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Reseach Article

Distinct Features of Healthcare Systems and An Architecture to Manage Healthcare Distributed Databases

by Subrata Kumar Das, Mohammad Zahidur Rahman
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 24
Year of Publication: 2020
Authors: Subrata Kumar Das, Mohammad Zahidur Rahman
10.5120/ijca2020920782

Subrata Kumar Das, Mohammad Zahidur Rahman . Distinct Features of Healthcare Systems and An Architecture to Manage Healthcare Distributed Databases. International Journal of Computer Applications. 175, 24 ( Oct 2020), 1-8. DOI=10.5120/ijca2020920782

@article{ 10.5120/ijca2020920782,
author = { Subrata Kumar Das, Mohammad Zahidur Rahman },
title = { Distinct Features of Healthcare Systems and An Architecture to Manage Healthcare Distributed Databases },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2020 },
volume = { 175 },
number = { 24 },
month = { Oct },
year = { 2020 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number24/31596-2020920782/ },
doi = { 10.5120/ijca2020920782 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:25:58.294000+05:30
%A Subrata Kumar Das
%A Mohammad Zahidur Rahman
%T Distinct Features of Healthcare Systems and An Architecture to Manage Healthcare Distributed Databases
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 24
%P 1-8
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Healthcare organizations store patient records (EMR, EHR, and PHR) in electronic formats to recall urgent information about the patients. The sharing of the health record is very much important to make urgent decisions about the individuals care and quality treatment. Unlike other database systems, healthcare repository systems have distinct features. Data accesses here are localized most, not performed for all patients equally and from different locations at a time, etc. As a result, managing the distributed databases containing health data using a traditional database management system (DBMS) is not a better choice. This article proposes an architecture to manage nodes by keeping transparency and share data by identifying the distinctive features of the healthcare systems. As the volume of the patient data is increasing hugely in the medical sector, other pressing issues are reducing memory consumption and managing replication to ensure data reliability. This article also proposes a new replication strategy by relating to the proposed architecture to reduce the number of replicas, network overhead, and memory consumption without compromising performance. The experiment result shows that the proposed system outperforms the existing conventional systems.

