Email this article Transaction Record Analysis using Blockchain Technology in Electronic Healthcare and Medicine
Abstract
Blockchain technology has gained attention due to its numerous applications, from, financial services, data management, cyber security, data analysis, etc. as it delivers secure and safe management of data in health care. The current healthcare sector can improve by implying blockchain technology as it promises privacy, confidentiality, security, and a decentralized system. EHR (Electronic Health Record) systems face problems regarding counter field drugs, data tempering, data integrity, management, and security. In this work, a prototype is proposed that will use blockchain technology to enhance the HER systems which can become a solution to these problems. This system can provide immutable logs and easily accessible medical information to the patient and can manage accountability, authentication, confidentiality, and data sharing with the
Consortium-Hyperledger blockchain framework that is connected to the cloud. Moreover, this system also solves the biggest disadvantage of blockchain technology i.e., storage and scalability by using a cloud that helps in storing the data in the off-chain.
Keywords
References
Gupta, K., & Jiwani, N. (2021). A systematic Overview of Fundamentals and Methods of Business Intelligence. International Journal of Sustainable Development in Computing Science, 3(3), 31-46.
Tomar, U., Chakroborty, N., Sharma, H., & Whig, P. (2021). AI based Smart Agricuture System. Transactions on Latest Trends in Artificial Intelligence, 2(2).
WHIG, P. (2021). Innovative Smart Blind Guidance System Based on IoT. Transactions on Latest Trends in IoT, 3(3).
WHIG, P. (2019). Application of Machine learning to investigate the mortality risk of viral diseases. Transactions on Latest Trends in IoT, 1(1).
Velu, A. (2019). The spread of big data science throughout the globe. International Journal of Sustainable Development in Computing Science, 1(1), 11-20. Retrieved from https://ijsdcs.com/index.php/ijsdcs/article/view/6
Velu, A. (2019). A Stable Pre-processing Method for the Handwritten Recognition System. International Journal of Machine Learning for Sustainable Development, 1(1), 21-30. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/60
Whig, P. (2019). Exploration of Viral Diseases mortality risk using machine learning. International Journal of Machine Learning for Sustainable Development, 1(1), 11-20. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/53
Whig, P. (2019). A Novel Multi-Center and Threshold Ternary Pattern. International Journal of Machine Learning for Sustainable Development, 1(2), 1-10. Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/54
Mikula, T., and Jacobsen, R. H., Identity and Access Management with Blockchain in Electronic Healthcare Records. 2018 21st Euromicro Conf Digit Syst Des. 699– 706, 2018.
Tamazirt, L., Alilat, F., and Agoulmine, N. Blockchain Technology: A new secured Electronic Health Record System. In: 2018 International Workshop on ADVANCEs in ICT Infrastructures and Services (ADVANCE’2018). 134, 2018.
Wang, H., and Song, Y., Secure Cloud- Based EHR System Using Attribute-Based Cryptosystem and Blockchain. J.Med. Syst. 42(8): 152, 2018.
Qing Y. Tang and Mohammed A. S. Khalid. 2016. Acceleration of k-Means Algorithm Using Altera SDK for OpenCL. ACM Trans. Reconfigurable Technol.Syst.10,1,Article 6 (September 2016), 19
pages. DOI: https://doi.org/10.1145/2964910.
Pawan Whig and Ajay Rupani ,” Novel Economical Social Distancing Smart Device for COVID19”, International Journal of Electrical Engineering and Technology, 2020,vol 2 no2, pp1-10 (SCOPUS)
Pawan Whig et. al .’ Analysis of Tomato Leaf Disease Identification Techniques Journal of Computer Science and Engineering (JCSE) Vol. 2,Issue 2 2021 pp.98-103.
Pawan Whig et. al,” IoT Based Novel Smart Blind Guidance System Journal of Computer Science and Engineering (JCSE),Vol. 2 , Issue 2 2021, 80-88
Pawan Whig et. al Improved Pattern of Adaptive Rood-Pattern Search Algorithm for Motion Estimation in Video Compression ,Innovations in Cyber Physical Systems, springer 2021 ,441-448.
(Scopus)
Pawan Whig et. al ,’ Impact of Covid Vaccination on the Globe using data analytics. International Journal of Sustainable Development in Computing Science Vol. 3 ,Issue.2 ,2021
Momen, Mohammad Abdul. "FPGA-Based Acceleration of Expectation Maximization Algorithm using High Level Synthesis." MASc Thesis, University of Windsor, 2017.
Yixing Li, Zichuan Liu, Kai Xu, Hao Yu, and Fengbo Ren. 2018. A GPU Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks. J. Emerg. Technol. Comput. Syst. 14, 2, Article 18 (July 2018), 16 pages. DOI: https://doi.org/10.1145/3154839.
Pawan Whig and S. N. Ahmad, On the Performance of ISFET-based Device for Water Quality Monitoring. Int'l J. of Communications, Network and System Sciences (IJCNS) (Nov 2011) ISSN (ONLINE): 1913-3715, ISSN (PRINT):1913-3723, Vol 4 pp: 709-719.
Pawan Whig and S. N. Ahmad, DVCC based Readout Circuitry for Water Quality Monitoring System, International Journal of Computer Applications (IJCA) ISBN : 973-93-80869-71-6,Volume 49 pp: 1-7.
Pawan Whig and S. N. Ahmad, A CMOS Integrated CC-ISFET Device for Water Quality Monitoring, International Journal of Computer Science Issues ,Volume 9, Issue 4, July 2012, ISSN (online): 1694-0814 pp: 365-371.
