July 02, 2012
DALLAS, July 2 — The "Healthcare Cloud Computing (Clinical, EMR, SaaS, Private, Public, Hybrid) Market - Global Trends, Challenges, Opportunities & Forecasts (2012 - 2017)", published by MarketsandMarkets (http://www.marketsandmarkets.com), analyzes and studies the major market drivers, restraints, and opportunities in North America, Europe, Asia, and Rest of the World.
Browse more than 100 market data tables spread through 231 pages and in-depth TOC of "Healthcare Cloud Computing (Clinical, EMR, SaaS, Private, Public, Hybrid) Market - Global Trends, Challenges, Opportunities & Forecasts (2012 - 2017)". Early buyers will receive 10% customization on reports.
This report studies the global healthcare cloud computing market over the forecast period 2012-2017.
Cloud technology in healthcare market can be segmented by applications, deployment models, service models, pricing models, and components. Applications in healthcare are of two main types; Clinical Information Systems (CIS) and Non Clinical Information Systems (NCIS). CIS includes EMR, CPOE, PACS, RIS, LIS, PIS, and others while NCIS includes Revenue Cycle Management, Automatic Patient Billing, cost accounting, payroll management, and claims management.
Private, public, and hybrid clouds are the three deployment models across the healthcare industry. The healthcare industry has been slow to adopt public clouds due to its highly regulated nature whereas the private and hybrid cloud models have a higher affinity. The healthcare cloud market by service models is further classified into Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a-Service (IaaS). The market is dominated by SaaS providers such as Carestream Health, Inc. and GE Healthcare (U.K.).
Cloud computing is a utility based or pay-per-use type of a service and the market can be categorized by two types of pricing models offered by the service vendors, the pay-as-you-go model and the subscription-based or spot pricing model. The fifth segmentation of the market is by its components namely, software, hardware, and services.
The market is witnessing a surge in the adoption of technology and cloud computing is expected to bring about a revolution in the healthcare cloud computing market. Healthcare organizations are expected to deliver more while limiting healthcare costs at the same time. Despite this a few factors restrain the growth of this market with security and privacy concerns being the primary reasons for slow adoption of this technology.
Cloud computing is estimated to serve as a boon to the healthcare industry and the market is witnessing an increased adoption of this technology. In 2011, the penetration of cloud in healthcare was approximately 4%. A large number of HCOs are allocating funds for migration to cloud computing in the next five years.
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The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.