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Semantic Interoperability in Electronic Health Record Databases: Standards, Architecture and e-Health Systems

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Big Data Analytics (BDA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10721))

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Abstract

Information systems have been deployed in different clinics and hospitals to preserve patient data. In order to promote the exchange of data among systems (and organizations), standards are being adopted for data exchange. Further, the clinics and hospitals aim to manage a patient’s life-time history of records. A piece of the individual patient’s medical record can be captured, stored, queried, and shared over a network through enrichment in information technology. Thus, electronic health records (EHRs) are being standardized for incorporating semantic interoperability. In addition, a generic storage structure is required to capture distinguished data requirements of various organizations. The generic structure must be capable of dealing with sparseness and frequent evolution behavior of EHRs. A subsequent step requires that healthcare professionals and patients get to use the EHRs, with the help of technological developments, such as workflow toolkits and new (easy) query languages. The goal is to present an overview of different approaches in understanding some current and challenging concepts in e-health informatics. Successful handling of these challenges will lead to improved quality in healthcare by reducing medical errors, decreasing costs, and enhancing patient care. The report is focused on the following objectives: (1) understanding the role of EHRs Databases; (2) understanding the need for standardization to enhance quality; (3) establishing interoperability in maintaining EHRs; (4) explicating a framework for standardization and interoperability (the openEHR architecture); (5) exploring various data models for managing EHRs; and (6) understanding the difficulties in querying data in EHR and e-health systems.

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References

  1. Hsiao, C.J., Hing, E.: Use and Characteristics of Electronic Health Record Systems Among Office-Based Physician Practices, United States, 2001–2012 (2012)

    Google Scholar 

  2. Sachdeva, S., Bhalla, S.: Semantic interoperability in standardized electronic health record databases. J. Data Inf. Qual. (JDIQ) 3(1), 1 (2012)

    Article  Google Scholar 

  3. Araujo, A.M.C., Times, V.C., Silva, M.U.: Poly EHR: a framework for polyglot persistence of the electronic health record. In: International Conference on Internet Computing and Internet of Things, pp. 71–77 (2016)

    Google Scholar 

  4. Braga, D., Campi, A., Ceri, S.: XQBE (XQueryBy example): a visual interface to the standard XML query language. ACM Trans. Datab. Syst. 30(2), 398–443 (2005)

    Article  Google Scholar 

  5. Sachdeva, S., Yaginuma, D., Chu, W., Bhalla, S.: AQBE - QBE style queries for archetyped data. IEICE Trans. 95-D(3), 861–871 (2012)

    Article  Google Scholar 

  6. Madaan, A., Chu, W., Daigo, Y., Bhalla, S.: Quasi-relational query language interface for persistent standardized EHRs: using NoSQL databases. In: Madaan, A., Kikuchi, S., Bhalla, S. (eds.) DNIS 2013. LNCS, vol. 7813, pp. 182–196. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-37134-9_15

    Chapter  Google Scholar 

  7. Duftschmid, G., Wrba, T., Rinner, C.: Extraction of standardized archetyped data from electronic health record systems based on the entity-attribute-value model. Int. J. Med. Inform. 79(8), 585–597 (2010)

    Article  Google Scholar 

  8. Batra, S., Sachdeva, S.: Suitability of data models for electronic health records database. In: Srinivasa, S., Mehta, S. (eds.) BDA 2014. LNCS, vol. 8883, pp. 14–32. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-13820-6_2

    Google Scholar 

  9. Mehndiratta, P., Sachdeva, S., Kulshrestha, S.: A model of privacy and security for electronic health records. In: Madaan, A., Kikuchi, S., Bhalla, S. (eds.) DNIS 2014. LNCS, vol. 8381, pp. 202–213. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-05693-7_13

    Chapter  Google Scholar 

  10. ISO/TS 14441:2013 Health Informatics – Security & Privacy Requirements of EHR Systems for Use in Conformity Assessment https://www.iso.org/standard/61347.html

  11. Sachdeva, S., Bhalla, S.: Tutorial: implementing high-level query language interfaces for archetype-based electronic health records database. In: Proceedings of the International Conference on Management of Data (COMAD), pp. 235–238 (2009)

