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000-106 exam Dumps Source : Power Systems with POWER7 Common Technical Sales Skills (R) v1

Test Code : 000-106
Test name : Power Systems with POWER7 Common Technical Sales Skills (R) v1
Vendor name : IBM
: 115 real Questions

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IBM IBM Power Systems with

ScyllaDB offers aid for IBM verve techniques with its multi-core structure | killexams.com real Questions and Pass4sure dumps

ScyllaDB introduced on Wednesday a brand unique Scylla commerce liberate with optimizations for IBM PowerTM system Servers with the IBM POWER9 multi-core architecture. with the aid of combining Scylla’s totally performant, close-to-the-hardware design with next-era IBM vigour apparatus Servers, corporations can attain unique degrees of efficiency whereas likewise decreasing the footprint, charge and complexity of their programs.

Scylla database variants with support for IBM verve systems can exist institute for download from the ScyllaDB web page.

This integration builds upon a multi-faceted relationship between ScyllaDB and IBM. In 2016, IBM Compose began featuring Scylla as fraction of their database-as-a-provider providing. The collaboration has on the grounds that grown to encompass additional IBM divisions, including IBM methods (both IBM energy programs and Z systems), IBM Cloud (including IBM Graph as a carrier) and IBM’s inner utilize of Scylla to verve the IBM Cloud provider Catalog.

absolutely compatible with Apache Cassandra, Scylla embraces a shared-nothing method that increases throughput and storage means to 10X that of Cassandra. AppNexus, Samsung, Olacabs, seize, Investing.com, Snapfish, Zen.ly, IBM’s Compose and a lot of extra main businesses accommodate adopted Scylla to recognize order-of-magnitude performance improvements and in the reduction of hardware charges.

ScyllaDB became situated through the crew answerable for the KVM hypervisor and is backed by Bessemer challenge partners, Innovation Endeavors, Wing assignment Capital, Qualcomm Ventures, Magma mission partners, Western Digital Capital, Samsung Ventures, and TLV partners.

Scylla is an open source drop-in replacement for Apache Cassandra. It gives you scale-up efficiency of 1,000,000 IOPS per node, scales out to a all lot of nodes, and consistently achieves a ninety nine% tail latency of lower than 1 millisecond. Scylla’s pioneering shard-per-core implementation, asynchronous structure and auto-tuning capabilities allow groups to automatically leverage the complete advantages of the multi-core POWER9 chip.

IBM energy methods servers are designed for mission-critical functions and rising Cognitive era workloads together with synthetic intelligence, machine getting to know, profound learning, superior analytics and excessive-efficiency computing. whether deployed in a personal, public or hybrid cloud, verve apparatus Servers are capable of performing tens of millions of I/O operations per 2nd. as a result of Scylla operates asynchronously, it is in a position to occupy replete capabilities of the velocity of the POWER9 processor, riding each I/O and CPU processing in a method that scales linearly with the number of cores on the CPU.

“ScyllaDB has designed a magnificent disbursed database that extends the efficiency advantages we’ve introduced with their multi-core POWER9 processors,” referred to Tim Vincent, IBM Fellow and vice president of IBM Cognitive systems. “The compund of the Scylla NoSQL database and their energy gadget Servers allows for their shared shoppers to scale up their systems in preference to constantly scaling out, growing unique opportunities for data middle consolidation and cost performance.”

“we are excited through the various advancements IBM has made with its verve system Servers,” observed Dor Laor, CEO of ScyllaDB. “As information volumes proceed to boost, companies should system enhanced workloads yet additionally prevent introducing greater complexity into their techniques. The combination of Scylla and IBM POWER9 delivers extraordinary efficiency, scale, density and effectivity whereas tremendously simplifying the administrative tribulation of massive facts methods.”


