Abstract
The need to implement a distributed Clinical Data Repository (CDR) at a healthcare facility, rose in large part due to the high volume of data and the discrepancy of their sources. Over the years, Relational Database Management Systems (RDBMS) began to present difficulties in responding to the needs of various organizations when it comes to manipulating a large amount of data and to its scalability. Therefore, it was necessary to explore other techniques to choose the appropriate technology to build the CDR. In this way, NoSQL emerged as a new type of database that is quite useful to work with multiple and different types of data. In addition, NoSQL introduces a number of user-friendly features such as a distributed, scalable, elastic and also fault tolerant system. In this way, Oracle NoSQL Database was the NoSQL solution chosen to develop this case study, using the key-value storage. This article was motivated to propose a CDR architecture based on Oracle NoSQL Database functionalities. A one-single node database was deployed for better comprehension, in order to enhance their features for future implementation.
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References
Shertil, M., Jowan, S., Swese, R., Aldabrzi, A.: Traditional RDBMS to NoSQL database: new era of databases for big data. J. Humanit. Appl. Sci. 29, 83–102 (2016)
Costa, C., Santos, M.Y.: Big Data: state-of-the-art concepts, techniques, technologies, modeling approaches and research challenges. IAENG Int. J. Comput. Sci. 43(3), 285–301 (2017)
Madison, M., Barnhill, M., Napier, C., Godin, J.: NoSQL database technologies. J. Int. Technol. Inf. Manag. 24(1), 1–14 (2015)
Moniruzzaman, A.B.M., Hossain, S.A.: NoSQL database: new era of databases for big data analytics - classification, characteristics and comparison. Int. J. Database Theor. Appl. 216(2895), 43–45 (2013)
Anand, V., Rao, C.M.: MongoDB and Oracle NoSQL: a technical critique for design decisions. In: Proceedings of the International Conference on Emerging Trends in Engineering, Technology and Science (ICETETS 2016) (2016)
Abramova, V., Bernardino, J., Furtado, P.: Experimental evaluation of NoSQL databases. Int. J. Database Manag. Syst. 6(3), 01–16 (2014)
Han, J., Haihong, E., Le, G., Du, J.: Survey on NoSQL database. In: 2011 6th International Conference on Pervasive Computing and Applications, pp. 363–366. IEEE (2011)
Oracle: Oracle NoSQL Database: Fast, Reliable, Predictable, pp. 1–38, November 2018
Oracle: Oracle® NoSQL Database: Concepts Manual, April 2018
Oracle: Oracle® NoSQL Database: Getting Started with Oracle NoSQL Database Key/Value API, August 2019
Einbinder, J.S., Scully, K.W., Pates, R.D., Schubart, J.R., Reynolds, R.E.: Case study: a data warehouse for an academic medical center. J. Heal. Inf. Manag. 15(2), 165–175 (2001)
Gartner: Information Technology: Clinical Data Repository (2018)
Hamoud, A.K., Hashim, A.S., Awadh, W.A.: Clinical data warehouse: a review. Iraqi J. Comput. Inform. 44(2), 1–11 (2018)
Collins, A., Joseph, D., Bielaczc, K.: Design research: theoretical and methodological issues. Am. Heal. Drug Benefits 3(3), 171–178 (2004)
Kunda, D., Phiri, H.: A comparative study of NoSQL and relational database. Zambia ICT J. 1(1), 1 (2017)
Acknowledgments
The work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2019 and DSAIPA/DS/0084/2018.
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Hak, F., Guimarães, T., Abelha, A., Santos, M. (2020). An Exploratory Study of a NoSQL Database for a Clinical Data Repository. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1161. Springer, Cham. https://doi.org/10.1007/978-3-030-45697-9_46
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