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Achieving interoperability among healthcare standards: building semantic mappings at models level

Authors:

Khalid LatifAuthors Info & Claims

ICUIMC '12: Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication

Article No.: 101, Pages 1 - 9

https://doi.org/10.1145/2184751.2184868

Published: 20 February 2012 Publication History

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Abstract

Resolving heterogeneities between data and processes paves the way for interoperability between different heterogeneous systems. Healthcare standards provide the base for interoperability between different Electronic Health Record (EHR) system. The problems related to data interoperability arise when two EHR system's are complaint to heterogeneous healthcare standards and want to communicate with each other. To achieve semantic data interoperability, there is need to resolve data level heterogeneity. In this paper, we propose system that enable high level of accuracy of mapping between heterogeneous healthcare standards model. The broader goal of data interoperability is achieved when these heterogeneities are resolved through ontology matching and generation of accurate mapping file, that helps in clinical message conversion from one standard to another. To justify claim we investigate HL7 and openEHR standards ontological mappings. We will discuss transformation of HL7 and openEHR models at high level and instance transformation at the realization level. The proposed approach provides accurate mappings that enables timely health information sharing among different healthcare systems to provide better healthcare to patients.

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Cited By

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Dimitrieski VPetrović GKovačević ALuković IFujita H(2016)A Survey on Ontologies and Ontology Alignment Approaches in HealthcareTrends in Applied Knowledge-Based Systems and Data Science10.1007/978-3-319-42007-3_32(373-385)Online publication date: 14-Jul-2016
https://doi.org/10.1007/978-3-319-42007-3_32
Piho GTepandi JThompson DWoerner AParman M(2015)Business Archetypes and Archetype Patterns from the HL7 RIM and openEHR RM Perspectives: Towards Interoperability and Evolution of Healthcare Models and Software SystemsProcedia Computer Science10.1016/j.procs.2015.08.38463(553-560)Online publication date: 2015
https://doi.org/10.1016/j.procs.2015.08.384
Chandrasekaran SMohan SNatarajan R(2015)Survey on HealthCloud characteristicsHealth and Technology10.1007/s12553-015-0106-25:2(135-146)Online publication date: 6-May-2015
https://doi.org/10.1007/s12553-015-0106-2
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Index Terms

Achieving interoperability among healthcare standards: building semantic mappings at models level
1. Information systems
  1. Data management systems
    1. Information integration
    2. Middleware for databases
      1. Object-relational mapping facilities

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Reviews

Reviewer: Varadraj Prabhu Gurupur

Translating electronic health records (EHRs) into ontologies and then into other forms of electronic information is a challenging task. This paper focuses on the transformation of openEHR and Health Level Seven (HL7) standards. This process is mainly done to enable the sharing of health information between various healthcare systems. The authors first familiarize the reader with the HL7 and openEHR models. The paper then presents some information on the existing systems that are applied to this problem of translation: the Jini Health Interoperability Framework (HIF-J), Artemis, and plug and play electronic patient records (PPEPR). The authors provide a software architecture of their own to solve the aforementioned challenge; this architecture uses open-source ontology matching tools. They propose using manual ontology matching and present four algorithms used for mapping. The proposal to perform some amount of ontology mapping manually is a very interesting approach. The authors claim that the manual process increases the accuracy of the mapping technique. Overall, I found this to be a very well-written paper. It attempts to provide a solution to a very complex problem in health informatics. The presented architecture should be used to develop at least a prototype of a real system, which can be tested with the aim of developing effective ontology transformation software. Online Computing Reviews Service

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Published In

ICUIMC '12: Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication

February 2012

852 pages

ISBN:9781450311724

DOI:10.1145/2184751

Conference Chairs:
Suk-Han Lee
Sungkyunkwan University, Korea
,
Lajos Hanzo
University of Southampton, UK
,
Roslan Ismail
Universiti Kuala Lumpur, Malaysia
,
Program Chairs:
Dongsoo S. Kim
Indiana University
,
Min Young Chung
Sungkyunkwan University, Korea
,
Sang-Won Lee
Sungkyunkwan University, Korea

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Published: 20 February 2012

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ICUIMC '12: The 6th International Conference on Ubiquitous Information Management and Communication

February 20 - 22, 2012

Kuala Lumpur, Malaysia

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Dimitrieski VPetrović GKovačević ALuković IFujita H(2016)A Survey on Ontologies and Ontology Alignment Approaches in HealthcareTrends in Applied Knowledge-Based Systems and Data Science10.1007/978-3-319-42007-3_32(373-385)Online publication date: 14-Jul-2016
https://doi.org/10.1007/978-3-319-42007-3_32
Piho GTepandi JThompson DWoerner AParman M(2015)Business Archetypes and Archetype Patterns from the HL7 RIM and openEHR RM Perspectives: Towards Interoperability and Evolution of Healthcare Models and Software SystemsProcedia Computer Science10.1016/j.procs.2015.08.38463(553-560)Online publication date: 2015
https://doi.org/10.1016/j.procs.2015.08.384
Chandrasekaran SMohan SNatarajan R(2015)Survey on HealthCloud characteristicsHealth and Technology10.1007/s12553-015-0106-25:2(135-146)Online publication date: 6-May-2015
https://doi.org/10.1007/s12553-015-0106-2
Khan WHussain MAfzal MAmin MSaleem MLee S(2013)Personalized-Detailed Clinical Model for Data Interoperability Among Clinical StandardsTelemedicine and e-Health10.1089/tmj.2012.018919:8(632-642)Online publication date: Aug-2013
https://doi.org/10.1089/tmj.2012.0189
Hussain MKhattak AKhan WFatima IAmin MPervez ZBatool RSaleem MAfzal MFaheem MSaddiqi MLee SLatif K(2013)Cloud-based Smart CDSS for chronic diseasesHealth and Technology10.1007/s12553-013-0051-x3:2(153-175)Online publication date: 27-Mar-2013
https://doi.org/10.1007/s12553-013-0051-x
Vitaletti APuglia S(2013)System Overview of Next-Generation Remote HealthcareSystems Design for Remote Healthcare10.1007/978-1-4614-8842-2_2(31-53)Online publication date: 10-Oct-2013
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Semantic interoperability in standardized electronic health record databases

Implementing standards for the interoperability among healthcare providers in the public regionalized Healthcare Information System of the Lombardy Region

Towards semantic interoperability in healthcare: ontology mapping from SNOMED-CT to HL7 version 3

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Semantic interoperability in standardized electronic health record databases

Implementing standards for the interoperability among healthcare providers in the public regionalized Healthcare Information System of the Lombardy Region

Towards semantic interoperability in healthcare: ontology mapping from SNOMED-CT to HL7 version 3

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