IBM Launches unique techniques, software, capabilities for Hybrid Cloud | killexams.com real Questions and Pass4sure dumps

First identify: ultimate name: e mail handle: Password: ascertain Password: Username:

Title: C-degree/President supervisor VP staff (associate/Analyst/and many others.) Director

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H2O.ai companions with IBM to deliver enterprise AI to IBM power methods | killexams.com real Questions and Pass4sure dumps

MOUNTAIN VIEW, Calif.--(company WIRE)--H2O.ai, the enterprise bringing AI to agencies, nowadays introduced that it has partnered with IBM to present its next-technology AI platform, GPU-powered machine learning, and top-quality-of-breed profound learning on IBM’s energy® techniques platform.

IBM has collaborated with fellow technology trade leaders through the OpenPOWER foundation to radically remodel the platform at the chip and device tiers by incorporating using a wide reach of accelerators to obtain more desirable ranges of efficiency than attainable on natural commodity servers. IBM’s energy structure with the unique NVLink™ interface provides an advanced and most economical platform for prime efficiency analytics. the brand unique NVLink™ interconnects considered in IBM power techniques S822LC (codename: ‘Minsky’) machines open a a sound deal wider course between the CPU and GPU, enabling H2O’s next era AI platform to accumulate highest performance gains viable.

H2O.ai subsequent era AI utility – premiere-of-breed desktop gaining learning of and profound gaining learning of it truly is optimized for GPUs – can now occupy learning of IBM’s energy architecture to supply organizations with quickest performance viable and the best expense-performance learning for AI computing. IBM customers can additionally flee H2O algorithms during the IBM records Science event platform to manage and collaborate on facts science initiatives. in addition, H2O is likewise attainable on the IBM’s Biginsights and IOP platform for agencies.

“H2O’s interpretable, accurate and quickly algorithms democratize the monetization of facts with AI. IBM vigour techniques gives a resilient and enormously attainable computing platform for H2O.AI shoppers,” said Sri Ambati, CEO and co-founder of H2O.ai. “we're excited to companion with the IBM group to amplify the transformation of the enterprise with AI.”

H2O is the mediocre open-source AI platform of option for commercial enterprise businesses. more than 9,000 companies and a 3rd of the Fortune 500 agencies are the usage of H2O.ai’s open source platform to derive charge from statistics with desktop getting to know and profound getting to know and accumulate hold of real-time insights and Make actionable selections.

“In 5 years, A.I. should exist behind your every determination. They want to do the strongest AI software within the hands of their customers and H2O is a complementary addition to the IBM PowerAI profound learning application distribution,” noted Sumit Gupta, VP, HPC, AI and Analytic at IBM. “H2O operating on IBM power systems allows agencies to leverage the better of breed software on IBM’s powerful hardware to accumulate more value of their records.”

H2O.ai has enjoyed a banner 12 months up to now. a few of H2O’s mission vital purposes consist of predictive preservation, operational intelligence, safety, fraud, auditing, churn, credit scoring, person primarily based coverage, predicting sepsis, ICU monitoring and extra. The commerce become named a stout Performer in the Forrester Wave™: Predictive Analytics & computing device getting to know (PAML) solutions, Q1 2017 document by using Forrester research in March, a Visionary in Gartner’s February Magic Quadrant and certainly one of CB Insights’ AI one hundred in January.

For greater assistance about H2O.ai, gladden consult with www.h2o.ai.

About H2O.ai

H2O.ai is focused on bringing AI to corporations through application. Its flagship product is H2O, the main open source platform that makes it effortless for monetary capabilities, coverage and healthcare companies to set up AI and profound researching to unravel advanced problems. greater than 9,000 organizations and 80,000+ records scientists dependence upon H2O for vital applications relish predictive maintenance and operational intelligence. The company -- which was these days named to the CB Insights AI one hundred -- is used via 169 Fortune 500 enterprises, together with eight of the area’s 10 largest banks, 7 of the 10 biggest coverage businesses and four of the birthright 10 healthcare groups. exquisite purchasers consist of Capital One, modern assurance, Transamerica, Comcast, Nielsen Catalina solutions, Macy's, Walgreens and Kaiser Permanente.

observe us on Twitter @h2oai. To exist trained greater about H2O customer utilize instances, gladden consult with http://www.h2o.ai/purchasers/ exist a fraction of the move.




