Hospital health monitoring on cloud using blockchain technology
Keywords:
hospital, health monitoring, blockchain technologyAbstract
Block chain is being used to invest in innovation and address trust issues more effectively. It is at the front of a wide-ranging hunt for position to develop and commercial breakthroughs. A wide range of businesses could profit from blockchain-based technology solutions. It demonstrates how blockchain technology could be utilised in the healthcare industry to share medical data and analysis among institutions and research organisations based on patient-defined access policies. In order to protect confidential data, the project involves the use of two types of chains: A private one is the side chain it will keeps the information about the patients, and A public one is the main chain it which stores information about patients health data marked with a ID temporary. Hospital Health Monitoring deals with the hospital branch and patients management. We are using the cloud computing for delivers the convenient, on-demand access and sharing the data, applications and hardware over the internet, it provides the unlimited infrastructure to store and execute the patient data and program. The project applies that blockchain technology which is a decentralized network, where the entire database of health care management is being handled by many users.
Downloads
References
Peng Zhang, Jules White, Douglas C. Schmidt, Gunther Lenz, S. Trent Rosenbloom: “FHIR Chain: Applying Blockchain to Securely and Scalarly Share Clinical Data”. Elsevier, 2018.
Kevin Peterson, Rammohan Deeduvanu, Pradip Kanjamala, Kelly Boles: “A Blockchain-Based Approach to Health Information Exchange Networks”. ONC/NIST Use of Blockchain for Healthcare and Research Workshop, 2016.
Dubovitskaya A. et al. “Secure and trustable electronic medical records sharing using blockchain:, Proceedings of the AMIA 2017, American Medical Informatics Association Annual Symposium; Washington, DC, USA. 4–8 November 2017.
X. Liang, J. Zhao, S. Shetty, J. Liu and D. Li, "Integrating blockchain for data sharing and collaboration in mobile healthcare applications," 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, QC, 2017, pp. 1-5. doi: 10.1109/PIMRC.2017.8292361
M. A. Rahman et al., "Blockchain-Based Mobile Edge Computing Framework for Secure Therapy Applications," in IEEE Access, vol. 6, pp. 72469-72478, 2018. doi: 10.1109/ACCESS.2018.2881246
Berman M, Fe naughty A. Technology and managed care: patient benefits of telemedicine in a rural health care network. Health Econ 2005;14:559–73.
Castaneda C, Nalley K, Mannion C, Bhattacharyya P, Blake P, Pecora A, et al. Clinicaldecision support systems for improving diagnostic accuracy and achieving precision medicine. Journal of Clinical Bioinformatics 2015;5:4.
Singh H, Giardina TD, Meyer AN, Forjuoh SN, Reis MD, Thomas EJ. Types and origins of diagnostic errors in primary care settings. JAMA Intern Med 2013;173:418–25.
Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med 2003;163:1409–16.
Schiff GD, Hasan O, Kim S, Abrams R, Cosby K, Lambert BL, et al. Diagnostic error in medicine: analysis of 583 physician-reported errors. Arch Intern Med 2009;169:1881–7
Buterin V, et al. Ethereum white paper; 2013.
Johnston D, Yilmaz SO, Kandah J, Bentenitis N, Hashemi F, Gross R, et al. The general theory of decentralized applications, dapps, GitHub, June 9; 2014.
Yaorong Ge, David K Ahn, Bhagya Shree Unde, H Donald Gage, and J Jeffrey Carr. Patient-controlled sharing of medical imaging data across unaffiliated healthcare organizations. Journal of the American Medical Informatics Association, 20(1):157–163, 2013.
Chris Clifton, Murat Kantarcioˇglu, AnHai Doan, Gunther Schadow, Jaideep Vaidya, Ahmed Elmagarmid, and Dan Suciu. Privacy-preserving data integration and sharing. In Proceedings of the 9th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pages 19–26. ACM, 2004.
Joshua R Vest and Larry D Gamm. Health Information Exchange: persistent challenges and new strategies. Journal of the American Medical Informatics Association, 17(3):288–294, 2010.
Paul C Tang, Joan S Ash, David W Bates, J Marc Overhage, and Daniel Z Sands. Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. Journal of the American Medical Informatics Association, 13(2):121–126, 2006.
Jan Walker, Eric Pan, Douglas Johnston, Julia Adler- Milstein, et al. The value of health care information exchange and interoperability. Health Affairs, 24:W5, 2005.
L. J. Kish and E. J. Topol, “Unpatients-why patients should own their medical data,” Nature biotechnology, vol. 33, no. 9, pp. 921–924, 2015.
J. H. Clippinger, “Why Self-Sovereignty Matters,” https://idcubed.org/chapter-2-self-sovereignty-matters/,[Online; accessed 7-March-2017].
S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system,” 2008.
X. Liang, S. Shetty, D. Tosh, C. Kamhoua, K. Kwiat, and L. Njilla, “Provchain: A blockchain-based data provenance architecture in cloud environment with enhanced privacy and availability,” in International Symposium on Cluster, Cloud and Grid Computing. IEEE/ACM, 2017.
D. K. Tosh, S. Shetty, X. Liang, C. A. Kamhoua, K. A. Kwiat, and L. Njilla, “Security implications of blockchain cloud with analysis of block withholding attack,” in Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, ser. CC Grid ’17. Piscataway, NJ, USA: IEEE Press, 2017, pp. 458–467. [Online]. Available: https://doi.org/10.1109/CCGRID.2017.111
T. O. of the National Coordinator for Health IT (ONC), the National Institute for Standards, and T. (NIST), “Use of blockchain in healthcare and research workshop,” 2016. [7] C. Cachin, “Architecture of the hyper ledger blockchain fabric,” in Workshop on Distributed Cryptocurrencies and Consensus Ledgers, 2016. [8] R. C. Merkle, “
Gede Budasi, I. & Wayan Suryasa, I. (2021). The cultural view of North Bali community towards Ngidih marriage reflected from its lexicons. Journal of Language and Linguistic Studies, 17(3), 1484–1497
Suryasa, I. W., Rodríguez-Gámez, M., & Koldoris, T. (2022). Post-pandemic health and its sustainability: Educational situation. International Journal of Health Sciences, 6(1), i-v. https://doi.org/10.53730/ijhs.v6n1.5949
Parmin, P., Suarayasa, K., & Wandira, B. A. (2020). Relationship between quality of service with patient loyality at general polyclinic of kamonji public health center. International Journal of Health & Medical Sciences, 3(1), 86-91. https://doi.org/10.31295/ijhms.v3n1.157
Published
How to Cite
Issue
Section
Copyright (c) 2022 International journal of health sciences

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health Sciences (IJHS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJHS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.








