Data-centric approach; separation of data and functionality.

datum: 18-09-2023 Status: ADOPTED

 

Data-centric approach; separation of data and functionality. 

Data-centric approach with separation of data and functionality, has several advantages: 

• By decoupling the data from the specific functionality, the information about an individual's health can be tracked and managed throughout their lives. This provides valuable insights for healthcare providers, researchers and policymakers, and contributes to continuity and personalised care. 

• Improved flexibility and scalability. Separating data and functionality makes it easier to add new functionalities or modify existing functionalities without disrupting the underlying data. This increases the flexibility and scalability of the system and enables rapid adaptation in a changing health data landscape. 

• Reduced reliance on software vendors. By separating data and functionality, dependence on specific software suppliers is reduced. This makes it possible to be more independent and easier to switch to other systems or suppliers, which promotes competition and stimulates innovation. 

• Better data quality and consistency: Separating data and functionality in a persistent data platform based on systems intended to process data makes it possible to standardize, harmonize and control data for quality. This results in better data quality and consistency, increasing the reliability and usability of the data. 

• Increased collaboration and knowledge sharing: A data-centric approach encourages collaborations and knowledge sharing between healthcare institutions, software vendors, and other stakeholders. Sharing best practices, common roadmap development and reuse of solutions promote efficiency, innovation and synergy within the health data ecosystem. 

By implementing a data-centric approach with separation of data and functionality, these benefits can be realized, ultimately leading to better care, improved health outcomes and more value from health data.