The healthcare industry is entering a new phase
Healthcare has been going digital for years, but what’s happening now feels different. The scale has changed. Expectations have changed. And most importantly the way products are built is changing. Over 55% of healthtech funding is now directed toward AI-driven companies, signaling a massive shift in priorities for investors and innovators1. At the center of this shift is one thing: healthcare system integration.
Instead of standalone tools, we’re seeing more and more connected systems, where telemedicine, data processing, medical devices and analytics all need to work together.
For companies in the DACH region, this creates a very practical challenge. It’s no longer just about building something that works. It’s about building something that integrates with an already complex healthcare environment.
Telemedicine as part of an integrated system
Telemedicine used to be treated as a standalone product. For many companies, offering online consultations was already enough to build a viable solution.
Right now, it plays a different role. It’s usually just one part of a much larger system that also includes patient data, integrations with medical devices, analytics, and increasingly AI-based support for doctors and patients. From a product perspective, this means one thing: integration is no longer an afterthought.
Healthcare system integration is where complexity shows up
Healthcare software rarely operates on its own. Even relatively simple products need to exchange data with multiple external systems – hospital infrastructure, EHRs, third-party services or medical devices.
This is where healthcare system integration becomes the most demanding part of the project.
Integrations are not just about connecting APIs, they involve data consistency, security, synchronization and handling edge cases that only appear at scale. A good example of this kind of work is the project delivered by fireup.pro for Roche Group during the integration of the diabetes platform mySugr.
The focus was on enabling stable communication between Continuous Glucose Monitoring (CGM) devices and the application, making sure that patient data flows reliably and can be used both in the app and in analytics.
At the same time, the team built a data platform based on AWS Redshift, which allowed combining data from different regions and turning it into usable insights.
🚀 Full case study: https://fireup.pro/case-studies/mysugr
This is what healthcare system integration looks like in practice not a single connection, but an architecture that holds everything together.
Integrated systems naturally evolve into data platforms
Projects like mySugr naturally evolve beyond the scope of a typical app. Once you start dealing with continuous data streams from devices and users, you need a system that can collect, process and scale. That’s when applications become data platforms. This shift is visible across the industry and directly impacts how healthcare system integration is designed.
Companies are investing more in backend architecture, cloud infrastructure and data processing pipelines, because that’s what determines whether the product will still work when usage grows.
AI depends on well-integrated systems
AI is currently one of the strongest trends in healthcare, but in real projects it rarely comes first. Before any model can deliver value, the underlying system needs to be stable and well-structured. Data has to be accessible, consistent and properly integrated. Without proper healthcare system integration, AI doesn’t solve problems 👉 it exposes them.
This is why many teams are shifting focus from “adding AI features” to building systems that can actually support them long-term.
Why experienced teams matter in healthcare system integration
There’s a lot of discussion around how AI tools will speed up development and reduce the need for senior engineers. In healthcare system integration projects, that doesn’t really hold up. If anything, the complexity of projects is increasing. Integrations, compliance, data processing – these are areas where experience matters more, not less.
Working on healthcare systems means dealing with sensitive data, strict regulations and infrastructure that needs to be reliable at all times. This is where senior developers and experienced teams make a visible difference. Not in how fast they write code, but in how they design systems that don’t break later.
Building fast without breaking integration
Healthcare startups often operate under pressure. They need to validate ideas quickly, enter the market and show traction. At the same time, they can’t afford instability or shortcuts that will block further development. That’s why MVP development in healthcare needs to be tightly connected with future integration requirements.
The Mentalyc project is a good example here. Instead of focusing only on feature delivery, fireup.pro implemented a test automation framework, which helped the team increase release speed while maintaining high quality and stability.
🚀 Full case study: https://fireup.pro/case-studies/mentalyc
This kind of approach allows startups to move faster without introducing long-term risks 👉 especially in systems where integration plays a critical role.
Medical devices require deep integration with software
Another noticeable shift is how closely software is now tied to medical devices. Solutions like CGM systems, wearables or diagnostic tools don’t function independently anymore. They are part of larger ecosystems where data needs to be processed, analyzed and integrated. This makes healthcare system integration a key component of any solution involving medical devices.
Again, the mySugr project is a clear example. The real value came from how device data was handled and used, not from the device alone.
What it takes to succeed in DACH
The DACH region has strong demand for digital health solutions, but also strict regulatory requirements and often complex existing infrastructure. In practice, this means that companies need to approach healthcare system integration differently.
It’s not just about connecting systems. It’s about designing solutions that:
🚀 work with existing infrastructure,
🚀 meet compliance requirements,
🚀 scale without major redesign.
Closing thought
Healthcare is moving toward connected systems rather than standalone products. And healthcare system integration is becoming the foundation of this shift. AI will continue to grow in importance, but it won’t replace the need for solid architecture and experienced teams.
If anything, it makes them even more critical.
- https://www.bvp.com/atlas/state-of-health-ai-2026? ↩︎
