Abstract
The development of archetype-based Health Information Systems (HIS) allows the creation of interoperable mechanisms for the Electronic Health Record (EHR) as well as improvements for application maintenance and upgrades. However, we identified a lack of an approach or tool to build dynamic archetype-based data schema in heterogeneous database. This article presents a cloud service able to build Graphical User Interface (GUI) and data schema for use in the healthcare sector. Using data attributes, terminologies and constraints extracted from EHR archetypes, it dynamically generates GUI and data schema in heterogeneous databases. In order to persist EHR data, we used the concept of polyglot persistence to store structured data in a relational database, while non-structured data is stored in a NoSQL database. Finally, we validated the proposed service in a hospital located in northeastern Brazil and demonstrate how health professionals can build GUI for use in the healthcare sector without depending on a software development team.
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References
Lim, A. K., & Thuemmler, C. (2012). Opportunities and challenges of internet-based health interventions in the future internet. 12th International conference on Information Technology – New Generations, 2012.
Gurung, S., & Kim, Y. (2015). Healthcare privacy: How secure are the VOIP/video-conferencing tools for PHI data?. 12th International conference on Information Technology – New Generations, 2015.
Coorevits, P., Sundgren, M., Klein, G. O., Bahr, A., Claerhout, B., Daniel, C., Dugas, M., Dupont, D., Schmidt, A., Singleton, P., De Moor, G., & Kalra, D. (2013). Electronic health records: New opportunities for clinical research. Journal of Internal Medicine, 274(6), 547–560.
Marco, E., Thomas, A., Jorg, R., Asuman, D., & Gokce, L. (2005). A survey and analysis of electronic healthcare record standards. ACM Computing Surveys, 37(4), 277–315.
Lezcano, L., Miguel, A. S., & Rodríguez, S. (2010). Integrating reasoning and clinical archetypes using OWL ontologies and SWRL rules. Journal of Biomedical Informatics, 44(2), 343–353.
Martínez, C. C., Menárguez, T. M., Fernández, B. J. T., & Maldonado, J. A. (2009). A model-driven approach for representing clinical archetypes for Semantic Web environments. Journal of Biomedical Informatics, 42(1), 150–164.
Lloyd, D., Beale, T., & Heard, S. openEHR architecture: Architecture overview, 2008. Available at http://www.openehr.org/releases/1.0.2/architecture/overview.pdf. Last accessed Jan 2016.
Kaur, K., & Rani, R. (2015). Managing data in healthcare information systems: Many models, one solution. IEEE Computer Society, 48(3), 52–59.
Buck, J., Garde, S., Kohl, C. D., & Knaup, G. P. (2009). Towards a comprehensive electronic patient record to support an innovative individual care concept for premature infants using the openEHR approach. International Journal of Medical Informatics, 78(8), 521–531.
Chen, R., Klein, G. O., Sundvall, E., Karlsson, D., & Åhlfeldt, H. (2009). Archetype-based conversion of EHR content models: Pilot experience with a regional EHR system. BMC Medical Informatics and Decision Making, 9, 33.
Bernstein, K., Bruun, R. M., Vingtoft, S., Andersen, S. K., & Nøhr, C. (2005). Modelling and implementing electronic health records in Denmark. International Journal of Medical Informatic, 74(2–4), 213–220.
Späth, M. B. & Grimson, J. (2010). Applying the archetype approach to the database of a biobank information management system. International Journal of Medical Informatics, 80(3), 205–226.
Garde, S., Hovenga, E., Buck, J., & Knaup, P. (2007). Expressing clinical data sets with openEHR archetypes: A solid basis for ubiquitous computing. International Journal of Medical Informatics, 76(Suppl 3), 334–341.
Prasad, S., & Sha, N. (2013). NextGen data persistence pattern in healthcare: Polyglot persistence. Fourth international conference on Computing, Communications and Networking Technologies, 2013.
Georg, D., Judith, C., & Christoph, R. (2013). Towards plug-and-play integration of archetypes into legacy electronic health record systems: The ArchiMed experience. BMC Medical Informatics and Decision Making, 13(1), 1–12.
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de Araújo, A.M.C., Times, V.C., da Silva, M.U. (2018). A Cloud Service for Graphical User Interfaces Generation and Electronic Health Record Storage. In: Latifi, S. (eds) Information Technology - New Generations. Advances in Intelligent Systems and Computing, vol 558. Springer, Cham. https://doi.org/10.1007/978-3-319-54978-1_36
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DOI: https://doi.org/10.1007/978-3-319-54978-1_36
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