Killexams.com 000-106 Dumps and real Questions

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000-106 exam Dumps Source : Power Systems with POWER7 Common Technical Sales Skills (R) v1

Test Code : 000-106
Test name : Power Systems with POWER7 Common Technical Sales Skills (R) v1
Vendor name : IBM
: 115 real Questions

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Sophie Wilson: ARM and How Making Things Simpler Made Them Faster & More Efficient | killexams.com real questions and Pass4sure dumps

Sophie Wilson is one of the leading lights of modern CPU design. In the 1980s, she and colleague Steve Furber designed the ARM architecture, a unique approach to CPU design that made mobile computing possible. They did this by realizing that you could enact more, and quicker, with less. If you’ve utilize a Raspberry Pi, or any of the myriad of embedded devices that flee on ARM chips, you’ve enjoyed the fruits of their labor.

It Gross began for Sophie Wilson with an electric lighter and a slot machine (or fruit machine, as they are called in the UK) in 1978. An aspiring thief had figured out that if you sparked an electric lighter next to the machine, the resulting wideband electromagnetic pulse could trigger the payout circuit. Electronics designer Hermann Hauser had been tasked with fixing the problem, and he turned to Wilson, a student working at his company.

Wilson quickly figured that if you added a small wideband radio receiver to detect the pulse, you could suppress the wrong payout, foiling the thief. Impressed with this innovation, Hauser challenged Wilson to build a computer over the summer holidays, based in fraction on a design for an automated cow feeder that Wilson had created at university. Wilson created this prototype computer that looked more relish a hand-wired calculator than a modern computer, but the design became the basis for the Acorn System 1, the first computer that Hauser’s unique company Acorn Computers launched in 1979.

Wilson had graduated from the University of Cambridge by this time and had joined Acorn as the lead designer. The System One was unusual in that it was cheap: priced at £65 (under $90) the computer was sold as a kit that the user would assemble and solder themselves. It was built around a 1 MHz 6502 CPU, with 1152 bytes of RAM.

Several unique versions of this computer were launched in the following years, adding features relish expansion cards. These were current among enthusiasts, but None caught the public imagination in the passage that the company hoped.

A Computer in Every School Hermann Hauser, Andy Hopper, Christopher Curry, Sophie Wilson, David Allen, Chris Serle, David Kitson, Chris Turner, Steve Furber at the BBC Micro 30th anniversary in 2012. From Wikipedia.

Acorn’s gargantuan rupture came with the BBC Micro, a computer that was designed to chaperone a computer literacy program flee by the UK broadcaster.  The BBC Micro was designed to exist rugged enough for educational use, with a full-size keyboard, a BASIC interpreter, a modulator that allowed it to exist connected to a touchstone TV and an interface to save and retrieve programs to a touchstone audio cassette recorder. It was a huge hit, selling over 40,000 machines a month and appearing in 85 percent of UK schools.

By this time, though, Wilson’s thoughts were shifting elsewhere. The BBC Micro used the same 6502 processor as their previous computers, but Wilson and others at the company were not satisfied with the amount of computing power this provided. So, they decided in 1983 to build their own CPU for future computers.

Several factors influenced this decision. One was a visit to the company that made the 6502, where they realized that one person was working on the next version of this CPU. This showed that you didn’t requisite a huge team to design a CPU: as long as you had a ally who could create the chip for you, it wasn’t that difficult. The second was a project called the Berkeley RISC project, which stood for Reduced Instruction Set Coding. The credit behind this was that if a CPU was built to only flee a very small set of instructions, it could flee faster and more efficiently. Rather than add more instructions to the processor itself, the operating system running on top of the processor would rupture tasks down into the simpler instructions that the CPU would flee faster.

This credit appealed to Wilson. So, she and colleague Steve Furber designed their own instruction set, creating a simulator on a BBC Micro that convinced others at the company that the approach was worthwhile. They called this Project A, but it was later christened the Acorn RISC Machine or ARM.

