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Smart Healthcare: The Genesis of a New Era in Post-Pandemic Scenario
Meghdip Haldar1 , Sudip Bhowmick2 , Moumita Chatterjee3
Section:Research Paper, Product Type: Journal-Paper
Vol.12 ,
Issue.3 , pp.10-17, Sep-2024
Online published on Sep 30, 2024
Copyright © Meghdip Haldar, Sudip Bhowmick, Moumita Chatterjee . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Meghdip Haldar, Sudip Bhowmick, Moumita Chatterjee, “Smart Healthcare: The Genesis of a New Era in Post-Pandemic Scenario,” World Academics Journal of Management, Vol.12, Issue.3, pp.10-17, 2024.
MLA Style Citation: Meghdip Haldar, Sudip Bhowmick, Moumita Chatterjee "Smart Healthcare: The Genesis of a New Era in Post-Pandemic Scenario." World Academics Journal of Management 12.3 (2024): 10-17.
APA Style Citation: Meghdip Haldar, Sudip Bhowmick, Moumita Chatterjee, (2024). Smart Healthcare: The Genesis of a New Era in Post-Pandemic Scenario. World Academics Journal of Management, 12(3), 10-17.
BibTex Style Citation:
@article{Haldar_2024,
author = {Meghdip Haldar, Sudip Bhowmick, Moumita Chatterjee},
title = {Smart Healthcare: The Genesis of a New Era in Post-Pandemic Scenario},
journal = {World Academics Journal of Management},
issue_date = {9 2024},
volume = {12},
Issue = {3},
month = {9},
year = {2024},
issn = {2347-2693},
pages = {10-17},
url = {https://www.isroset.org/journal/WAJM/full_paper_view.php?paper_id=3625},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/WAJM/full_paper_view.php?paper_id=3625
TI - Smart Healthcare: The Genesis of a New Era in Post-Pandemic Scenario
T2 - World Academics Journal of Management
AU - Meghdip Haldar, Sudip Bhowmick, Moumita Chatterjee
PY - 2024
DA - 2024/09/30
PB - IJCSE, Indore, INDIA
SP - 10-17
IS - 3
VL - 12
SN - 2347-2693
ER -
Abstract :
The expeditious development of high-end technologies including big data as well as machine learning works as a bridge among healthcare providers, patients, insurance agencies whereas the application will help Indian citizens in various aspects of healthcare segment by serving as a solution to all the problems associated with disease or disorder which will provide a good service to all the patients in every segment starting from diagnosis till post-treatment, insurance facilities and this application will educate the common people regarding upcoming diseases and make them aware of various health hazards by improving their quality of life. The ultra-modern technologies will provide better medical facilities to the required people whereas the application comprises remote patient monitoring, electronic health records, telemedicine, telehealth services, etc. The focus of the research serves to establish co-ordination, cooperation among the various healthcare providers to provide the best medical treatment to every user; application of artificial intelligence is required to carry healthcare personnel with several functions from administrative workflow to clinical documentation, patient outreach, specialized support in image analysis, medical device automation as well as patient monitoring. The methodology followed in the present research by developing an algorithm using patient’s proximity to establishment, availability of medical practitioner and doctor, suitability and specific requirement of patient. Data from healthcare databases are taken using systematically sampling method and this data are recorded, analyzed and collaborated using Internet of Things & software such as Microsoft Azure, Cloud, RevX, Google machine learning, etc. The present research has concluded that an application must be developed with the integration of high-end technologies to connect several types of healthcare providers and establishments to facilitate every user irrespective of their caste, creed, financial background, etc. Thus, the research has also concluded that smart healthcare technologies possess the potential to transform healthcare industry by ameliorating patient care, efficiency and cost-effectiveness; through the integration of internet of things, wearable devices, AI, telemedicine healthcare can become more personalized, proactive, and accessible.
