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An Adaptive Semantic based Mediation System for Data Interoperability among Health Information Systems

  • Systems-Level Quality Improvement
  • Published:
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Abstract

Heterogeneity in the management of the complex medical data, obstructs the attainment of data level interoperability among Health Information Systems (HIS). This diversity is dependent on the compliance of HISs with different healthcare standards. Its solution demands a mediation system for the accurate interpretation of data in different heterogeneous formats for achieving data interoperability. We propose an adaptive AdapteR Interoperability ENgine mediation system called ARIEN, that arbitrates between HISs compliant to different healthcare standards for accurate and seamless information exchange to achieve data interoperability. ARIEN stores the semantic mapping information between different standards in the Mediation Bridge Ontology (MBO) using ontology matching techniques. These mappings are provided by our System for Parallel Heterogeneity (SPHeRe) matching system and Personalized-Detailed Clinical Model (P-DCM) approach to guarantee accuracy of mappings. The realization of the effectiveness of the mappings stored in the MBO is evaluation of the accuracy in transformation process among different standard formats. We evaluated our proposed system with the transformation process of medical records between Clinical Document Architecture (CDA) and Virtual Medical Record (vMR) standards. The transformation process achieved over 90 % of accuracy level in conversion process between CDA and vMR standards using pattern oriented approach from the MBO. The proposed mediation system improves the overall communication process between HISs. It provides an accurate and seamless medical information exchange to ensure data interoperability and timely healthcare services to patients.

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Notes

  1. http://uclab.khu.ac.kr/sphere

  2. Heath Management Information System

  3. http://uclab.khu.ac.kr/

References

  1. Groves, P., Kayyali, B., Knott, D., and Kuiken, S. V., The big data revolution in healthcare, accelerating value and innovation. http://www.mckinsey.com/~/media/mckinsey/dotcom/client_service/healthcare_systems_and-services/pdfs/the_big_data_revolution_in_healthcare.ashx, 2013.

  2. Lewis, G. A., Morris, E., Simanta, S., and Wrage, L., Why standards are not enough to guarantee end-to-end interoperability. In: Seventh International Conference on Composition-Based Software Systems, 2008. ICCBSS 2008, pp 164–173. IEEE, 2008.

  3. Ohmann, C., and Kuchinke, W., Future developments of medical informatics from the viewpoint of networked clinical research. Methods Inf. Med. 48(1):45–54, 2009.

  4. Clinical information modeling initiative. http://www.amia.org/the-standards-standard/2012-volume3-edition1/clinical-information-modeling-initiative, 2013.

  5. Amin, M. B., Batool, R., Khan, W. A., Lee, S., and Huh, E.-N., Sphere: a performance initiative towards ontology matching by implementing parallelism over cloud platform. J. Supercomput., 2013.

  6. Khan, W. A., Amin, M. B., Khattak, A. M., Hussain, M., and Lee, S., System for parallel heterogeneity resolution (sphere) results for OAEI 2013. Ontol. Match., 184, 2013.

  7. Khan, W. A., Hussain, M., Afzal, M., Amin, M. B., Saleem, M. A., and Lee, S., Personalized-detailed clinical model for data interoperability among clinical standards. Telemed. e-health 19(8):632–642, 2013.

  8. Khattak, A.M., Pervez, Z., Khan, W.A., Lee, S.Y., and Lee, Y.K., A self evolutionary rule-base. In: U-and E-Service, Science and Technology, 1–9. Springer, 2011.

  9. Hussain, M., Khattak, A.M., Khan, W.A., Fatima, I ., Amin, M.B., Pervez, Z ., Batool, R., Saleem, M.A., Afzal, M., Faheem, M. et al., Cloud-based smart cdss for chronic diseases. Health Technol. 1–23, 2013.

  10. Hussain, M., Khan, W., Afzal, M., and Lee, S., Smart cdss for smart homes. In: Impact Analysis of Solutions for Chronic Disease Prevention and Management, pp 266–269, 2012.

  11. Hussain, M., Afzal, M., Khan, W. A., and Lee, S., Clinical decision support service for elderly people in smart home environment. In: 12th International Conference On Control, Automation, Robotics and Vision (ICARCV 2012), 2012.

