The conceptual model to solve the problem of interoperability in health information systems

In the domain of e-health, there are diverse and heterogeneous health care systems with different brands on various platforms. One of the most important challenges in this field is the interoperability which plays a key role on information exchange and sharing. Achieving the interoperability is a difficult task because of complexity and diversity of systems, standards, and kinds of information. The lack of interoperability would lead to increase costs and errors of medical operation in hospitals. The purpose of this article is to present a conceptual model for solving interoperability in health information systems. A Health Service Bus (HSB) as an integrated infrastructure is suggested to facilitate Service Oriented Architecture. A scenario-based evaluation on the proposed conceptual model shows that adopting web service technology is an effective way for this task.

[1]  Nicholas R. Hardiker,et al.  Clinical Terminologies: A Solution for Semantic Interoperability , 2009 .

[2]  A. Begoyan,et al.  AN OVERVIEW OF INTEROPERABILITY STANDARDS FOR ELECTRONIC HEALTH RECORDS , 2007 .

[3]  Marco Eichelberg,et al.  A survey and analysis of Electronic Healthcare Record standards , 2005, CSUR.

[4]  Sai Peck Lee,et al.  A review of interoperability assessment models , 2013, Journal of Zhejiang University SCIENCE C.

[5]  Alan L. Rector,et al.  Semantic Issues in Integrating Data from Different Models to Achieve Data Interoperability , 2007, MedInfo.

[6]  Natrah Saad,et al.  THE IMPLEMENTATION OF HOSPITAL INFORMATION SYSTEM ( HIS ) IN TERTIARY HOSPITALS IN MALAYSIA : A QUALITATIVE STUDY , 2011 .

[7]  Yang Guo,et al.  Using P2P technology to achieve eHealth interoperability , 2011, ICSSSM11.

[8]  Wided Guédria,et al.  Interoperability Maturity Models - Survey and Comparison - , 2008, OTM Workshops.

[9]  L. Stoicu-Tivadar,et al.  Measuring medical informatics systems interoperability using the LISI model , 2010, IEEE 8th International Symposium on Intelligent Systems and Informatics.

[10]  Lawrence E. Whitman,et al.  The missing link: Culture and language barriers to interoperability , 2006, Annu. Rev. Control..

[11]  Amanda Joanne Ducrou Complete interoperability in healthcare : technical, semantic and process interoperability through ontology mapping and distributed enterprise integration techniques , 2009 .

[12]  Jack Verhoosel,et al.  State of the Art on Semantic IS Standardization, Interoperability & Quality , 2011 .

[13]  Kevin Lee,et al.  An evaluation of hospital information systems integration approaches , 2012, ICACCI '12.

[14]  Diana Vega,et al.  A Methodology for Automated Interoperability Testing of Healthcare Information Systems based on an Actor Emulation Approach , 2011 .

[15]  Sai Peck Lee,et al.  A review on E-business Interoperability Frameworks , 2014, J. Syst. Softw..

[16]  Sai Peck Lee,et al.  An interoperability model for ultra large scale systems , 2014, Adv. Eng. Softw..

[17]  Paula Kotzé,et al.  A review of interoperability standards in e-Health and imperatives for their adoption in Africa , 2013, South Afr. Comput. J..

[18]  Jameson Mbale,et al.  The Information Systems Interoperability Maturity Model (ISIMM): Towards Standardizing Technical Interoperability and Assessment within Government , 2012 .

[19]  D. K. Hammer,et al.  Scenario-based software architecture evaluation methods : an overview , 2002 .

[20]  R. Crichton The open health information mediator : an architecture for enabling interoperability in low to middle income countries. , 2015 .

[21]  Zaidi Fayçal,et al.  A Semantic Web Services for Medical Analysis using the OWL-S Language , 2011 .

[22]  E. D. Valle,et al.  The Need for Semantic Web Service in the eHealth , 2005 .

[24]  Alan Rector Semantic Interoperability Deployment and Research Roadmap , 2008 .

[25]  Sai Peck Lee,et al.  Interoperability evaluation models: A systematic review , 2014, Comput. Ind..