Abstract
The well-adjusted measure of health is the best resource for a healthy society for any nation. Statistics show that more than 2.4 million Indians die prematurely each year from diseases with a lack of high-quality medical care at the right time. Patients have to face longer waiting times until they get their turn to consult the doctor, which is not appropriate for the current covid scenario and in our busiest lives. However, prospective patients won’t have the chance to access healthcare systems, particularly those with a high rate of arrival. When a patient’s data is scattered across many hospitals throughout the lifetime of an individual, getting health data from one provider to another at the proper time remains a major challenge. This paper addresses this issue using Blockchain technology which enhances trust, transparency, and quality control in providing efficient health care at the right moment. The appointment system is presented with a simple booking menu, which is a beneficial method for lowering waiting times and increasing the likelihood that individuals will have access to effective healthcare at the correct time. The developed system would check the doctor’s availability and be able to serve the patient at his designated slot in the concerned hospital for emergency services. The system manages and reschedules the slots, allowing patients to choose their preferred time frame. The system functionality is adaptable to incorporate blockchain, cloud, and IoT technologies to produce secure transparent healthcare for giving treatment at the correct moment.
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References
Zala K, Thakkar HK, Jadeja R, Singh P, Kotecha K, Shukla M (2022) PRMS: design and development of patients’ e-healthcare records management system for privacy preservation in third party cloud platforms. IEEE Access 10:85777–85791. https://doi.org/10.1109/ACCESS.2022.3198094
Kumar R, Marchang N, Tripathi R (2020) Distributed off-chain storage of patient diagnostic reports in healthcare system using IPFS and blockchain. In: 2020 international conference on communication systems & networks (COMSNETS), pp 1–5. https://doi.org/10.1109/COMSNETS48256.2020.9027313
Reen GS, Mohandas M, Venkatesan S (2019) Decentralized patient centric e-health record management system using blockchain and IPFS. In: 2019 IEEE conference on information and communication technology, pp 1–7. https://doi.org/10.1109/CICT48419.2019.9066212
Iqbal N, Jamil F, Ahmad S, Kim D (2021) A novel blockchain-based integrity and reliable veterinary clinic information management system using predictive analytics for provisioning of quality health services. IEEE Access 9:8069–8098. https://doi.org/10.1109/ACCESS.2021.3049325
Zaghloul E, Li T, Mutka MW, Ren J (2022) $d$d-MABE: distributed multilevel attribute-based EMR management and applications. IEEE Trans Serv Comput 15(3):1592–1605. https://doi.org/10.1109/TSC.2020.3003321
Akshita V, Dhanush JS, Dikshitha VA, Kumar K (2021) Blockchain based covid vaccine booking and vaccine management system. IEEE Access 1–7
Song J, Bai Y, Wen J (2019) Optimal appointment rule design in an outpatient department. IEEE Trans Autom Sci Eng 16(1):100–114. https://doi.org/10.1109/TASE.2018.2794335
Nishi F, Shams M et al (2019) Electronic healthcare data record security using blockchain and smart contract. J Sens 1–22
Zhuang Y, Sheets LR et al (2020) A patient-centric health information exchange framework using blockchain technology. IEEE J Biomed Health Inform 24(8):2169–2176. https://doi.org/10.1109/JBHI.2020.2993072
Asan O, Crotty B, Nagavally S, Egede LE (2019) Patient centered communication and e-health information exchange patterns: findings from a national cross-sectional survey. IEEE J Transl Eng Health Med 7:2200107. https://doi.org/10.1109/JTEHM.2018.2884925
Nukapeyi S et al (2022) Implementation of mid-day meal scheme into limelight. In: 2022 international conference on computing, communication and power technology (IC3P), Visakhapatnam, India, pp 279–284. https://doi.org/10.1109/IC3P52835.2022.00066
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Sharmili, N., Chandu, K., Harshitha, J.N.V.S., Aishwarya, B., Kumari, B. (2023). Catch Your Session, Track Your Pulse e-Health Service Using Blockchain. In: Murthy, B.K., Reddy, B.V.R., Hasteer, N., Van Belle, JP. (eds) Decision Intelligence. InCITe 2023. Lecture Notes in Electrical Engineering, vol 1079. Springer, Singapore. https://doi.org/10.1007/978-981-99-5997-6_16
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DOI: https://doi.org/10.1007/978-981-99-5997-6_16
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