Challenges of eHealth and Current Developments in eHealth Applications: An Overview

Authors

  • Saikumari V. Easwari Engineering College, Chennai, India
  • Arunraj A. Easwari Engineering College, Chennai, India

DOI:

https://doi.org/10.4108/eetsc.v6i18.2261

Keywords:

eHealth, Health Informatics, Management, eHealth programs, eHealth utility categories, Smart City, Artificial Intelligence, mHealth

Abstract

Healthcare sector is moving towards digitalization in every aspect including e-consultations, surveillance of health,and all other services in healthcare industry. eHealth ends in the remodel of conventional methods of imparting specialist healthcare offerings digitally through the use of technology aimed toward both fee-effectiveness and patient satisfaction who are the customers of health offerings. Electronic health records has been maintained by developed countries which makes evaluating patient outcome easier. which makes evaluation of patient outcomes much easier. In the health sector, a variety of new ICTs are implemented to improve the efficiency of all levels of healthcare. eHealth—or digital health—is the use of ICT to improve the ability to treat patients, facilitate behaviour change, and improve health. Advances in information and communication technology (ICT) and the dissemination of network data processing created a new environment of universal access to information and globalization of communications, businesses, and services eHealth applications were analysed to determine the brand new developments in E-health programs. In this paper, the stakeholders are identified who're accountable for contributing to a selected eHealth challenge. By analysing the current scenario of E-health, we identified the challenges faced by eHealth technologies. The factors influencing the challenges were identified and classified. The emerging trends in the field of e-Health was studied and the applications and its benefits towards the patients was also analysed. The paper also elaborates on the role of mHealth in eHealth.

Downloads

Download data is not yet available.

References

M. Carolyn Clancy, ‘‘Getting to ’smart’ health care: Comparative effectiveness research is a key component of, but tightly linked with, health care delivery in the information age,’’ Health Affairs, vol. 25, no. 1, pp. W589–W592, Jan. 2006. DOI: https://doi.org/10.1377/hlthaff.25.w589

Smart and Connected Health (SCH) Program Solicitation NSF 18-541, National science foundation, Alexandria, VA, USA, 2013.

K. Taylor, ‘‘Connected health: How digital technology is transforming health and social care,’’ Deloitte, vol. 6, p. 40, Apr. 2015.

M. Chen, J. Qu, Y. Xu, and J. Chen, ‘‘Smart and connected health: What can we learn from funded projects?’’ Data Inf. Manage, vol. 1, no. 2, pp. 141–152, 2018. DOI: https://doi.org/10.2478/dim-2018-0015

5.R. Vaishya, M. Javaid, I. H. Khan, and A. Haleem, ‘‘Artificial intelligence (AI) applications for COVID-19 pandemic,’’ Diabetes Metabolic Syndrome, Clin. Res. Rev., vol. 14, no. 4, pp. 337–339, Jul. 2020. DOI: https://doi.org/10.1016/j.dsx.2020.04.012

6. R. K. R. Kummitha, ‘‘Smart technologies for fighting pandemics: The techno- and human-driven approaches in controlling the virus transmission,’’ Government Inf. Quart., vol. 37, no. 3, Jul. 2020, Art. no. 101481. DOI: https://doi.org/10.1016/j.giq.2020.101481

7. K. Kumar, N. Kumar, and R. Shah, ‘‘Role of IoT to avoid spreading of COVID-19,’’ Int. J. Intell. Newt., vol. 1, pp. 32–35, Ja. 2020. DOI: https://doi.org/10.1016/j.ijin.2020.05.002

8. R. Shaw, Y.-K. Kim, and J. Hua, ‘‘Governance, technology, and citizen behavior in pandemic: Lessons from COVID-19 in east Asia,’’ Prog. Disaster Sci., vol. 6, Apr. 2020, Art. no. 100090. DOI: https://doi.org/10.1016/j.pdisas.2020.100090

9. M. H. Chowdhury, M. N. I. Shuzan, M. E. H. Chowdhury, Z. B. Mahbub, M. M. Uddin, A. Khandakar, and M. B. I. Reaz, ‘‘Estimating blood pressure from the photoplethysmogram signal and demographic features using machine learning techniques,’’ Sensors, vol. 20, no. 11, p. 3127, Jun. 2020. DOI: https://doi.org/10.3390/s20113127

10. A. U. Haq, J. P. Li, J. Khan, M. H. Memon, S. Nazir, S. Ahmad, G. A. Khan, and A. Ali, ‘‘Intelligent machine learning approach for effective recognition of diabetes in E-healthcare using clinical data,’’ Sensors, vol. 20, no. 9, p. 2649, May 2020. DOI: https://doi.org/10.3390/s20092649

11. S. Wang, ‘‘Augmented reality as a telemedicine platform for remote procedural training,’’ Sensors, vol. 17, no. 10, pp. 1–21, 2017 DOI: https://doi.org/10.3390/s17102294

12. R. M. Aileni, S. Pasca, and A. Florescu, ‘‘EEG-brain activity monitoring and predictive analysis of signals using artificial neural networks,’’ Sensors, vol. 20, no. 12, p. 3346, Jun. 2020. DOI: https://doi.org/10.3390/s20123346

13. M. Chand, N. Ramachandran, D. Stoyanov, and L. Lovat, ‘‘Robotics, artificial intelligence and distributed ledgers in surgery: Data is key!’’ Tech. Coloproctol., vol. 22, no. 9, pp. 645–648, 2018. DOI: https://doi.org/10.1007/s10151-018-1847-5

14. G. Ciuti, R. Caliá, D. Camboni, L. Neri, F. Bianchi, A. Arezzo, A. Koulaouzidis, S. Schostek, D. Stoyanov, C. M. Oddo, B. Magnani, A. Menciassi, M. Morino, M. O. Schurr, and P. Dario, ‘‘Frontiers of robotic endoscopic capsules: A review,’’ J. Micro-Bio Robot., vol. 11, nos. 1–4, pp. 1–18, Jun. 2016 DOI: https://doi.org/10.1007/s12213-016-0087-x

15. S. Mohammed, H. W. Park, C. H. Park, Y. Amirat, and B. Argall, ‘‘Special issue on assistive and rehabilitation robotics,’’ Auto. Robot., vol. 41, no. 3, pp. 513–517, 2017. DOI: https://doi.org/10.1007/s10514-017-9627-z

16. Protagon.gr. Expansion of the National Telemedicine Network to another 22 Aegean islands [Internet]. 2020. Available from: https://www.protagon.gr/themata/epektasi-tou-ethnikou-diktyou-tileiatrikis-se-akomi-22-nisia-tou-aigaiou-44342094422

17. Detection and Characterization of E-Health Research: A Bibliometrics (2001–2016) written by Zhiyong Liu, Jianjun Su and Lei Ji Submitted: December 24th

Downloads

Published

20-09-2022

How to Cite

[1]
S. V. and A. A., “Challenges of eHealth and Current Developments in eHealth Applications: An Overview”, EAI Endorsed Trans Smart Cities, vol. 6, no. 3, p. e1, Sep. 2022.