Abstract
One of the challenges in biomedical research and clinical practice is that we need to consolidate tremendous efforts in order to use all kinds of medical data for improving work processes, to increase capacity while lessening costs and enhancing efficiencies. Very few medical centers in India have digitized their patient records. Because of less interoperability among themselves, they end up having scattered and incomplete data. Health data is proprietary and being a personal asset of the patient, its distribution or use should be accomplished only with the patient’s consent and for a specific duration. This research proposes multichain as a secure, decentralized network for storing Electronic Health Records. The architecture provides users with a holistic, transparent view of their medical history by disintermediation of trust while insuring data integrity among medical facilities. This will open up new horizons of vital trends and insights for research, innovation, and development through robust analysis. The platform focuses on an interactive dashboard containing year, month, and season wise statistics of various diseases which are used to notify the users and the medical authorities on a timely basis. Prediction of epidemics using machine learning techniques will facilitate users by providing personalized care and the medical institutions for managing inventory and procuring medicines. Vital insights like patient to doctor ratio, infant mortality rates, and prior knowledge of the forthcoming epidemics will help government institutions to analyze and plan infrastructural requirements and services to be provided.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Kurian, O.: The Wire. [2018-03-25]: Why It’s a Challenge To Make Quick Sense of India’s Health Data: https://thewire.in/health/imr-mmr-data-nss-srs
Yue, X., Wang, H., Jin, D., Li, M., Jiang, W.: Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control. https://link.springer.com/article/10.1007/s10916-016-0574-6
Dhillon, V., Metcalf, D., Hooper, M.: Blockchain in Health Care. https://link.springer.com/chapter/10.1007/978-1-4842-3081-7_9
Linn, L.A., Koo, M.B.: Blockchain for Health Data and Its Potential Use in Health IT and Healthcare Related Research. https://www.healthit.gov/sites/default/files/11-74-ablockchainforhealthcare.pdf
Pharmaceutical Commerce May 2017 Article on US drugs 2016 Sales. http://pharmaceuticalcommerce.com/latest-news/us-drug-single-digit-growth
Gupta, U.C.: Journal on Informed Consent in Clinical Research: Re-visiting Few Concepts and Areas. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3601699/
Benchoufi, M., Porcher, R., Ravaud, P.: Blockchain Protocols in Clinical Trials: Transparency and Traceability of Consent. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676196/
Nakamoto, S.: Bitcoin: A Peer-to-Peer Electronic Cash System—Bit coin.org. https://bitcoin.org/en/bitcoin-paper
Greenspan, G.: MultiChain Private Blockchain—White Paper. https://www.multichain.com/download/MultiChain-White-Paper.pdf
Off-Chain Storage via Multichain. https://www.multichain.com/blog/2018/06/scaling-blockchains-off-chain-data/
Four Genuine Use Case of Blockchain. https://www.multichain.com/blog/2016/05/four-genuine-blockchain-use-cases/
Azaria, A., Ekblaw, A., Vieira, T., Lippman, A.: MedRec: Using Blockchain for Medical Data Access and Permission Management. https://ieeexplore.ieee.org/abstract/document/7573685?reload=true
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Nagori, M. et al. (2020). Mutichain Enabled EHR Management System and Predictive Analytics. In: Zhang, YD., Mandal, J., So-In, C., Thakur, N. (eds) Smart Trends in Computing and Communications. Smart Innovation, Systems and Technologies, vol 165. Springer, Singapore. https://doi.org/10.1007/978-981-15-0077-0_19
Download citation
DOI: https://doi.org/10.1007/978-981-15-0077-0_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0076-3
Online ISBN: 978-981-15-0077-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)