uncontrolled hypertension lack all three, your innovation has failed. You have improved care for the "worried well" while leaving the high-cost patients to deteriorate until they require emergency intervention.

When those with greatest need cannot access the tools, we leave a significant amount of value undelivered.

We can break this down into three specific economic barriers:

1. The Failure of Preventative Economics

The economic logic of digital health is predicated on prevention. A £50 remote monitoring kit is cheaper than a £500 ambulance ride, which is cheaper than a £5,000 ICU stay. But if the patient cannot use the monitoring kit due to a lack of connectivity or skills, they will default to the "analogue" pathway: waiting until symptoms are critical and presenting at A&E. We then pay the premium price for care because we failed to invest in the equitable infrastructure for prevention.

2. The Fragmentation of Data

Data is the foundation of modern health systems. Population Health Management relies on complete datasets to accurately predict demand and allocate resources appropriately. When large swathes of lower-income, high-morbidity populations are digitally excluded, they become "data ghosts." Their health trends are invisible to the system until they hit the hospital door. This leads to inaccurate forecasting and reactive, inefficient resource allocation.

3. The Productivity Drag

Referring back to the £150bn cost of lost output: Digital health has a role in keeping people in the workforce by managing chronic conditions more flexibly. If a worker on a zero-hours contract cannot access a digital appointment and must take a day off (and lose pay) to visit a GP, they may delay care. Delay leads to exacerbation, which leads to long-term sickness and economic inactivity. Accessible digital health then becomes a workforce retention tool.

We must reframe our thinking. Equity is often treated as a "nice to have", a workstream to be looked at once the core product is launched. This thinking is shortsighted.

People in the most deprived areas have almost twice the rate of emergency admissions as those in the least deprived and account for a disproportionate share of avoidable cost. Delivering NHS efficiency targets require an ability to serve the bottom 20% of the socioeconomic spectrum. Improving outcomes for this cohort delivers the highest marginal return on investment the system can achieve.

NHS England's Inclusive Digital Healthcare framework explicitly warns that "digital-first" services without equitable access can increase demand elsewhere in the system. When digital routes become the default and in-person routes shrink, those excluded re-enter the system later and sicker.

Therefore, digital inclusion is not just a moral endeavour; it is a clinical and operational necessity.

We need to adopt a "Proportionate Universalism" approach to digital transformation, delivering services at a scale and intensity proportionate to the level of need.

1. Invest in the "Non-Digital" Infrastructure

It sounds counterintuitive, but successful digital health requires non-digital investment, the supportive network that sits around the digital tool. This means funding 'Digital Health Hubs' in community centers, libraries, and GP practices where patients can be unskilled or assisted in using devices. The NHS cannot just prescribe an app and expect everyone to use it, it must prescribe the support to make sure they can.

2. Co-Design with the Excluded

Most health tech is designed by the young, healthy, and wealthy, for the young, healthy, and wealthy. To stop leaving value on the table, procurement teams must mandate user testing with high-need and low skill groups. Does the user interface work for someone with tremors? Is the language accessible to someone with a reading age of 9? If the UI fails the user, the digital clinical pathway will fail both the user and the system.

3. Hybrid Pathways as Standard

For the foreseeable future, efficiency requires hybridity. We must recognise that forcing 100% digital pathways creates bottlenecks. By maintaining robust non-digital alternatives for the 5-10% who are truly digitally excluded, we ensure safety. Simultaneously, we must aggressively support the "middle 20%", those who could use digital tools if given the right support, encouragement, data connectivity, and confidence.

Organisations could start by:

1. Embedding equity metrics in every digital-health evaluation, tracking uptake and outcomes by age, deprivation, language, and disability.
2. Linking those metrics to cost and activity data to estimate avoided admissions and improved utilisation.
3. Publishing results transparently, even when progress is partial, to build a sector-wide evidence base.

Health inequalities cost the UK billions each year. The NHS is stretched beyond capacity. Digital health could ease both pressures, yet its benefits still bypass many of the people who would gain most.

NHS organisations have a statutory duty to reduce inequalities in access and outcomes. That duty extends to digital health. When digital tools fail to reach those with the greatest health burden, the result is predictable: preventable illness, higher emergency demand, and wasted investment.

Equity is not an ethical afterthought. It is the mechanism through which digital health delivers measurable return. Inclusion expands reach, strengthens uptake, and transforms the populations that drive the highest costs into those who generate system value.

Equity is cost recovery. Without it, we are digitising inefficiency, not solving it.