Considerations for Building a Healthcare Sector Private Optical Network.
|| Nov 15, 2016
|| 4 pages
In nearly all healthcare organizations today, there exists a growing demand for vast amounts of network bandwidth to do everything from helping practitioners access critical data to making split-second clinical decisions, to interconnecting resources, meeting compliance requirements, and even transmitting massive imaging files across campus or across the country. For these reasons, many healthcare organizations are evaluating the option of building dedicated, private networks or continuing to buy managed network services. This deliberation applies to campus, metro, and regional networks. In particular, the ability to build a private network is growing increasingly attractive as healthcare providers strive to support emerging eHealth initiatives, such as Electronic Medical Records (EMRs), real-time imaging and Picture Archiving and Communication System (PACS),
Computerized Provider Order Entry (CPOE), and clinical decision support and information systems, among other services.
In healthcare, as the trends supporting eHealth accelerate, the need for scalable, reliable, and secure network infrastructures will only grow. This paper describes the key factors and technologies to consider when building a private network, including:
Download our white paper to learn more.
- Transport Network Equipment
- Outside Fiber Plant
- Converged Platforms
- Reliability, Redundancy, and Protection
- Reconfigurable Networks
- Management Software
- Services, Operation, Program Management, and Maintenance
Tags : packet networking, packet networking portfolio, packet optical hie network, packet-optical transport, patient data security, private and hybrid cloud, private optical network for healthcare, private optical network for hospitals, rapidly growing bandwidth, real-time telesurgery video and data, remote imaging and diagnosis, simplify healthcare network operations, telehealth and telemedicine, telesurgery and video diagnosis, transfer massive imaging files, transmitting full-body mri images, transmitting genome data, transport network equipment, value-based care models, wan and lan convergence reduces