Skip to main content

Case Study: Dutch Healthcare

Learn how the Particular Platform helped Amit, Marco and their team to deal with the complexities they had to deal with for a project in the Dutch Healthcare sector.

The Dutch healthcare system is renowned for its efficiency, accessibility, and quality of care. Behind the scenes, there is considerable complexity in determining patient eligibility and contributions, and coordinating with multiple government and healthcare provider systems. Building the systems used to deliver these services presents significant challenges. In this case study, we explore how software consultants Amit Oemraw and Marco Glasbergen used the Particular Service Platform to overcome these challenges and deliver a system that plays a critical role in maintaining the high standard of service for which the Dutch healthcare system is known.

The system

A critical component of the Dutch healthcare system is the social insurance model, which ensures that all residents have access to healthcare services. The government provides subsidies to ensure affordability and mandates coverage of essential health services. These services are managed by different entities, and the system acts as an intermediary between them. It determines patient contributions, coordinates with healthcare providers, and integrates with other government agencies to ensure that patients receive the care to which they are entitled.

The system was launched in 2020 and plays a crucial role in the Dutch healthcare framework by managing patient contributions and coordinating with healthcare providers and government agencies. Its ability to process €40 million in claims monthly and handle up to 250,000 messages daily is a testament to its robust design, which addresses key challenges such as data consistency, interoperability, and real-time synchronization. The system is maintained by a team of up to 8 developers.

Objectives

Given the complexity of the healthcare ecosystem, the objectives were clear:

  • Enhance interoperability to manage the large volume of transactions between entities
  • Improve data consistency across diverse systems to ensure real-time synchronization
  • Maintain the system’s flexibility for continuous evolution in response to policy changes, at a reasonable cost