Sharing Medical Information by Means of Using Intelligent Agents and Cloud Computing

Author:

Paletta Mauricio1

Affiliation:

1. Universidad Nacional Experimental de Guayana, Venezuela

Abstract

From birth to death, every human being leaves a long medical history consisting of laboratory exams, records of medical consultations, records, and hospitalizations, as well as any other important information that affects the patient's health. These are known today as Electronic Health Records (EHR) or Electronic Medical Records (EMR). However, because a person's lifestyle and health are continuously changing, most of this medical information is distributed among different institutions, cities, and even countries where the specific processes were undertaken, in possession of health insurance providers or even hidden inside a drawer of the patient's home. Therefore, aiming to enhance the availability of improved medical services at reduced costs, modern information technology is being increasingly used in the healthcare sector. Researchers, developers, and companies have made efforts to develop mobile, Web, desktop, and enterprise e-health applications raising the importance of interoperability and data exchange between e-health applications and Health Information Systems (HIS). In this regard, Cloud Computing (CC) promises low cost, high scalability, availability, and disaster recoverability, which can be a natural solution for some of the problems faced in storing and analyzing EMRs. However, CC, which is mainly defined to address the use of scalable and often virtualized resources, is still evolving. New, specific collaboration models among service providers are needed for enabling effective service collaboration, allowing the process of serving consumers to be more efficient. In this chapter, the current state and trends of CC in healthcare are presented as well as a detailed collaboration model based on intelligent agents focusing on the EHR sharing subject. This model for enabling effective service in cloud systems is based on a recent research proposal related to defining a collaboration mechanism by means of Scout Movement. The chapter also includes details on the way in which services and service providers are clearly defined in this particular system.

Publisher

IGI Global

Reference53 articles.

1. A survey of the state of Cloud computing in healthcare.;S. P.Ahuja;Network and Communication Technologies,2012

2. Alley, D., Ahmed, T., Androvich, J., Archibald, S., Baker, A. S., Fultz, N., … Wilson, K. (2012). The Cloud computing guide for healthcare. Focus Research, 1-22.

3. Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., & Katz, R. (2009). Above the Clouds: A Berkeley View of Cloud Computing. Reliable Adaptive Distributed Systems Laboratory White Paper. Berkeley, CA: University of California.

4. Aylward, S. (2010). Cloud computing in healthcare – Private, public, or somewhere in between. The Official Microsoft Blog, New & Perspectives. Retrieved from http://blogs.technet.com/b/microsoft_blog/archive/2010/06/28/cloud-computing-in-healthcare-private-public-or-somewhere-in-between.aspx

5. Baden-Powell, R. (1908). Scouting for Boys. London: Windsor House, Bream’s Buildings, E.C. (First published ed.), C.A. Pearson.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3