Evidence map›Paper›PMID 24627817›Full record

ArticleHealthcare informatics research2014

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

Yu Rang Park, Young Jo Yoon, Tae Hun Jang, Hwa Jeong Seo, Ju Han Kim

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Article in Healthcare informatics research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yu Rang ParkDepartment of Biomedical Informatics, Asan Medical Center, Seoul, Korea.
Young Jo YoonSeoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea.
Tae Hun JangSeoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea.
Hwa Jeong SeoMedical Informatics, Graduate School of Public Health, Gachon University of Medicine and Science, Incheon, Korea.
Ju Han KimSeoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea. ; Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesExtension 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.

methodsFurthermore, 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.

resultsIn 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.

conclusionsA 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.

Indexed as

InteroperabilityMetadataPersonal Health RecordStandards

Identifiers

PMID24627817
PMCPMC3950264

What OpenQuestion holds

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.