Abstract
An era of open information in the healthcare is now underway. This information can be considered as ‘Big data’, not only for its sheer volume but also for its complexity, diversity, and timeliness of data for any large eHealth System such as Personally Controlled Electronic Health Record (PCEHR). The system enables different person or organization to access, share, and manage their health data. Other challenges incorporated with the PCEHR data can be very excessive to capture, store, process and retrieve the insight knowledge in real time. Various PCEHR frameworks have been proposed in recent literature. However, big data challenges have not been considered in these frameworks. In this paper, we argue the PCEHR data should be considered as big data and the challenges of big data should be addressed when to design the framework of the PCEHR system. In doing so, we propose a PCEHR framework, which deals with real time big data challenges using the state-of-the-art technologies such as Apache Kafka and Apache Storm. At the same time the proposed framework ensures secure data communication using cryptographic techniques. Using a qualitative analysis, we show that the proposed framework addresses the big data challenges.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Philip Chen, C.L., Zhang, C.-Y.: Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf. Sci. 275, 314–347 (2014)
Savitz, E.: Top 10 strategic technology trends for 2013 (2012). http://www.forbes.com/sites/ericsavitz/2012/10/23/gartner-top-10-strategic-technology-trends-for-2013/. Accessed 14 June 2014
Savitz, E.: 10 critical tech trends for the next five years (2012). http://www.forbes.com/sites/ericsavitz/2012/10/22/gartner-10-critical-tech-trends-for-the-next-five-years/. Accessed 14 June 2014
Laney, D.: 3D data management: controlling data volume, velocity, and variety. Appl. Deliv. Strat. Meta Group 949, 1–4 (2001). http://blogs.gartner.com/doug-laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf
Zhang, X., Yang, C., Nepal, S., Li, C., Dou, W., Chen, J.: A MapReduce based approach of scalable multidimensional anonymization for big data privacy preservation on cloud. In: IEEE Third International Conference on Cloud and Green Computing, pp. 105–112 (2013)
Begum, M., Mamun, Q., Kaosar, M.: A privacy-preserving framework for personally controlled electronic health record (PCEHR) system. In: Australian eHealth Informatics and Security Conference, pp. 1–10 (2013)
Van Gorp, P., Comuzzi, M., Jahnen, A., Kaymak, U., Middleton, B.: An open platform for personal health record apps with platform-level privacy protection. Comput. Biol. Med. 51, 12–23 (2014)
Ant Ozok, A., Wu, H., Garrido, M., Pronovost, P.J., Gurses, A.P.: Usability and perceived usefulness of personal health records for preventive health care: a case study focusing on patients’ and primary care providers’ perspectives. Appl. Ergon. 45, 613–628 (2013)
Huang, L.-C., Chu, H.-C., Lien, C.-Y., Hsiao, C.-H., Kao, T.: Privacy preservation and information security protection for patients’ portable electronic health records. Comput. Biol. Med. 39, 743–750 (2009)
Barbarito, F., Pinciroli, F., Barone, A., Pizzo, F., Ranza, R., Mason, J., Mazzola, L., Bonacina, S., Marceglia, S.: Implementing the lifelong personal health record in a regionalised health information system: the case of Lombardy, Italy. Comput. Biol. Med. 59, 1–11 (2013)
Lin, C.-C., Shih, C.-L., Liao, H.-H., Wung, C.H.Y.: Learning from Taiwan patient-safety reporting system. Int. J. Med. Inform. 81, 834–841 (2012)
Jian, W.-S., Wen, H.-C., Scholl, J., Shabbir, S.A., Lee, P., Hsu, C.-Y., Li, Y.-C.: The Taiwanese method for providing patients data from multiple hospital EHR systems. J. Biomed. Inform. 44, 326–332 (2010)
Ghazvini, A., Shukur, Z.: Security challenges and success factors of electronic healthcare system. Procedia Technol. 11, 212–219 (2013)
Gordon, P., Camhi, E., Hesse, R., Odlum, M., Schnall, R., Rodriguez, M., Valdez, E.: Bakkenf, S: Processes and outcomes of developing a continuity of care document for use as a personal health record by people living with HIV/AIDS in New York City. Int. J. Med. Inform. 81, e63–e73 (2012)
Lapsia, V., Lamb, K., Yasnoff, W.A.: Where should electronic records for patients be stored? Int. J. Med. Inform. 81, 821–827 (2012)
Yu, P., Zhang, Y., Gong, Y., Zhang, J.: Unintended adverse consequences of introducing electronic health records in residential aged care homes. Int. J. Med. Inform. 82, 772–788 (2013)
Apache Projects: Apache kafka (2014). http://kafka.apache.org. Accessed 20 May 2014
Apache Projects: Apache storm (2014). http://storm.incubator.apache.org/. Accessed 20 May 2014
IBM: Harness your data resources in healthcare (2010). http://www-01.ibm.com/software/data/bigdata/industry-healthcare.html. Accessed 20 May 2014
Austrian Institute of Technology: eHealth platform (2010). http://www.ait.ac.at/research-services/research-services-safety-security/health-information-systems/ehealth-platform/?L=. Accessed 20 May 2014
Department of Health: Australian Government: Personally controlled electronic health record system operator: annual report 2012–2013 (2014). http://www.health.gov.au/internet/main/publishing.nsf/Content/PCEHR-system-operator-annual-report2012-2013. Accessed 20 May 2014
Department of Health: Australian Government: The personally controlled eHealth record system (2014). http://www.nehta.gov.au/. Accessed 20 May 2014
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Rabbi, K., Kaosar, M., Islam, M., Mamun, Q. (2015). A Secure Real Time Data Processing Framework for Personally Controlled Electronic Health Record (PCEHR) System. In: Tian, J., Jing, J., Srivatsa, M. (eds) International Conference on Security and Privacy in Communication Networks. SecureComm 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 153. Springer, Cham. https://doi.org/10.1007/978-3-319-23802-9_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-23802-9_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-23801-2
Online ISBN: 978-3-319-23802-9
eBook Packages: Computer ScienceComputer Science (R0)