Pawan Whig and S. N. Ahmad, Performance Analysis of Various Readout Circuits for Monitoring Quality of Water Using Analog Integrated Circuits, International Journal of Intelligent Systems and Applications (IJISA) ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online) Volume 4, No.11, October 2012 pp:91-98.
Reddy, Yeruva Ramana, An Empirical Study on The Effect Of Spatial Variability of Block-Type Cement-Treated Ground on The Bearing Capacity Of Foundation Under Inclined Load (January 1, 2011). International Journal of Current Science (IJCSPUB), ISSN:2250-1770, Volume.1, Issue 1, pp.8-11, January 2011, Available at SSRN: https://ssrn.com/abstract=4211478
Reddy, Yeruva Ramana, Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Predictions (June 1, 2014). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 1, page no.880-883, June-2014, Available at SSRN: https://ssrn.com/abstract=4211911
Reddy, Yeruva Ramana, A Critical Review of Artificial Intelligence Applications In Tbm, Natm & Nmt Tunnels (October 4, 2014). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.1, Issue 4, Page No pp.937-940, October 2014, Available at SSRN: https://ssrn.com/abstract=4211898
Reddy, Yeruva Ramana, Prediction Of Maximum Surface Settlement Caused By Earth Pressure Balance (EPB) Shield Tunneling With ANN Methods (November 4, 2014). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.1, Issue 4, Page No pp.668-671, November 2014, Available at SSRN: https://ssrn.com/abstract=4211892
Reddy, Yeruva Ramana, Modeling Load-Settlement Behavior of Driven Piles Embedded In Cohesive Soils Using Artificial Neural Networks (May 2, 2014). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.1, Issue 2, Page No pp.941-944, May 2014, Available at SSRN: https://ssrn.com/abstract=4211901
Reddy, Yeruva Ramana, A Case Study On The Predictive And Prescriptive Analytics In Underground Space Structures (May 2, 2015). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.3, Issue 2, pp.547-550, May 2015, Available at SSRN: https://ssrn.com/abstract=4211455
Reddy, Yeruva Ramana, Genetic Programming for Modelling of Soil–Structure Interactions (September 9, 2015). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 9, page no.884-887, September 2015, Available at SSRN: https://ssrn.com/abstract=4211915
Reddy, Yeruva Ramana, An Empirical Study on The Methods And Instruments For Automated Geotechnical Monitoring (July 3, 2016). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.4, Issue 3, pp.542-546, July 2016., Available at SSRN: https://ssrn.com/abstract=4211450
Reddy, Yeruva Ramana, Applications of Artificial Intelligence and Machine Learning in Geotechnical Engineering (February 2, 2017). International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 2, page no. pp425-428, February-2017, Available at SSRN: https://ssrn.com/abstract=4211917
Reddy, Yeruva Ramana, Automation of The Digital Information Workflow In The Geotechnical Design Process (October 4, 2017). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.4, Issue 4, Page No pp.664-667, October 2017, Available at SSRN: https://ssrn.com/abstract=4211889
Reddy, Yeruva Ramana, Modelling Soil Behaviour in Uniaxial Strain Conditions by Neural Networks (May 5, 2018). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.1460-1463, May 2018, Available at SSRN: https://ssrn.com/abstract=4211918
Reddy, Yeruva Ramana, An Empirical Study On The Benefits of Civil Systems Connectivity and Automation – A Discussion In The Context of Metro Transport (August 3, 2018). IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.5, Issue 3, Page No pp.9, August 2018, Available at SSRN: https://ssrn.com/abstract=4211896
Reddy, Yeruva Ramana, Automatic Damage Detection Using Machine Learning And Deep Learning (November 4, 2018). International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.5, Issue 4, Page No pp.660-663, November 2018, Available at SSRN: https://ssrn.com/abstract=4211885
Reddy, Yeruva Ramana, An Empirical Study on The Best Prediction Model of Water Inflow Into Drill and Blast Tunnels Among Several Machine Learning Techniques (February 2, 2019). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN-2349-5162, Vol.6, Issue 2, page no.888-891, February 2019, Available at SSRN: https://ssrn.com/abstract=4211902
Reddy, Yeruva Ramana, Automation and Artificial Intelligence in Construction and Management of Civil Infrastructure (May 5, 2019). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.429-432, May 2019, Available at SSRN: https://ssrn.com/abstract=4211907
Reddy, Yeruva Ramana, A Machine Learning Framework For Predicting Displacements Due To Deep Excavations And Tunnels (October 4, 2019). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.7, Issue 4, pp.366-369, October 2019, Available at SSRN: https://ssrn.com/abstract=4211434
Reddy, Yeruva Ramana, Forecasting Displacement of Underground Caverns Using Machine Learning Techniques (December 12, 2020). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 12, pp.3438-3441, December 2020, Available at SSRN: https://ssrn.com/abstract=4211457
Reddy, Yeruva Ramana, State-of-The-Art Review of Some Artificial Intelligence Applications In Deep Excavations (June 6, 2021). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.g589-g592, June-2021, Available at SSRN: https://ssrn.com/abstract=4211923
Reddy, Yeruva Ramana, Accident Prediction In Construction Using Hybrid Wavelet-Machine Learning (October 10, 2021). International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 10, pp.d721-d724, October 2021, Available at SSRN: https://ssrn.com/abstract=4211459
Reddy, Yeruva Ramana, Machine Learning Applications In Civil Engineering: An Empirical Study (February 2, 2022). International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. pp e730-e733, February-2022, Available at SSRN: https://ssrn.com/abstract=4211925
Reddy, Yeruva Ramana, Reducing The Risks In Geotechnical Engineering Using Artificial Intelligence Techniques (June 6, 2022). International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.k334-k337, June-2022, Available at SSRN: https://ssrn.com/abstract=4211909
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