Research Article
Current practices and Limitations in E Health Informatics
@ARTICLE{10.4108/eetsc.v6i3.2271, author={Umamaheshwari K. and Manju Rathinam and Vivekitha V. and Dinesh T. N.}, title={Current practices and Limitations in E Health Informatics}, journal={EAI Endorsed Transactions on Smart Cities}, volume={6}, number={3}, publisher={EAI}, journal_a={SC}, year={2022}, month={9}, keywords={E-health, Cognitive Disorder, Therapy, Healthcare}, doi={10.4108/eetsc.v6i3.2271} }- Umamaheshwari K.
Manju Rathinam
Vivekitha V.
Dinesh T. N.
Year: 2022
Current practices and Limitations in E Health Informatics
SC
EAI
DOI: 10.4108/eetsc.v6i3.2271
Abstract
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.
Copyright © 2022 Umamaheshwari K. et al., licensed to EAI. 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.
