Document Detail

Personalized-detailed clinical model for data interoperability among clinical standards.
MedLine Citation:
PMID:  23875730     Owner:  NLM     Status:  MEDLINE    
OBJECTIVE: Data interoperability among health information exchange (HIE) systems is a major concern for healthcare practitioners to enable provisioning of telemedicine-related services. Heterogeneity exists in these systems not only at the data level but also among different heterogeneous healthcare standards with which these are compliant. The relationship between healthcare organization data and different heterogeneous standards is necessary to achieve the goal of data level interoperability. We propose a personalized-detailed clinical model (P-DCM) approach for the generation of customized mappings that creates the necessary linkage between organization-conformed healthcare standards concepts and clinical model concepts to ensure data interoperability among HIE systems.
MATERIALS AND METHODS: We consider electronic health record (EHR) standards, openEHR, and HL7 CDA instances transformation using P-DCM. P-DCM concepts associated with openEHR and HL7 CDA help in transformation of instances among these standards. We investigated two datasets: (1) data of 100 diabetic patients, including 50 each of type 1 and type 2, from a local hospital in Korea and (2) data of a single Alzheimer's disease patient. P-DCMs were created for both scenarios, which provided the basis for deriving instances for HL7 CDA and openEHR standards.
RESULTS: For proof of concept, we present case studies of encounter information for type 2 diabetes mellitus patients and monitoring of daily routine activities of an Alzheimer's disease patient. These reflect P-DCM-based customized mappings generation with openEHR and HL7 CDA standards. Customized mappings are generated based on the relationship of P-DCM concepts with CDA and openEHR concepts.
CONCLUSIONS: The objective of this work is to achieve semantic data interoperability among heterogeneous standards. This would lead to effective utilization of resources and allow timely information exchange among healthcare systems.
Wajahat Ali Khan; Maqbool Hussain; Muhammad Afzal; Muhammad Bilal Amin; Muhammad Aamir Saleem; Sungyoung Lee
Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Telemedicine journal and e-health : the official journal of the American Telemedicine Association     Volume:  19     ISSN:  1556-3669     ISO Abbreviation:  Telemed J E Health     Publication Date:  2013 Aug 
Date Detail:
Created Date:  2013-07-23     Completed Date:  2014-05-06     Revised Date:  2014-08-03    
Medline Journal Info:
Nlm Unique ID:  100959949     Medline TA:  Telemed J E Health     Country:  United States    
Other Details:
Languages:  eng     Pagination:  632-42     Citation Subset:  IM    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Alzheimer Disease
Diabetes Mellitus, Type 2
Electronic Health Records
Health Level Seven
Medical Record Linkage / methods*,  standards
Models, Organizational*
Republic of Korea
Software Design
Systems Integration*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Myths about the Proton. The Nature of H(+) in Condensed Media.
Next Document:  Oxysterol receptors and their therapeutic applications in cancer conditions.