Smaller, Faster, and Better

The architecture of their system was fundamentally different to most CPUs. Wilson and others had tested the 6502 and other similar processors and institute that they could only handle a limited amount of data. Most CPU designers were adding more instructions to their chips, providing unique ways that the CPU could handle and process this data. Wilson and Furber took the opposite approach, removing parts until they had the bare bones that were needed, creating a chip that was simpler and required less power than existing CPUs. This meant that it was much easier to Make the CPU deal with bigger numbers. Because the architecture was simpler, you could more easily create 16 or 32-bit CPUs. By creating less, Wilson and Furber produced a chip that could enact more.

Let’s occupy an instance — one that Wilson uses herself. The 6502 CPU that she used in the BBC Micro would occupy 2 clock cycles, or about 1 microsecond to add two 8-bit numbers together. But when you start using the larger numbers that most computing tasks require, the 6502 is hobbled by having to deal with these numbers in 8-bit chunks.  That’s because the 6502 only works with 8 bits of data at once (called the data bus width), so it needs to chop up bigger numbers into 8-bit chunks and add these chunks together individually, which takes time. In fact, the 6502 would requisite 26 clock cycles to add together two 32-bit numbers.

You could build a version of the 6502 that would accommodate a larger data bus width, but that exponentially increased the number of transistors that the chip required: you quickly halt up needing millions of transistors to handle the complicated operations on these bigger data chunks. Alternatively, you could enact what Steve Wozniak did with Sweet16, a hack he wrote for the Apple II (which used the same 6502 processor as the BBC Micro) that effectively created a virtual 16-bit processor. The problem was that this ran at a tenth of the accelerate of the 6502.

By contrast, the first ARM CPU that Wilson and Furber built had a 16-bit data bus width and ran at a faster clock accelerate than the 6502, so it could add two 32-bit numbers in nine clock cycles, or about 125 nanoseconds. And it could enact that on a chip that wasn’t much bigger than the 6502. It could enact this because the simpler architecture was easier to scale up to flee with the bigger data bus widths. Because it only had to process a small number of instructions, the chip was simpler and faster.

Wilson and Furber designed a CPU, graphics chip, and reminiscence controller that worked together to create a complete system for testing, which was delivered in 1985. When Furber decided to measure how much power this test processor was using, his multimeter failed to detect any power flow. Furber investigated, and realized that the evolution board they were using was faulty: it was not delivering any power to the CPU. Instead, the processor was quite happily running on the power delivered over the signal lines that fed data into the CPU.

Acorn quickly realized the potential of this design and moved to patent the techniques it used. This created the first practical RISC architecture, called ARM V1. This has been through several iterations since, but the fundamentals remain the same: a small number of instructions that can flee quickly are more efficient than a lot of instructions that occupy a long time to run.

While Wilson was creating the first ARM CPUs, Acorn itself was in trouble. The BBC Micro, while popular, was expensive to produce, and production problems had meant that the company missed the Important holiday buying season in 1983. Although over 300,000 BBC Micros had been ordered, only 30,000 were delivered by Christmas 1983. On top of that, the company had borrowed significantly to scale up production and develop the follow-up model, the BBC Master. One creditor had grown frustrated and tried to shut the company down, a process that leads to layoffs and monetary issues that eventually involve that Acorn was sold, passing through the hands of a number of different companies and spinning off the ARM fraction of the company, which quickly became worth more than Acorn itself.

The ARM architecture itself took some time to become popular, but the main driver for this was mobile computing. Because power is at a premium in a mobile device, the ARM architecture is ideal, as it can flee more operations on less power than more complicated chips. In fact, the ARM architecture is quiet used on most mobile phones, laptops and other devices, with companies relish Apple, Samsung and many others licensing the ARM architecture for utilize in their mobile processor.


The Costs and Implications of EHR System Downtime on Physician Practices | killexams.com real questions and Pass4sure dumps

Executive SummaryGovernment funding incentives (ARRA HITECH Act) to implement electronic health record systems (EHR) are driving most physicians towards the selection and implementation of EHR applications that are appropriate to their practice. However, even though the mediocre drill takes more than 120 days to select their EHR solution, 87% of practices spend no time evaluating the service levels and uptime associated with these installations, instead leaving this Important criterion in the hands of the software provider. Even when asked, some vendors avoid this growing requisite and proffer no solution at all, leaving it as a point of exposure for the practice. Neglecting the amount of system downtime that a drill might experience could cost the mediocre 5-physician drill nearly $25,000 if the product is down just ten hours during the course of a year. Therefore before selecting an EHR product, the drill should not only deem price, functionality, usability, support, and training. It must likewise determine the practice’s exposure to the potential sequel of system downtime. This will impact the overall drill efficiencies, staff and client satisfaction, and the capacity to provide care.