    Google Scholar 

  12. Freire, S.M., Sundvall, E., Karlsson, D., Lambrix, P.: Performance of XML databases for epidemiological queries in archetype-based EHRs. In: Scandinavian Conference on Health Informatics 2012, vol. 070, pp. 51–57, 2–3 October 2012

    Google Scholar 

  13. Abadi, D., et al.: The Beckman report on database research. Commun. ACM 59(2), 92–99 (2016)

    Article  Google Scholar 

  14. Beale, T., Heard, S.: The openEHR architecture: architecture overview. In: The openEHR release 1.0.2. openEHR Foundation (2008)

    Google Scholar 

  15. Dogac, A.: Interoperability in eHealth systems. Proc. VLDB 5(12), 2026–2027 (2012)

    Article  Google Scholar 

  16. Simonov, M., Sammartino, L., Ancona, M., Pini, S., Cazzola, W., Frascio, M.: Information, knowledge and interoperability for healthcare domain. In: Proceedings of the 1st International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (AXMEDIS 2005). IEEE, Los Alamitos (2005)

    Google Scholar 

  17. ISO/TC 215 Technical report. Electronic health record definition, scope, and context. (2nd. draft, August) (2003)

    Google Scholar 

  18. Beale, T., Heard, S.: The openEHR archetypemodel: openEHR templates. In: openEHR release 1.0.2. (2009). Issue Date 20 April 2009

    Google Scholar 

  19. Jayapandian, M., Jagadish, H.V.: Automating the design and construction of query forms. IEEE Trans. Knowl. Data Eng. 21(10), 1389–1402 (2009)

    Article  Google Scholar 

  20. ISO 13606-1: Health Informatics: Electronic Health Record Communication. Part 1: Reference Model, 1st edn. (2008)

    Google Scholar 

  21. ISO 13606-2: Health Informatics: Electronic Health Record Communication. Part 2: Archetype Interchange Specification, 1st edn. (2008)

    Google Scholar 

  22. HL7. Health level 7. www.hl7.org. Accessed June 2017

  23. Wang, L., Min, L., Wang, R., Lu, X., Duan, H.: Archetype relational mapping-a practical openEHR persistence solution. BMC Med. Inform. Decis. Mak. 15(1), 88 (2015)

    Article  Google Scholar 

  24. Archetype Query Language. https://openehr.atlassian.net/wiki/spaces/spec/pages/4915244/Archetype+Query+Language+Description. Accessed July 2017

  25. Lewis, G.A., Morris, E., Simanta, S., Wrage, L.: Why standards are not enough to guarantee end-to-end interoperability. In: Proceedings of the IEEE 7th International Conference on Composition-Based Software Systems. IEEE, Los Alamitos (2008)

    Google Scholar 

  26. Microsoft Connected Health Framework. http://www.microsoft.com/industry/healthcare/technology/Health-Frameok.mspx. Accessed May 2017

  27. OpenEHR Community. http://www.openehr.org/. Accessed May 2017

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Author information

Authors and Affiliations

  1. Division of Information Systems, University of Aizu, Aizu-wakamatsu, Fukushima, 965-8580, Japan

    Subhash Bhalla

  2. Department of Computer Science and IT, Jaypee Institute of Information Technology University, Noida, 201301, India

    Shelly Sachdeva & Shivani Batra

Authors
  1. Subhash Bhalla
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  2. Shelly Sachdeva
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  3. Shivani Batra
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Corresponding author

Correspondence to Shelly Sachdeva .

Editor information

Editors and Affiliations

  1. International Institute of Information Technology, Hyderabad, India

    P. Krishna Reddy

  2. Rajiv Gandhi Education City, Sonepat, India

    Ashish Sureka

  3. University of Texas at Arlington, Arlington, Texas, USA

    Sharma Chakravarthy

  4. University of Aizu, Aizu-Wakamatsu, Japan

    Subhash Bhalla

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Bhalla, S., Sachdeva, S., Batra, S. (2017). Semantic Interoperability in Electronic Health Record Databases: Standards, Architecture and e-Health Systems. In: Reddy, P., Sureka, A., Chakravarthy, S., Bhalla, S. (eds) Big Data Analytics. BDA 2017. Lecture Notes in Computer Science(), vol 10721. Springer, Cham. https://doi.org/10.1007/978-3-319-72413-3_16

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  • DOI: https://doi.org/10.1007/978-3-319-72413-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72412-6

  • Online ISBN: 978-3-319-72413-3

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