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Related Experiment Videos

Mapping from a clinical data warehouse to the HL7 Reference Information Model.

Jason A Lyman1, Ken Scully, Steve Tropello

  • 1Dept. of Health Evaluation Sciences, School of Medicine, University of Virginia, Charlottesville, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
PubMed
Summary

This study maps clinical data from a local warehouse to the HL7 Reference Information Model (RIM), enabling better data sharing for research. This facilitates multi-institutional collaboration in biomedical research.

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Area of Science:

  • Biomedical Informatics
  • Health Data Standards

Background:

  • Effective clinical and biologic research relies on integrating large-scale data.
  • Standardized data representation and exchange are crucial for multi-institutional data sharing.

Purpose of the Study:

  • To explore the utility of the HL7 Reference Information Model (RIM) for representing data in an academic clinical data warehouse.
  • To develop tools for transforming local data schemas to standards-based conceptual models for information exchange.

Main Methods:

  • Mapping clinical concepts from a relational data warehouse.
  • Utilizing the HL7 Reference Information Model (RIM) as a target conceptual data model.

Main Results:

  • Initial efforts demonstrate the feasibility of mapping local clinical data to the HL7 RIM.

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  • Development of transformation tools is a necessary step for data exchange.

    • Conclusions:

    • Mapping local clinical data to the HL7 RIM is a foundational step for enabling multi-institutional data sharing.
    • Standardized data models like HL7 RIM are essential for integrating disparate biomedical data.