Technology can move from an idea to a working product remarkably quickly. Healthcare rarely moves at the same speed, and there are good reasons for that. A healthcare solution does not simply have to work; it has to be safe, useful, trusted, affordable and capable of fitting into the way care is actually delivered.

That difference in pace is one of the challenges I find most interesting about digital health.

The World Health Organisation reported in 2025 that adoption of digital health technologies by health and care workers remains slow, with barriers including infrastructure, training, workload, ethics, legal requirements and technical factors. The challenge, therefore, is not necessarily a lack of innovation. In many cases, it is the difficulty of moving innovation from technology into everyday healthcare practice.

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A Working Technology Is Not Necessarily a Useful Healthcare Solution

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Technology teams may focus on functionality, performance and technical capability. Healthcare professionals may be more concerned with patient safety, clinical usefulness, workflow and the amount of additional work a system creates.

Both perspectives are important.

A digital health platform may have impressive features, but if a doctor has to enter the same information into several systems, adoption becomes difficult. A medical device may collect valuable data, but if clinicians cannot access or interpret that information when they need it, its practical value is limited.

This is why I believe digital health solutions have to be designed around the people and environments in which they will actually be used.

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Interoperability Is More Than a Technical Issue

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Healthcare systems also have to deal with fragmented information.

The OECD reported in 2025 that although electronic health records are widely available across OECD countries, only about half of primary care practices participating in its PaRIS survey could exchange records electronically with other practices. The organisation also estimated that the potential value of interoperability could represent between 2.7% and 6.6% of health expenditure annually.

That makes interoperability more than an IT concern. When information cannot move effectively between systems, healthcare professionals may struggle to obtain a complete picture of a patient, while organisations lose opportunities to improve coordination, analytics and decision-making.

A system should therefore be assessed not only by what it can do independently, but also by how well it works within the wider healthcare environment.

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Implementation Is Not Adoption

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This is another distinction that is often overlooked.

A project can be successfully implemented and still fail to achieve its intended impact.

The software may be deployed. Staff may receive training. The project may even be declared complete. Yet if people find the system difficult to use, if it disrupts existing workflows, or if they do not see enough value in changing their habits, adoption will remain low.

This is why technology projects need to consider people, processes and technology together.

Training matters, but so do leadership, workflow design, infrastructure, governance and continuous feedback from users.

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The Business Case Matters Too

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Healthcare innovation also has to make sense beyond the technical and clinical dimensions.

Who will use the solution? 

Who will pay for it? 

Can the organisation support it after implementation? 

Can it integrate with existing systems? 

Does it solve a sufficiently important problem to justify the investment?

A technically impressive product without a sustainable operating model may struggle to move beyond a pilot.

From my experience working across technology, healthcare and business environments, I have found that these questions are often interconnected. A good digital-health solution needs technical feasibility, healthcare relevance and a realistic path to implementation and sustainability.

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Measure What Actually Changes

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One question should come much earlier in any digital-health project: What will actually be different if this technology succeeds?

Will waiting times reduce? Will information become easier to access? Will healthcare professionals spend less time on administrative work? Will patients gain better access to services? Will the organisation make better decisions using its data?

These outcomes matter more than simply counting downloads, registrations or system features.

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Finding the Space Between Innovation and Healthcare

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Technology will continue to move quickly. Healthcare will continue to demand evidence, safety, regulation and careful implementation. Neither side needs to become the other.

What is needed is better understanding between them.

Digital health succeeds when technical innovation is connected to real healthcare needs, supported by appropriate infrastructure and governance, and developed with the people who will use it.

The challenge is not simply making healthcare more digital. It is making digital technology work better for healthcare.

That space between innovation and implementation is where I believe some of the most important work in digital health still needs to happen.

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