Why Is Controlling Downtime Costs ImportantAs seen in the AC Group 2010 Healthcare Technology Survey, four of the top five healthcare applications deemed most Important over the next four years relate to mission censorious clinical applications. These applications involve Electronic Health Records (EHR), patient portals, Clinical Information Systems, Clinical Data Repository, and Point-of-care clinical conclusion support.

Why are clinical applications so Important now? A few years ago a group of leading Fortune 500 companies and other big healthcare group purchasers worked with the federal Office of National Coordinator (ONC) to established three standards that healthcare organizations must meet to accumulate group members’ business; number one on the list is implementing an EHR system. Since then, numerous organizations accommodate pressured physicians to start adopting EHR applications. These organizations evaluate that clinical applications can help the attribute of patient health and can reduce serious prescribing errors by more than 50 percent. They believe that overall better healthcare monitoring and clinical reasoning can help patient safety, which in swirl equals improved monetary value - not just for employers, but likewise for providers, consumers, and payers of charge as well.

The downtime issue escalates when a healthcare organization deploys applications that are used primarily by Physicians. For example, at this year’s MGMA conference, a panel of physicians agreed that system accelerate and availability was censorious in their conclusion to utilize an ambulatory EHR application. The panel agreed that, if the system was NOT available a minimum of 99% of the time, then they would not deem the application dependable enough to utilize in the future.

What this panel failed to deem or realize is that 99% uptime translates into an mediocre of more than 87 hours of solution downtime annually. The cost associated with that amount of downtime is tens of thousands to hundreds of thousands of dollars, depending on drill size.

Cost of DowntimeTo support understand the cost of downtime associated with Electronic Health Record (EHR) systems, AC Group conducted a study during 2010 designed to shed more light on this Important issue. It was determined that, in the rush to adopt Electronic Health Record (EHR) applications, system availability requirements associated with the underlying IT systems are often overlooked. This can result in significant costs – both monetary and operational – based on the probable downtime per year associated with different systems and configurations. As the drill becomes increasingly reliant on electronic records, the software application should accommodate little-to-no downtime, as any downtime can adversely impress the charge of a patient and expand operating costs.

To effectively implement censorious applications, whether EHR or PMS, the clinical community must exist assured that the application will exist available and dependable when they requisite it. To accomplish this, physicians and administrators MUST insure that their EHR vendor’s software and the hardware platform it runs on will operate at a committed level of uptime acceptable to the practice. Software providers may or may not recommend or provide a high-availability platform solution (either hardware or software) for their applications. But, that does not involve practices and clinicians should not Make this a requirement for the censorious applications that they depend on to flee their practices and charge for patients. Having said that, physicians should hope that the responsibility to require service levels and obtain availability SLAs will plunge to them.

An EHR vendor who cannot provide an availability solution that meets today’s industry definition of tall availability –less than one hour of unplanned downtime per year – can easily cost the drill more than $488 per hour of downtime for each physician in the practice. For the mediocre server deployed in most practices to support an EHR application, the expected downtime averages 87 hours per year. Even traditional server cluster options which engage tall availability statistically mediocre over four hours per year, with complicated operating requirements which add significant additional costs in equipment, maintenance and administration. On a per physician basis these costs, as well as the disruption to operations and patient care, can exist staggering.

Healthcare executives’ concept of acceptable downtime, and conversely uptime, for censorious applications has historically lagged virtually Gross other industries. A review of 37 vendor contracts indicated that vendors are only providing an uptime guarantee of 96%. What does 96% availability mean, and is that sufficient? Is 99.99% uptime even attainable at reasonable cost, and what cost is reasonable? What amount of downtime are you willing to accept? What does a vendor’s uptime guarantee really involve to a healthcare organization and patient care? The differences between uptime levels in terms of monetary impact and drill disruption will amaze even the most experienced healthcare provider and healthcare IT executive, alike.