Key-Words / Index Term :
Artificial Intelligence, Data analytics, Integrated Healthcare System, Healthcare Applications, Machine Learning, Medical Device Automation, Image Analysis, Remote Patient Monitoring, Mobile Health
References :
[1] Alshehri, F. and Muhammad, G., A Comprehensive Survey of the Internet of Things (IoT) and AI-Based Smart Healthcare. IEEE Access, 9, pp.3660-3678, 2020.
[2] Attahiru Saminu, Manir Abdullahi Kamba. Information System Security in Healthcare Organizations in Nigeria: A Comprehensive Review. World Academics Journal of Management, Vol.12, Issue.2, pp.25-33, 2024.
[3] Dwivedi, R., Mehrotra, D. and Chandra, S., The potential of the Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review. Journal of Oral Biology and Craniofacial Research, Vol.12, Issue.2, pp.302-318, 2022.
[4] F. Alshehri and G. Muhammad. A Comprehensive Survey of the Internet of Things (IoT) and AI-Based Smart Healthcare," in IEEE Access, Vol.9, pp.3660-3678, 2021.
[5] Farhud, D.D. and Zokaei, S., Ethical Issues of Artificial Intelligence in Medicine and Healthcare. Iranian Journal of Public Health, 50(11), 2021.
[6] Ghazal, T.M., Hasan, M.K., Alshurideh, M.T., Alzoubi, H.M., Ahmad, M., Akbar, S.S., Al Kurdi, B. and Akour, I.A., IoT for smart cities: Machine learning approaches in smart healthcare—A review. Future Internet, 13(8): p.218, 2021.
[7] Islam, M.M., Rahaman, A. and Islam, M.R., Development of smart healthcare monitoring system in IoT environment. SN computer science, 1, pp.1-11, 2020.
[8] Kelly, Artificial intelligence and the Internet of Things enabled disease diagnosis models for smart healthcare systems. IEEE Access J.T., Campbell, K.L., Gong, E. and Scuffham, P., The Internet of Things: Impact and implications for health care delivery. Journal of medical Internet research, 22(11), p.e20135, 2020.
[9] Lee, D. and Yoon, S.N., Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges. International Journal of Environmental Research and Public Health, 18(1): p.271, 2021.
[10] Mansour, R.F., El Amraoui, A., Nouaouri, I., Díaz, V.G., Gupta, D. and Kumar, S., Artificial intelligence and the Internet of Things enabled disease diagnosis models for smart healthcare systems. IEEE Access, 9, pp.45137-45146, 2021.
[11] Attahiru Saminu, Manir Abdullahi Kamba, “Information System Security in Healthcare Organizations in Nigeria: A Comprehensive Review,” World Academics Journal of Management, Vol.12, Issue.2, pp.25-33, 2024.
[12] O. Adeoye, "Human Factors in Information System Security: The Nigerian Healthcare Perspective," Journal of Health Informatics in Developing Countries, 15, (2):pp. 85-97, 2021.
[13] Saifuzzaman, M. and Ananna, T.N., Towards Smart Healthcare: Challenges and Opportunities in IoT and ML, 2023.
[14] Sundaravadivel, P., Kougianos, E., Mohanty, S.P. and Ganapathiraju, M.K., Everything you wanted to know about smart health care: Evaluating the different technologies and components of the internet of things for better health. IEEE Consumer Electronics Magazine, 7(1): pp.18-28, 2017.
[15] Tian, S., Yang, W., Grange, J.M.L., Wang, P., Huang, W. and Ye, Z. Smart healthcare: making medical care more intelligent. Global Health Journal, [online] 3(3): pp.62–65, 2019.
[16] Zeadally, S., Siddiqui, F., Baig, Z. and Ibrahim, A., Smart healthcare: Challenges and potential solutions using Internet of things (IoT) and big data analytics. PSU research review, 4(2): pp.149-168, 2020.
[17] Athota, L., Shukla, V.K., Pandey, N. and Rana, A., June. Chatbot for healthcare system using artificial intelligence. In 2020 8th International Conference on Reliability, Infocom technologies and optimization (trends and future directions) (ICRITO) IEEE., pp.619-622, 2020.
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