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Personalized-detailed clinical model for data interoperability among clinical standards

Citation

Khan, WA and Hussain, M and Afzal, M and Amin, MB and Saleem, MA and Lee, S, Personalized-detailed clinical model for data interoperability among clinical standards, Telemedicine and e-Health, 19, (8) pp. 632-642. ISSN 1530-5627 (2013) [Refereed Article]

Copyright Statement

Copyright Mary Liebert, Inc

DOI: doi:10.1089/tmj.2012.0189

Abstract

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.

Item Details

Item Type:Refereed Article
Keywords:e-health, medical records, information management, technology
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Knowledge representation and reasoning
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Applied computing
UTAS Author:Amin, MB (Dr Muhammad Bilal Amin)
ID Code:143694
Year Published:2013
Web of Science® Times Cited:11
Deposited By:Information and Communication Technology
Deposited On:2021-03-30
Last Modified:2021-05-26
Downloads:0

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