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A medical device domain analysis model based on HL7 RIM
Daniela Luzi1, Fabrizio Pecoraro, Gregorio Mercurio
1Institute of Research on Population and Social Policies (IRPPS), National Research Council, 00100 Rome, Italy. d.luzi@irpps.cnr.it
Developing a common language for medical device (MD) clinical investigations (CIs) is crucial for interoperability. The MEDIS system uses Health Level 7 (HL7) standards to manage MD clinical investigations, ensuring data consistency and system integration.
Area of Science:
- Medical device regulation
- Health informatics
- Clinical investigation management
Background:
- Clinical investigations (CIs) are essential for demonstrating medical device (MD) safety and efficacy.
- Multiple stakeholders in CIs necessitate a standardized language for semantic interoperability.
- Existing systems often lack flexibility and interoperability for managing complex CI data.
Purpose of the Study:
- To present the design of the MEDIS information system for managing MD clinical investigations.
- To demonstrate the application of Health Level 7 (HL7) v.3 standards for enhanced interoperability.
- To introduce the Medical Device Data Access Model (MD DAM) based on HL7 Reference Information Model (RIM).
Main Methods:
- Designing an information system (MEDIS) based on HL7 v.3 standards.
- Applying the HL7 Reference Information Model (RIM) to structure medical device data.
- Developing a Medical Device Data Access Model (MD DAM) for semantic interoperability.
Main Results:
- The MEDIS system design incorporates HL7 v.3 standards for flexibility and interoperability.
- A novel MD DAM has been developed, grounded in the HL7 RIM.
- The proposed design facilitates semantic interoperability among diverse stakeholders in MD clinical investigations.
Conclusions:
- The MEDIS system, utilizing HL7 standards, provides a robust framework for managing medical device clinical investigations.
- The MD DAM enhances data consistency and facilitates information exchange.
- Adoption of HL7 standards is key to achieving semantic interoperability in the complex field of medical device research.
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