Medicloud: Hybrid Cloud Computing Framework to Optimize E-Health Activities

Abstract

Cloud computing is emerging technology and its usage in health sector is marvelous. It enhances the patient treatment process and allows the physicians to get remotely access to patient medical record anywhere and anytime. Numerous cloud based solution are working currently and offering facilities to people in rural area of developing countries. It is estimated by global healthcare that within few years of adoption of cloud in health sector will increase drastically whereas cloud based health services have opportunities and challenges as well. Privacy, security, interoperability and standards are the factors that influence cloud computing in e-health. For cloud adoption, organization must understand the existing requirements and make strategy for further development. Cloud offers service and deployment model, each organization select the appropriate model according to their requirements. Interesting thing in cloud is that the responsibility is shared among provider and customer from usage perspective. For initiation of whole procedure service level agreement is signed among customer and provider. Organization can access the cloud services from multiple providers. Hybrid cloud computing is best suitable architecture for health organizations. The whole scenario will provide ease to physician and patient and maximize the work production.

Authors and Affiliations

Hina Kunwal, Dr. Babur Hayat Malik, Amber Saeed, Husnain Mushtaq, Hassan Bilal Cheema, Farhat Mehmood

Keywords

Related Articles

Towards GP Sentence Parsing of V+P+CP/NP Structure

Computational linguistics can provide an effective perspective to explain the partial ambiguity during machine translation. The structure of V+Pron+CP/NP has the ambiguous potential to bring Garden Path effect. If Tell+P...

Instant Human Face Attributes Recognition System 

The objective of this work is to provide a simple and yet efficient tool for human attributes like gender, age and ethnicity by the human facial image in the real time image as we all aware this term that “Real-Time fram...

A Hybrid of Multiple Linear Regression Clustering Model with Support Vector Machine for Colorectal Cancer Tumor Size Prediction

This study proposed the new hybrid model of Multiple Linear Regression Clustering (MLRC) combined with Support Vector Machine (SVM) to predict tumor size of colorectal cancer (CRC). Three models: Multiple Linear Regressi...

Unmanned Ground Vehicle with Stereoscopic Vision for a Safe Autonomous Exploration

At present there are several systems in cars that provide assistance to the driver and the tendency is that these systems are increasingly efficient and that for their operation do not require the intervention of the dri...

Evaluating Usability of E-Learning Systems in Universities

The use of e-learning systems has increased significantly in the recent times. E-learning systems are supplementing teaching and learning in universities globally. Kenyan universities have adopted e-learning technologies...

Download PDF file
  • EP ID EP261120
  • DOI 10.14569/IJACSA.2017.080934
  • Views 92
  • Downloads 0

How To Cite

Hina Kunwal, Dr. Babur Hayat Malik, Amber Saeed, Husnain Mushtaq, Hassan Bilal Cheema, Farhat Mehmood (2017). Medicloud: Hybrid Cloud Computing Framework to Optimize E-Health Activities. International Journal of Advanced Computer Science & Applications, 8(9), 238-244. https://europub.co.uk./articles/-A-261120