  12. Qamar, R., and Rector, A., Semantic issues in integrating data from different models to achieve data interoperability. Stud. Health Technol. Inform. 129(1):674, 2007.

  13. de Clercq, P. A., Blom, J. A., Korsten, H. H. M., and Hasman, A. et al., Approaches for creating computer-interpretable guidelines that facilitate decision support. Artif. Intel. Med. 31(1):1–28, 2004.

  14. Boxwala, A. A., Tu, S., Peleg, M., Zeng, Q., Ogunyemi, O., Greenes, R. A., Shortliffe, E. H, and Patel, V. L., Toward a representation format for sharable clinical guidelines. J. Biomed. Inform. 34(3):157–169, 2001.

  15. Samwald, M., Fehre, K., De Bruin, J., and Adlassnig, K.-P.., The arden syntax standard for clinical decision support: Experiences and directions. J. Biomed. Inform. 45(4):711–718, 2012.

  16. Beeler, G. W., Huff, S., Rishel, W., Shakir, A.-M., Walker, M., Mead, C., and Schadow, G., Message development framework. Technical report, Version 3.3: Health Level Seven, Inc., 1999.

  17. Dolin, R. H., Alschuler, L., Boyer, S., Beebe, C., Behlen, F. M., Biron, P. V., and Shvo, A. S., Hl7 clinical document architecture, release 2. Technical report, HL7 V3 Normative Edition 2011: Health Level Seven, Inc., 2011.

  18. Dolin, R. H., Alschuler, L., Boyer, S., Beebe, C., Behlen, F. M., Biron, P. V., and Shvo, A. S., Hl7 clinical document architecture, release 2. J. Am. Med. Inform. Assoc. 13(1):30–39, 2006.

  19. Domain analysis model, Virtual medical record for clinical decision support (VMRCDS), release 1. Technical report: Health Level Seven, Inc., http://www.hl7.org/v3ballot2012jan/html/dams/uvvmr/uvvmr.html., 2012

  20. Domain analysis model, Virtual medical record for clinical decision support (VMRCDS), release 1. Technical report: Health Level Seven, Inc., http://www.hl7.org/v3ballot2012jan/html/dams/uvvmr/uvvmr.html., 2012

  21. Xu, B., Wang, P., Lu, J., Li, Y., and Kang, D., Bridge ontology and its role in semantic annotation. In: 2004 International Conference on Cyberworlds: IEEE, pp 329–334, 2004.

  22. Wang, P., Xu, B., Lu, J., Li, Y., and Kang, D., Theory and semi-automatic generation of bridge ontology in multi-ontologies environment. In: On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops: Springer, pp 763–767, 2004.

  23. Lambrix, P., and Tan, H., Sambo-a system for aligning and merging biomedical ontologies. Web Semant. Sci. Serv. Agents World Wide Web 4(3):196–206, 2006.

  24. Jean-Mary, Y. R., Shironoshita, E. P. , and Kabuka, M. R., Ontology matching with semantic verification. Web Semant. Sci. Serv. Agents World Wide Web 7(3):235–251, 2009.

  25. Pavel, S., and Euzenat, J., Ontology matching: state of the art and future challenges. IEEE Trans. Knowl. Data Eng. (99):1–1, 2011.

  26. Bodenreider, O. et al., Biomedical ontologies in action: role in knowledge management, data integration and decision support. Yearb Med. Inform. 67:79, 2008.

  27. Hein, A., Nee, O., Willemsen, D., Scheffold, T., Dogac, A., Laleci, G.B. et al., Saphire-intelligent healthcare monitoring based on semantic interoperability platform-the homecare scenario. In: 1st European Conference on eHealth (ECEH06): Fribourg, Switzerland, pp 191–202, 2006.

  28. Hein, A., Nee, O., Willemsen, D., Scheffold, T., Dogac, A., Laleci, G. B. et al., Saphire-intelligent healthcare monitoring based on semantic interoperability platform-the homecare scenario. In: 1st European Conference on eHealth (ECEH06): Fribourg, Switzerland, pp 191–202, 2006.