Value of UptimeTime is money. A drill committed to an EHR solution will suffer both monetary and care-giving consequences if that system is unavailable to them. How much impact depends on these factors:

  • Level of technology in utilize by a physicians practice: drill Management (PM) only, PM and EHR, Clinical Outcomes and conclusion Support
  • Size of the physician’s practice
  • The level of uptime (i.e. capacity to utilize the system) delivered by the total solution
  • Obviously, the greater a practice’s reliance on technology, the greater the impact when the application goes down in terms of the mediocre cost of the outage itself. That is, a drill that quiet relies on manual data entry and drill management will not suffer the same twinge as a full-blown EHR-based drill because they dependence on technology less to conduct their routine business. (Conversely, the paper-based drill does not realize the many benefits of a smooth-running EHR solution.) It is not only the time required to manually conduct commerce during the outage that contributes to cost. It’s likewise the time required to bring the automated systems up to date post- recovery. They refer to this as the multiplier sequel - the mediocre cost per employee for a minute of downtime, plus the cost of time needed to return to conventional operation after system recovery.

    The 2010 Downtime StudyAC Group conducted time/motion studies of various size practices, in varying stages of EMR deployments, to determine the mediocre cost per minute of downtime for small, mid-size and big physician practices. The three-month study was completed on November 1, 2010 and was based on actual healthcare organization man-hours, salaries, and workload numbers by individual enterprise department. The study evaluated the amount of time each drill spends (1) collecting, (2) reporting, (3) organizing, and (4) disseminating information. Note: throughout this paper they utilize the overall term “Information” to narrate these four functional areas. Some of the particular findings included:

  • Nursing spends 57.4% of its annual man-hours on automated “information”, (collecting, reporting, organizing, and disseminating information).
  • Non-nursing departments (registration, scheduling, billing, etc) spend 87.4% of their man-hours on automated “information”.
  • The typical EHR-enabled drill spends 71.45% of Gross man-hours on automated “information”. This is compared to the mediocre non-EHR enabled drill that only spends 28% of its annual man-hours on automated “information”, but spends an additional 48% of man-hours on manual “information”.
  • Using this information, the AC Group was able to identify and validate that for every minute an EHR application is down the mediocre physician drill spends 2.15 minutes to fulfill the required tasks manually plus the time required to update the computer systems once the system is back up and operating. Using the mediocre practice’s actual financial, man-hour, and workload statistics, the AC Group determined that the mediocre cost of downtime was $8.13 per minute per provider, which equates to a median across Gross drill sizes and specialties of almost $488 per hour.

    Calculating the cost of downtime

    SummaryBased on the findings from this study, compromising on software and/or hardware uptime assurance can exist financially punishing in the long-run, not to mention operationally disruptive with increased susceptibility to data-entry errors during recovery. This discovery renders even more evident the extreme consequence of evaluating system uptime specifications when measuring and rating the performance of a vendor’s product.

    Again it is Important to note here that the overwhelming majority of EHR software vendors will not involve uptime SLAs in their contracts without specifically being required to enact so. If required by the healthcare organization, almost every vendor indicated that the cost of the system would expand from 5% to 20% for each 1% expand in uptime guarantee over and above the touchstone 96% uptime level. Considering the uptime assurance solutions on the market today, there is Little justification, if any, to attach such a 5-20% premium for ensuring such mission-critical applications remain available without exception. The best availability products will exist industry-standard (i.e. Windows, Linux, x86 processors), require no special skills to operate and manage, will monitor, self manage and automatically remediate system issues, reduce break for human-induced system failures, and deliver an excellent return on investment when evaluated on Total Cost of Ownership (TCO) basis.

