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An Open Architecture for the Secondary Use of Real World Data from Large Interoperable Health Records
Patrick Mangesius1,2, Thomas Schabetsberger1,2, Karl Kreiner3
1Siemens Healthcare Diagnostics GmbH, Austria.
This study proposes a new architecture for collecting real-world data from electronic health records (EHRs) for research. It addresses challenges in data access and privacy, supporting initiatives like the European Health Data Space (EHDS).
Area of Science:
- Health Informatics
- Medical Research
- Data Science
Background:
- Electronic Health Records (EHRs) are vital for medical research, but data collection faces challenges.
- Patient data donation is increasingly important, especially within the European Health Data Space (EHDS).
- Current methods struggle with subject recruitment and data quality for secondary data use.
Purpose of the Study:
- To propose a scalable, open architecture for collecting real-world data from EHRs for secondary use.
- To facilitate efficient and secure access to valuable health information for research purposes.
- To support the goals of the European Health Data Space (EHDS) framework.
Main Methods:
- Assessed current EHR technologies, operational readiness, and interoperability standards in the EU.
- Conducted a literature search to identify related work and inform the architecture design.
- Developed an open architecture based on established interoperability standards.
Main Results:
- An open architecture integrating IHE and FHIR interoperability standards is proposed.
- The architecture is designed for seamless integration into existing, standards-based EHR systems.
- It incorporates mechanisms for managing patient consent and data privacy zones.
Conclusions:
- The proposed architecture offers a scalable solution for secondary use of EHR data.
- It enhances data accessibility for research while respecting patient privacy and consent.
- This framework supports the advancement of personalized medicine and public health initiatives.
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