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CCR+: Metadata Based Extended Personal Health Record Data Model Interoperable with the ASTM CCR Standard.


ABSTRACT:

Objectives

Extension of the standard model while retaining compliance with it is a challenging issue because there is currently no method for semantically or syntactically verifying an extended data model. A metadata-based extended model, named CCR+, was designed and implemented to achieve interoperability between standard and extended models.

Methods

Furthermore, a multilayered validation method was devised to validate the standard and extended models. The American Society for Testing and Materials (ASTM) Community Care Record (CCR) standard was selected to evaluate the CCR+ model; two CCR and one CCR+ XML files were evaluated.

Results

In total, 188 metadata were extracted from the ASTM CCR standard; these metadata are semantically interconnected and registered in the metadata registry. An extended-data-model-specific validation file was generated from these metadata. This file can be used in a smartphone application (Health Avatar CCR+) as a part of a multilayered validation. The new CCR+ model was successfully evaluated via a patient-centric exchange scenario involving multiple hospitals, with the results supporting both syntactic and semantic interoperability between the standard CCR and extended, CCR+, model.

Conclusions

A feasible method for delivering an extended model that complies with the standard model is presented herein. There is a great need to extend static standard models such as the ASTM CCR in various domains: the methods presented here represent an important reference for achieving interoperability between standard and extended models.

SUBMITTER: Park YR 

PROVIDER: S-EPMC3950264 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

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Publications

CCR+: Metadata Based Extended Personal Health Record Data Model Interoperable with the ASTM CCR Standard.

Park Yu Rang YR   Yoon Young Jo YJ   Jang Tae Hun TH   Seo Hwa Jeong HJ   Kim Ju Han JH  

Healthcare informatics research 20140131 1


<h4>Objectives</h4>Extension of the standard model while retaining compliance with it is a challenging issue because there is currently no method for semantically or syntactically verifying an extended data model. A metadata-based extended model, named CCR+, was designed and implemented to achieve interoperability between standard and extended models.<h4>Methods</h4>Furthermore, a multilayered validation method was devised to validate the standard and extended models. The American Society for Te  ...[more]

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