CLOUD COMPUTING

The adoption of cloud computing in health care industry: Diabetes as a case study



The adoption of cloud computing in health care industry: Diabetes as a case study

Abstract

Patient-centric healthcare combined with the evidence-based medicine puts significant emphasis on the prevention and wellness, and promises to deliver a healthcare that is better and much more affordable. The newly rising cloud-computing looks promising, and well suited to meet the wide array of requirements for a broad set of health care related scenarios. This paper (1) Reviews the existing health care ecosystems that are IT-enabled, (2) Gives views on the imperatives of cloud computing research, in order to offer support for IT needs, (3) It focus on effecient usage of cloud computing for diabetes.

Introduction

Patient-centric healthcare combined with the evidence-based medicine puts significant emphasis on the prevention and wellness, and promises to deliver a healthcare that is better and much more affordable. In order to reach their goal, they require shared health related information among various members of the community, comprising of patients, healthcare providers, stakeholders, organizations, and regulators. Thus, it is critical for the IT systems to enable the sharing of information within these communities. Moreover, arguments exist of developing new highly credible IT technologies, which can encourage sustainable healthcare ecosystems that can deliver collaborative, and coordinated health care system. The newly rising cloud-computing looks promising, and well suited to meet the wide array of requirements for a broad set of health care related scenarios. The ideology of infrastructure and services that are shared, in particular, forms the foundation to provide support to the health care service ecosystems. This paper reviews the existing health care ecosystems that are IT-enabled. It further gives views on the imperatives of cloud computing research, in order to offer support for IT needs in the future (Chang, Chou, & Ramakrishnan, 2009, pp. 608 - 612).

In order to reduce the management costs, clients using cloud computing generally outsource all their relative data into cloud storage servers. These data may consist of susceptible personal information, which the cloud servers are not completely trusted in providing protection. IT professionals offer encryption as a promising method to offer protection of confidentiality for the outsourced data; however, it also creates many complications on performing an effective search over the encrypted information. Many of the current works do not provide efficient searches consisting of complex query conditions. Furthermore, it requires extra care while using these works due to their potential leakages of privacy, relating to the data owners, data users, or the cloud server. The search capability authorization is an absolute necessity to reduce the privacy exposure, and develop a scalable framework for Authorized Private keyword Search (APKS) bases on the latest cryptographic primitive, Hierarchical Predicate Encryption (HPE). The offers are multi-dimensional searches that are effective and offer rage query, which enables delegation and revocation of search capability (Li, Yu, Cao, & Lou, 2011, pp. 383 - 392).

The newly emerging computing paradigm, Cloud computing, resources the computing infrastructure in order ...