What is Data Minimization?
Data Minimization, the principle of processing only necessary data.
In terms of architecture and integration
Data minimization is related to the goal of enabling systems to share data securely and consistently within health software architecture (Health Software Architecture); it is considered alongside standards such as HL7 and FHIR.
Practical framework
Compliance with KVKK; data minimization is addressed together with consent management and traceability.
In summary
In summary, data minimization is one of the building blocks that constitute the digital maturity of a healthcare institution; it is an approach that generates value when properly structured, rather than just a singular tool.
To see this concept in context, you can refer to the Health Software Architecture guide, and return to the Digital Dictionary page for other terms.
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What is data minimization?
The principle of processing only necessary data.
What role does data minimization play in system integration?
Data minimization is related to the ability of systems to share data securely and consistently; it is evaluated alongside standards such as HL7 and FHIR.
Under what heading is data minimization evaluated?
Data minimization is addressed under the heading of Software Architecture in the context of health information systems and digital transformation.