Abstract
Health care informatics now can map a rural health center to ‘n’ number of city hospitals is no more a research agenda. The remote diagnostics, alert services, and finding ambulances can be talented over mobile devices. However, to support such services massive data sets are to be processed in a short span of time. It is possible only when un-structured data sets can be processed in parallel with some degree of fault tolerance. The Hadoop distributed framework and Map/Reduce engine can process such hundreds of terabytes of data at a low cost. An electronic health record (EHR) is a real-time, patient-centered archive. A personal health record (PHR) is maintained by patient securely. In this work, a web enabled distributed EHR and PHR management framework using Hadoop HBase, is proposed. It will assist patient’s data exploration for advanced data analytics on demand.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Yang, X.: UI Design for PAIN-OUT Online System. Mälardalen University, Diss (2014)
Kitchens, B., Harle, C.A., Li, S.: Quality of health-related online search results. Decis. Support Syst. 57(1), 444–453 (2014). Elsevier
Ozdemir, Z.D., Bandyopadhyay, S., Barron, J.M.: Adoption of electronic and personal health records: an economic analysis. In: Proceedings of the AMCIS (2009). http://aisel.aisnet.org/amcis2009/755
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H.: Big Data: The Next Frontier for Innovation, Competition, and Productivity (2011)
Yadav, V., Verma, M., Kaushik, V.D.: Big data analytics for health systems. In: 2015 International Conference on Green Computing and Internet of Things (ICGCIoT). IEEE (2015)
Sheriff, C.I., Naqishbandi, T., Geetha, A.: Healthcare informatics and analytics framework. In: 2015 International Conference on Computer Communication and Informatics (ICCCI). IEEE (2015)
Connolly, S., Wooledge, S., Aster, T.: Harnessing The Value of Big Data Analytics. Teradata, Hortonworks, Santa Clara (2013)
Courtney, M.: Puzzling out big data [information technology analytics]. Eng. Technol. 7(12), 56–60 (2013)
Raghupathi, W., Kesh, S.: Interoperable electronic health records design: towards a service-oriented architecture. e-Service J. 5, 39–57 (2007)
Raghupathi, W., Raghupathi, V.: Big data analytics in healthcare: promise and potential. Health Inf. Sci. Syst. 2(1), 3 (2014)
Patel, V.L., Rogers, R., Haux, R.: Patient Empowerment and the Electronic Health Record. In: Proceedings of the MEDINFO, IOS Press, pp. 663–665 (2001). ISBN 1 58603 1945
Greenhalgh, T.: Adoption, non adoption, and abandonment of a personal electronic health record: case study of Health Space. Br. Med. J. (2010). doi:10.1136/bmj.c5814, http://bit.ly/boP
Katikalapudi, R., Chellappan, S., Montgomery, F., Wunsch, D., Lutzen, K.: Associating internet usage with depressive behavior among college students. IEEE Technol. Soc. Mag. 31(4), 73–80 (2012). doi:10.1109/MTS.2012.2225462
Roy, N., Pallapa, G., Das, S.K.: A middleware framework for ambiguous context mediation in smart healthcare Application. In: IEEE conference on Wireless and Mobile Computing, Networking and Communications, pp. 72 (2007). ISBN: 0-7695- 2889-9
Herland, M., Khoshgoftaar, T.M., Wald, R.: A review of data mining using big data in health informatics. J. Big Data 1(2) (2014). doi:10.1186/2196-1115-1-2. SpringerOpen Journal
Jim, H.: Broad data: exploring the emerging web of data. Big Data 1(1), 18–20 (2013)
White, T.: Hadoop The Definitive Guide, 3rd edn. O’Reilly Media Inc, Sebastopol (2012). Xie, J., Tian, Y., Yin, S., Zhang, J., Ruan, X., Qin, X.: Adaptive preshuffling in hadoop clusters. Procedia Comput. Sci. 18, 2458 –2467 (2013). International Conference on Computational Science
DeWitt, D.J., Paulson, E., Robinson, E., Naughton, J., Royalty, J., Shankar, S., Krioukov, A.: Clustera: an integrated computation and data management system. Proc. VLDB Endow. 1(1), 28–41 (2008)
Karlff, H., Suriet, S., et al.: A model of computation for MapReduce. In: Proceedings of the 20th SODA (2010)
Deanand, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. In: Proceedings of the 6th Conference on Symposium on Operating Systems Design & Implementation, SanFrancisco, vol. 6, p. 10 (2004)
Zhang, S., Han, J., Liu, Z., et.al.: Parallelizing spatial join with mapreduce on clusters. In: Proceedings of CLUSTER, pp. 1–8 (2009)
Khare, R., Cutting, D., Sitaker, K., Rifkin, A.: Nutch: a flexible and scalable open-source web search engine. Or. State Univ. 1, 32 (2004)
Jurik, B.A., Blekinge, A.A., Ferneke-Nielsen, R.B., Møldrup-Dalum, P.: Bridging the gap between real world repositories and scalable preservation environments. Int. J. Digit. Libr. 16(3–4), 267–282 (2015)
Murphy, S.N., Weber, G., Mendis, M., Gainer, V., Chueh, H.C., Churchill, S., Kohane, I.: Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). J. Am. Med. Inform. Assoc. 17(2), 124–130 (2010)
Code, T.A., Rules, L.: Department Of State Health Services Regulatory Licensing Unit Facility Licensing Group (2010)
Department of Veterans Affairs: National center for veterans analysis and statistics (2012)
Overview of the Nationwide Inpatient Sample (NIS): Healthcare Cost and Utilization Project, Agency for Health Care Policy and Research (2007)
Weech-Maldonado, R., Elliott, M.N., Pradhan, R., Schiller, C., Dreachslin, J., Hays, R.D.: Moving towards culturally competent health systems: organizational and market factors. Soc. Sci. Med. 75(5), 815–822 (2012)
Saeed, M., Lieu, C., Raber, G., Mark, R.G.: MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring. In: Computers in Cardiology 2002, pp. 641–644. IEEE, September 2002
Brennan, N., Oelschlaeger, A., Cox, C., Tavenner, M.: Leveraging the big-data revolution: CMS is expanding capabilities to spur health system transformation. Health Aff. 33(7), 1195–1202 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Sarkar, B.B., Paul, S., Cornel, B., Rohatinovici, N., Chaki, N. (2018). Personal Health Record Management System Using Hadoop Framework: An Application for Smarter Health Care. In: Balas, V., Jain, L., Balas, M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-319-62521-8_33
Download citation
DOI: https://doi.org/10.1007/978-3-319-62521-8_33
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-62520-1
Online ISBN: 978-3-319-62521-8
eBook Packages: EngineeringEngineering (R0)