Standardising data at INSZO
Cities | Public Services  x  Cloud, Data
INSZO works with large volumes of medical data originating from various healthcare organizations. In a previous project, Heroes supported INSZO in building a scalable Azure data platform for processing general practitioner data. After completing that trajectory, a new question arose: how do we ensure that medical data is not only processed in a scalable way, but also standardized and of high quality? This follow-up project focused on standardizing medical data according to the FHIR standard, with an initial focus on pharmacy data.
The situation
The existing data platform functioned well and provided a solid foundation for further growth. At the same time, INSZO noticed that the quality and structure of incoming data varied greatly, as the data originated from many different sources and parties.
These differences made it difficult to:
- interpret data in a uniform way
- structurally improve data quality
- implement future expansions easily
The need was therefore clear: one standardized way of capturing medical data, regardless of its source. Standardization was the key to gaining control over data quality, structure, and long-term sustainability.
The solution
INSZO chose the FHIR standard (Fast Healthcare Interoperability Resources) as the foundation for medical data. This international standard provides a fixed structure for storing and exchanging healthcare information.
Heroes supported INSZO by:
- setting up the appropriate infrastructure
- translating existing data sources to the FHIR standard
- developing transformation templates and automated conversion tools
From a technical perspective, Azure Health Data Services was used, in which FHIR is available as a service. By automatically converting data to a single standard, a consistent data structure was created that is easier to manage and control.
An important effect of this approach is that data processing becomes less dependent on differences between data-providing parties. The standard provides a clear framework for dealing with a wide variety of data sources.
The three key takeaways for every company
Control over quality – A fixed data structure ensures that data quality is no longer dependent on the source, but can be monitored and improved centrally.
Scalable collaboration – By decoupling data from individual organizations, it becomes easier to connect new parties without requiring additional custom development.
Reliable data – Once the platform is in place, the added value shifts from “being able to process data” to “being able to trust and use data.” Standardization makes this step possible.
This project demonstrates how INSZO is working step by step toward a future-proof data landscape, in which standardization plays an increasingly important role. While the earlier project focused on building a scalable data platform, this phase concentrated on bringing structure to medical data. By choosing a shared standard, greater consistency is created in how data is captured and used. This makes the data process more transparent and creates room for further development, without repeatedly having to make decisions about structure and interpretation. The FHIR standard therefore forms a strong foundation for continued growth.
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