  29. Dogac, A., Laleci, G. B., Kirbas, S., Kabak, Y., Sinir, S. S., Yildiz, A., and Gurcan, Y., Artemis: Deploying semantically enriched web services in the healthcare domain. Inform. Syst. 31(4):321–339, 2006.

  30. Sahay, R., Fox, R., Zimmermann, A., Polleres, A., and Hauswrith, M., A methodological approach for ontologising and aligning health level seven (hl7) applications. Availability, Reliability and Security for Business, Enterprise and Health Information Systems, pages 102–117, 2011.

  31. Maldonado, J. A., Moner, D., Boscá, D., Fernéndez-Breis, J. T., Angulo, C., and Robles, M., Linkehr-ed: A multi-reference model archetype editor based on formal semantics. Int. J. Med. Inform. 78(8):559–570, 2009.

  32. Costa, C. M., Menárguez-Tortosa, M., and Fernéndez-Breis, J. T., Clinical data interoperability based on archetype transformation. J. Biomed. Inform. 44(5):869–880, 2011.

  33. Kilic O., and Dogac, A., Achieving clinical statement interoperability using r-mim and archetype-based semantic transformations. IEEE Trans. Inform. Technol. Biomed. 13(4):467–477, 2009.

  34. Khan, W. A., Hussain, M., Latif, K., Afzal, M., Ahmad, F., and Lee, S., Process interoperability in healthcare systems with dynamic semantic web services. Computing 1–26, 2013.

  35. De Potter, P., Cools, H., Depraetere, K., Mels, G., Debevere, P., De Roo, J., Huszka, C., Colaert, D., Mannens, E., and Van de Walle, R., Semantic patient information aggregation and medicinal decision support. Comput. Methods Prog. Biomed. 108(2):724–735, 2012.

  36. Yilmaz, Ö., Erdur, R. C., and Türksever, M., Sams-a systems architecture for developing intelligent health information systems. J. Med. Syst. 37(6):1–17, 2013.

  37. Sphere: System for parallel heterogeneity resolution. http://uclab.khu.ac.kr/sphere. (Last visited in June 2013).

  38. Wordnet: A lexical database for english. http://wordnet.princeton.edu/. (Last visited in June 2013).

  39. Scharffe, F., Zamazal, O., and Fensel, D., Ontology alignment design patterns. Knowl. Inform. Syst. 1–28, 2013.

  40. Drummond, N., Rector, A., Stevens, R., Moulton, G., Horridge, M., Wang, H., and Seidenberg, J., Putting owl in order: Patterns for sequences in owl. In Grau, B. C., Hitzler, P., Shankey, C., and Wallace, E. (Ed.) Nov..(Cit. on p.), 2006.

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Acknowledgements

This research was supported by the MSIP(Ministry of Science, ICT&Future Planning), Korea, under the ITRC(Information Technology Research Center) support program supervised by the NIPA(National IT Industry Promotion Agency)” (NIPA-2013-(H0301-13-2001)).

This work was supported by a grant from the Kyung Hee University in 2011. (KHU-20111372).

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Authors and Affiliations

  1. Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, Yongin-si, Gyeonggi-do, 446-701, Republic of Korea

    Wajahat Ali Khan, Asad Masood Khattak, Maqbool Hussain, Muhammad Bilal Amin, Muhammad Afzal & Sungyoung Lee

  2. Computer Science Research Institute and School of Computing and Mathematics, University of Ulster Newtownabbey, Co. Antrim, Northern Ireland, BT37 0QB, UK

    Christopher Nugent

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  1. Wajahat Ali Khan
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  2. Asad Masood Khattak
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  3. Maqbool Hussain
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  4. Muhammad Bilal Amin
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  5. Muhammad Afzal
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  7. Sungyoung Lee
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Correspondence to Sungyoung Lee.

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This article is part of the Topical Collection on Systems-Level Quality Improvement

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Khan, W.A., Khattak, A.M., Hussain, M. et al. An Adaptive Semantic based Mediation System for Data Interoperability among Health Information Systems. J Med Syst 38, 28 (2014). https://doi.org/10.1007/s10916-014-0028-y

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