A Registry Framework Enabling Patient-Centred Care.

Area of Science:

• Health Informatics
• Clinical Data Management
• Patient Registry Systems

Background:

• Clinical decisions require high-quality patient phenotypic and physiological data.
• Patient registries are crucial for patient-centered care but often exist as isolated systems.
• Lack of data standards and interoperability hinders the harmonization of patient registries.

Purpose of the Study:

• To outline a disease registry framework for efficient national and international registry deployment.
• To enable dynamic modification of registries as requirements evolve.
• To facilitate the development of data standards and interoperability for patient registries.

Main Methods:

• Development of a flexible disease registry framework.
• Implementation of data standards and interoperability protocols.
• Introduction of a registry description language for template sharing.

Main Results:

• The framework supports dynamic registry evolution and modification.
• Patients can be seamlessly included in multiple registries.
• Registry curators can manage registries without external software developers.

Conclusions:

• The proposed framework addresses challenges in patient registry harmonization.
• It enhances the utility of information management systems for patient-centered care.
• It promotes efficient creation, management, and sharing of disease registries.