Proposing an Intelligent Cloud-Based Electronic Health Record System

  • Authors:
  • Lara Khansa;Jonathan Forcade;Girivaraprasad Nambari;Saravanan Parasuraman;Patrick Cox

  • Affiliations:
  • Virginia Tech, USA;Virginia Tech, USA;Virginia Tech, USA;Virginia Tech, USA;Virginia Tech, USA

  • Venue:
  • International Journal of Business Data Communications and Networking
  • Year:
  • 2012

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Abstract

With the aging United States population, healthcare costs have considerably increased and are expected to keep rising in the foreseeable future. In this paper, the authors propose an intelligent cloud-based electronic health record ICEHR system that has the potential to reduce medical errors and improve patients' quality of life, in addition to reducing costs and increasing the productivity of healthcare organizations. They developed a set of best practices that encompass end-user policies and regulations, identity and access management, network resilience and service level agreements, advanced computational power, "Big Data" mining abilities, and other operational/managerial controls that are meant to improve the privacy and security of the ICEHR, and make it inherently compliant to healthcare regulations. These best practices serve as a framework that offers a single interconnection agreement between the cloud host and healthcare entities, and streamlines access to private patient information based on a unified set of access principles.