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Related Experiment Videos

The standard data model approach to patient record transfer

K Canfield1, M Silva, K Petrucci

  • 1Laboratory for Healthcare Informatics, University of Maryland, UMBC.

Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1994
PubMed
Summary

This study presents a method for electronic patient record exchange using a standard data model (IDEFIX). This enables detailed data sharing between Ambulatory Encounter Systems (AESs) with minimal programming.

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Area of Science:

  • Health Informatics
  • Database Management
  • Electronic Health Records

Background:

  • Electronic data exchange of patient records is crucial for healthcare.
  • Ambulatory Encounter Systems (AESs) often lack standardized data models.
  • Interoperability challenges hinder seamless patient data sharing.

Purpose of the Study:

  • To develop an approach for electronic data exchange of patient records from AESs.
  • To demonstrate the feasibility of using a standard data model for interoperability.
  • To facilitate detailed patient data sharing between different healthcare sites.

Main Methods:

  • Utilized the IDEFIX data modeling standard for Entity/Relationship (E/R) modeling.
  • Assumed the Ambulatory Encounter System (AES) is based upon a standard data model.

Related Experiment Videos

  • Leveraged relational database implementations of the standard data model.
  • Designed an approach for data exchange between the Baltimore Veterans Affairs Medical Center (BVAMC) and the University of Maryland's Laboratory for Healthcare Informatics (LHI).

    • Main Results:

    • Developed a feasible approach for electronic data exchange of patient records.
    • Demonstrated that sites using a standard data model can exchange detailed patient data.
    • Showcased the use of industry-standard tools for data interoperability.
    • Achieved data exchange without excessive programming efforts.

    Conclusions:

    • An approach based on a standard data model (IDEFIX) enables effective electronic patient record exchange.
    • Detailed patient data can be shared between different Ambulatory Encounter Systems (AESs).
    • Industry-standard tools and relational databases facilitate interoperability, reducing programming burden.