References
  1. WSW Awang,MMDeris, Omer F Rana,MZarina, and ANM Rose. Affinity replica selection in distributed systems. In International Conference on Parallel Computing Technologies, pages 385–399. Springer, 2019.
  2. Kyungyong Chung and Roy C Park. P2p-based open health cloud for medicine management. Peer-to-Peer Networking and Applications, pages 1–13, 2019.
  3. Vassilios V Dimakopoulos, Spiridoula Margariti, Mirto Ntetsika, and Evaggelia Pitoura. Data replication in p2p systems. In Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications, pages 589–615. IGI Global, 2010.
  4. Sue S Feldman, Scott Buchalter, and Leslie W Hayes. Health information technology in healthcare quality and patient safety: literature review. JMIR medical informatics, 6(2):e10264, 2018.
  5. Xiangzhu Gao and Jun Xu. Towards an e-health ecosystem for china. In International Conference on Smart Health, pages 48–60. Springer, 2019.
  6. Munish Gupta and Heather C Kaplan. Improving quality improvement in neonatal-perinatal care. Clinics in perinatology, 44(3):xvii, 2017.
  7. MHarika, S Rahmadika, and DR Ramdania. Blockchain technology for managing an architectural model of decentralized medical record. In Journal of Physics: Conference Series, volume 1402, page 077027. IOP Publishing, 2019.
  8. Yahya Hassanzadeh-Nazarabadi, Alptekin Ku¨pc¸u¨, and O¨ znur O¨ zkasap. Decentralized and locality aware replicationmethod for dht-based p2p storage systems. Future Generation Computer Systems, 84:32–46, 2018.
  9. Yahya Hassanzadeh-Nazarabadi, Alptekin K¨upc¸ ¨u, and Oznur Ozkasap. Decentralized utility-and locality-aware replication for heterogeneous dht-based p2p cloud storage systems. IEEE Transactions on Parallel and Distributed Systems, 2019.
  10. Yahya Hassanzadeh-Nazarabadi, Alptekin Ku¨pc¸u¨, and O¨ znur O¨ zkasap. Lightchain: A dht-based blockchain for resource constrained environments. arXiv preprint arXiv:1904.00375, 2019.
  11. Martin Kleppmann. A critique of the cap theorem. arXiv preprint arXiv:1509.05393, 2015.
  12. Rani Kumari, Parma Nand, and Rani Astya. Integration of blockchain in wban. In 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), pages 144–149. IEEE, 2019.
  13. Elias Leontiadis, Vassilios V Dimakopoulos, and Evaggelia Pitoura. Creating and maintaining replicas in unstructured peer-to-peer systems. In European Conference on Parallel Processing, pages 1015–1025. Springer, 2006.
  14. Chunlin Li, YiHan Zhang, and Youlong Luo. Adaptive replica creation and selection strategies for latency-aware application in collaborative edge-cloud system. The Computer Journal, 2019.
  15. Jason Lucas. Systems and methods for asynchronous distributed database management, February 7 2013. US Patent App. 13/564,242.
  16. Qin Lv, Pei Cao, Edith Cohen, Kai Li, and Scott Shenker. Search and replication in unstructured peer-to-peer networks. In Proceedings of the 16th international conference on Supercomputing, pages 84–95, 2002.
  17. Gunasekaran Manogaran, Chandu Thota, Daphne Lopez, V Vijayakumar, KajaMAbbas, and Revathi Sundarsekar. Big data knowledge system in healthcare. In Internet of things and big data technologies for next generation healthcare, pages 133–157. Springer, 2017.
  18. Joao Paiva, Joao Leitao, and Luis Rodrigues. Rollerchain: A dht for efficient replication. In 2013 IEEE 12th International Symposium on Network Computing and Applications, pages 17–24. IEEE, 2013.
  19. Bambang Eka Purnama. Distributed data patient in medical record information system. International Journal of Scientific & Technology Research, 2020.
  20. Xiaogang Qi, Min Qiang, and Lifang Liu. A balanced strategy to improve data invulnerability in structured p2p system. Peer-to-Peer Networking and Applications, 13(1):368–387, 2020.
  21. Sathish Rajasekhar, Bin Rong, Kwong Yuen Lai, Ibrahim Khalil, and Zahir Tari. Load sharing in peer-to-peer networks using dynamic replication. In 20th International Conference on Advanced Information Networking and Applications- Volume 1 (AINA’06), volume 1, pages 1011–1016. IEEE, 2006.
  22. Kavitha Ranganathan, Adriana Iamnitchi, and Ian Foster. Improving data availability through dynamic model-driven replication in large peer-to-peer communities. In 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID’02), pages 376–376. IEEE, 2002.
  23. Alex Roehrs, Cristiano Andr´e da Costa, and Rodrigo da Rosa Righi. Omniphr: A distributed architecture model to integrate personal health records. Journal of biomedical informatics, 71:70–81, 2017.
  24. Bingqing Shen, Jingzhi Guo, and Yilong Yang. Medchain: efficient healthcare data sharing via blockchain. Applied sciences, 9(6):1207, 2019.
  25. Haiying Shen. Irm: Integrated file replication and consistency maintenance in p2p systems. IEEE transactions on Parallel and Distributed systems, 21(1):100–113, 2009.
  26. Saurabh Tewari and Leonard Kleinrock. Proportional replication in peer-to-peer networks. In INFOCOM, pages 1–12, 2006.
  27. Hiroshi Yamamoto, Daisuke Maruta, and Yuji Oie. Replication methods for load balancing on distributed storages in p2p networks. IEICE transactions on information and systems, 89(1):171–180, 2006.
Index Terms

Computer Science
Information Sciences

Keywords

Health Records DDBMS Architecture ID Index Server Areabased Replication