Current practices and Limitations in E Health Informatics
Challenges and Current Trends in Healthcare
DOI:
https://doi.org/10.4108/eetsc.v6i3.2271Keywords:
E-health, Cognitive Disorder, Therapy, HealthcareAbstract
E-health is a field which as seen tremendous growth in the recent times especially after the covid-19 outbreak. E-health offers the potential to provide patients with high-quality care at a reasonable cost in the ease of their own homes. E-health has a wide range of application that includes rehabilitation, cognitive disorder, behavioural therapy, defence application and many more. E-health as a technology is changing tremendously and always been evolving to meet the demands of the current practices. But still, it has certain challenges in implementing such as ethical issues, patient contest etc. Artificial intelligence framework capable of using non-consultancy, reinforcement learning, and all three. Controlling the processes within the m-Health application, choosing the best processes that can be used to alter the user's existing conditions, or selecting the best diagnosis-solution from an array of choices are all supported by intelligent optimization algorithms that can offer faster feedback.
Downloads
References
Christensen H, Hickie IB. Using e‐health applications to deliver new mental health services. Medical Journal of Australia. 2010 Jun;192:S53-6. DOI: https://doi.org/10.5694/j.1326-5377.2010.tb03695.x
Kostkova P. Grand challenges in digital health. Frontiers in public health. 2015 May 5;3:134. DOI: https://doi.org/10.3389/fpubh.2015.00134
Nijhawan LP, Janodia MD, Muddukrishna BS, Bhat KM, Bairy KL, Udupa N, Musmade PB. Informed consent: Issues and challenges. Journal of advanced pharmaceutical technology & research. 2013 Jul 1;4(3):134.
Nijhawan LP, Janodia MD, Muddukrishna BS, Bhat KM, Bairy KL, Udupa N, Musmade PB. Informed consent: Issues and challenges. Journal of advanced pharmaceutical technology & research. 2013 Jul 1;4(3):134. DOI: https://doi.org/10.4103/2231-4040.116779
Graham HJ. Patient confidentiality: implications for teaching in undergraduate medical education. Clinical anatomy. 2006 Jul;19(5):448-55. DOI: https://doi.org/10.1002/ca.20345
Noroozi M, Zahedi L, Bathaei FS, Salari P. Challenges of confidentiality in clinical settings: compilation of an ethical guideline. Iranian Journal of Public Health. 2018 Jun;47(6):875.
Onik MM, Aich S, Yang J, Kim CS, Kim HC. Blockchain in healthcare: Challenges and solutions. InBig data analytics for intelligent healthcare management 2019 Jan 1 (pp. 197-226). Academic Press. DOI: https://doi.org/10.1016/B978-0-12-818146-1.00008-8
Lohiya R, John P, Shah P. Survey on mobile forensics. International Journal of Computer Applications. 2015 Jan 1;118(16). DOI: https://doi.org/10.5120/20827-3476
Vel'asquez W, Munoz-Arcentales A, Salvach'ua JI. E-Health Services Role in a Smart City-A View after a Natural Hazard. Engineering Letters. 2019 Dec 1;27(4).
Das A, Rad P. Opportunities and challenges in explainable artificial intelligence (xai): A survey. arXiv preprint arXiv:2006.11371. 2020 Jun 16.
Shariful IM. Theories applied to m-health interventions for behavior change in low-and middle-income countries: a systematic review. Telemedicine and e-Health. 2018 Oct 12.
Afrah IA, Kose U. MHealth: An Artificial Intelligence Oriented Mobile Application for Personal Healthcare Support. arXiv preprint arXiv:2108.09277. 2021 Aug 18.
Downloads
Published
How to Cite
Issue
Section
Categories
License
Copyright (c) 2022 Umamaheshwari K., Manju Rathinam, Vivekitha V., Dinesh T. N.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.