A good idea is not enough. That is the blunt takeaway from a new study by researchers at Kaunas University of Technology (KTU) in Lithuania about digital health startup success. The researchers argue that the difference between companies that make it and companies that stall is not whether the concept sounds promising, but whether the team can secure the ingredients that let the idea actually work in the real world.

In this study, the most critical factors are access to data, access to health care institutions, and access to funding. In plain English: if you cannot get the right patient data, cannot partner with clinics or health care organizations, and cannot finance the build, pilot, and rollout, you do not have a business, even if you have a great pitch deck.

If you are an executive, investor, founder, or board member, this should hit like a reset button. Digital health is full of products that look impressive in a demo and struggle in deployment because the data needed to train, validate, and improve algorithms is hard to obtain. Health care institutions, meanwhile, are not just “customers.” They are also gatekeepers to workflows, patient populations, and outcomes. And none of it runs without funding, because pilots, integrations, compliance work, and iteration take time and money.

To understand why the study lands so firmly, it helps to zoom out to how digital health typically builds and sells value. Many digital health offerings depend on connecting to health records, generating insights from clinical data, and proving that those insights help with decisions, care pathways, or measurable outcomes. That immediately creates a dependency chain. Data access is not a “nice to have.” It is the raw material for building accuracy, monitoring performance, and showing impact. But data access is also hard because patient information is sensitive and regulated, and because institutions are cautious about how systems affect clinicians and patients.

Health care institutions are the other keystone. Even when a startup has the data, it still needs the environment where care actually happens. Integrations into clinical systems can be complex. Clinicians have to trust what the product recommends, ignore what it gets wrong, and incorporate it without breaking existing workflows. That is why partnerships with health care institutions matter so much. They help startups move from theory to practice, and they can also accelerate the feedback loop that improves product quality.

Funding, the third factor, acts like the enabler that turns everything else into momentum. Without capital, teams often cannot afford long pilot cycles, the technical work required to integrate with real health infrastructure, or the ongoing compliance effort that accompanies regulated environments. The study’s focus on funding signals something boards tend to learn the hard way: early money may cover development, but scaling inside health care requires sustained resources and patience.

There is also a second-order governance implication here. If a board is evaluating digital health, it should not treat data partnerships, clinical access, and financing as peripheral risks. They are core to execution. A “good idea” can win attention, but it does not automatically unlock data agreements, institutional buy-in, or capital sufficiency. That means diligence should be aimed at real-world readiness: What data can you access, under what conditions, and for what purposes? Which health care institutions are engaged and how? What is the funding plan for the timeline that clinical validation usually demands?

Even though the study is focused on what helps digital health startups succeed, the message generalizes to every executive trying to invest in or build in health tech. The strategic stakes are simple. If your company does not secure data, clinical partners, and funding, it is not just slower than competitors. It may never reach the point where evidence, integration, and outcomes can be demonstrated at all.

For peers in leadership roles, the actionable question becomes: do you have the access and capital that turn a promising concept into an operational product? The KTU research suggests that success is less about inspiration and more about logistics. Good ideas open doors. Access to data, health care institutions, and funding determines whether you walk through them and stay inside.