Abstract
Information management in healthcare is nowadays experiencing a great revolution. After the impressive progress in digitizing medical data by private organizations, also the federal government and other public stakeholders have also started to make use of healthcare data for data analysis purposes in order to extract actionable knowledge. In this paper, we propose an architecture for supporting interoperability in healthcare systems by exploiting Big Data techniques. In particular, we describe a proposal based on big data techniques to implement a nationwide system able to improve EHR data access efficiency and reduce costs.
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Notes
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As a matter of fact, due to its quick result presentation, many users go through Google even if they exactly know the URLs of the resources they are interested in.
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Yahoo!Directory is no longer active since 2014, however it is worth mentioning as it was one of the first services for massive assisted browsing.
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References
Synapses/SynEx goes XML. Studies in Health Technology and Informatics, IOS press (1999)
(2001). http://healthcare.omg.org/Roadmap/corbamed_roadmap.htm
Big data. Nature., September 2008
Data, data everywhere. The Economist., February 2010
Drowning in numbers - digital data will flood the planet - and help us understand it better. The Economist., November 2011
Agrawal et al., D.: Challenges and opportunities with big data. A community white paper developed by leading researchers across the United States., March 2012
Appari, A., Johnson, M.E.: Information security and privacy in healthcare: current state of research. Int. J. Internet Enterp. Manage. 6(4), 279 (2010)
Bittner, T., Donnelly, M., Winter, S.: Ontology and semantic interoperability. Large-Scale 3D Data Integration. CRC Press, London (2005)
Blobel, B., Oemig, F.: What is needed to finally achieve semantic interoperability? IFMBE Proc. 25(12), 411–414 (2009)
Blobel, B., Kalra, D., Koehn, M., Lunn, K., Pharow, P., Ruotsalainen, P., Schulz, S., Smith, B.: The role of ontologies for sustainable, semantically interoperable and trustworthy ehr solutions. In: Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, Agust 30 - September 2, 2009, pp. 953–957 (2009). http://dx.doi.org/10.3233/978-1-60750-044-5-953
Borst, F., Appel, R., Baud, R., Ligier, Y., Scherrer, J.: Happy birthday diogene: a hospital information system born 20 years ago. Int. J. Med. Inf. 54(3), 157–167 (1999)
Bouhaddou, O., Warnekar, P., Parrish, F., Do, N., Mandel, J., Kilbourne, J., Lincoln, M.J.: Exchange of computable patient data between the department of veterans affairs (va) and the department of defense (dod): terminology mediation strategy. J. Am. Med. Inf. Assoc. 15(2), 174–183 (2008)
Dogac, A., Laleci, G.B., Aden, T., Eichelberg, M.: Enhancing ihe xds for federated clinical affinity domain support. IEEE Trans. Inf. Technol. Biomed. 11(2), 213–221 (2007). http://dx.doi.org/10.1109/TITB.2006.874928
Dogac, A., Laleci, G.B., Kabak, Y., Unal, S., Heard, S., Beale, T., Elkin, P.L., Najmi, F., Mattocks, C., Webber, D., Kernberg, M.: Exploiting ebxml registry semantic constructs for handling archetype metadata in healthcare informatics. Int. J. Metadata Seman. Ontol. 1(1), 21–36 (2006). http://dx.doi.org/10.1504/IJMSO.2006.008767
Esposito, C., Ciampi, M., De Pietro, G., Donzelli, P.: Notifying medical data in health information systems. In: Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems. pp. 373–374. DEBS 2012, NY, USA. ACM, New York (2012). http://doi.acm.org/10.1145/2335484.2335528
Haux, R.: Health information systems past, present, future. Int. J. Med. Inf. 75(3–4), 268–281 (2006)
Huang, H.K.: PACS and imaging informatics. Wiley-Liss, Hoboken (2004)
Masciari, E., Mazzeo, G.M., Zaniolo, C.: Analysing microarray expression data through effective clustering. Inf. Sci. 262, 32–45 (2014). http://dx.doi.org/10.1016/j.ins.2013.12.003
Nixon, L.J.B., Cerizza, D., Valle, E.D., Simperl, E., Krummenacher, R.: Enabling collaborative ehealth through triplespace computing. In: Proceedings of the 16th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises, pp. 80–85. WETICE 2007, IEEE Computer Society, Washington, DC (2007). http://dx.doi.org/10.1109/WETICE.2007.140
Nordbotten, N.A.: Xml and web services security standards. IEEE Commun. Surv. Tutorials 11(3), 4–21 (2009). http://dx.doi.org/10.1109/SURV.2009.090302
Schloeffel, P., Beale, T., Hayworth, G., Heard, S., Leslie, H.: The relationship between cen 13606, hl7, and openehr (2006)
Sittig, D., Kuperman, G., Teich, J.: Www-based interfaces to clinical information systems: the state of the art. In: Proceedings of the AMIA Annual Fall Symposium, pp. 694–698. CRC Press, London (1996)
White, T.: Hadoop: The Definitive Guide, 1st edn. O’Reilly Media Inc, Sebastopol (2009)
Zaharia, M., Chowdhury, M., Das, T., Dave, A., Ma, J., McCauley, M., Franklin, M.J., Shenker, S., Stoica, I.: Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. In: Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation, pp. 2–2. USENIX Association (2012)
Zaharia, M., Chowdhury, M., Franklin, M.J., Shenker, S., Stoica, I.: Spark: Cluster computing with working sets. In: Proceedings of the 2Nd USENIX Conference on Hot Topics in Cloud Computing, pp. 10–10. HotCloud’10, USENIX Association, Berkeley, CA, USA (2010)
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Cassavia, N., Ciampi, M., De Pietro, G., Masciari, E. (2016). Enhancing EHR Systems Interoperability by Big Data Techniques. In: Renda, M., Bursa, M., Holzinger, A., Khuri, S. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2016. Lecture Notes in Computer Science(), vol 9832. Springer, Cham. https://doi.org/10.1007/978-3-319-43949-5_3
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