    The healthcare industry must continue to align its IT expenditures with commerce initiatives by adapting a comprehensive system for determining IT strategies, expenditures, and staffing requirements based on best practices. Healthcare organizations must drive enterprise-wide systems that sustain a constant innovation cycle in the unique competitive environment. To accomplish this, they must learn to match their healthcare organization skills and requirements with their current commerce environment, or puss extinction.

    Although software vendors rarely provide uptime commitments, a physician’s drill should require written documentation that the proposed EHR application meets today’s generally accepted standards for tall availability (i.e. less than one hour of unplanned downtime per year on average) in actual installations, or that its software is certified to flee on high-availability products from other vendors with no performance impact.

    The challenge ahead for healthcare organizations is enormous. They Gross know that operational and cost barriers exist when selecting a system; nevertheless, the potential benefits of clinical applications and EHR, in terms of patient safety and attribute of care, operational efficiency and cost reduction, competitive advantage, and market share gain are tremendous. They believe that every healthcare organization is in a powerful position to support enhance recording, reporting, and dissemination of clinical data. To accomplish this, the healthcare organization MUST insure that the vendor can guarantee an adequate system uptime, especially with EHR applications. Those who succeed will receive industry-wide recognition and ultimately reward for their organizations. Key to evaluating clinical systems must exist the healthcare organization’s recognition that downtime costs are an Important factor for every

    healthcare organization. Healthcare organizations must ensure that downtime is minimized through proximate system management and by working closely with each technology provider.

    Availability OptionsRegardless of whether the physicians’ office maintains its own IT staff, or has consultants forward onsite to manage IT operations, or relies entirely on a third-party to oversee its EHR applications offsite sight unseen, system downtime quiet levies the same cost on the practice. Any preference made to provide uptime quiet possesses levels of complexity in operations and ongoing management, and requires a groundwork level of professional skills to operate reliably. It is vitally important, as they accommodate demonstrated, that those who Make the purchasing decisions and/or occupy responsibility for IT system health know the level of uptime they should hope from offerings provided by their software provider, value-added reseller, or managed service provider.

    Following is a description of common platform, software and hardware offerings deployed in conjunction with EMR applications. Each has its own characteristics and capacity to provide uptime assurance.

    Robust standalone server: The current generation of x86 servers includes features relish redundant fans and power supplies, hot-plug PCI card, and mirrored memory, offering improved reliability over unadorned commodity servers. They can exist expected to flee at 99.0% uptime reliability, with complementary mediocre downtime of more than 7 hours per month. The issue with standalone servers is not so much reliability of the individual server, but rather the time it takes to impress repair or replacement, and return EMR applications to replete production.

    Cold standby: Keeping a second server on hand to provide back-up is an option, but undesirable for mission-critical such as EMR applications. Connecting a replacement server to a shared disk array, or stirring disks from the primary server to the back-up generally requires a skilled administrator. It likewise scarcely improves protection against downtime, although it could provide some capitalize to getting online a bit more quickly (assuming the back-up server works when called upon).

    Data replication: This off-the-shelf software option replicates data files synchronously or asynchronously from one or more servers to a target server. Should a source server fail, the target server takes over either automatically or through manual intervention. Depending on the product chosen and overall system configuration complexity, this option may thrust uptime reliability to as tall as 99.9%, or three-quarters of an hour of downtime per month.

    High availability clusters: Two or more ordinary servers connected by software into a single network are the basis of an HA cluster. The cluster configuration is difficult to build, operate and manage. Although Microsoft has made recent improvements to Windows Cluster Service, this approach to availability remains fundamentally complex. Clustering is re failure-recovery technology. When one node in cluster fails, the application fails over to a survivor node – not as facile or as quickly as it sounds. Invariably, there will exist failover delay, and data that had not been committed to reminiscence (in-flight data) will exist lost. This custom-built option can achieve 99.9% uptime and, if meticulously designed, configured, administered, and maintained by skilled staff, may achieve 99.95%. Clusters are frequently cited as offering the highest availability, but that is only because it is the best uptime major server vendors can offer.

    Virtualization software: Many view virtualization software as an availability solution unto itself. It is not. It does accommodate such attributes, but they forward at a cost, both in licensing, additional equipment, stringent configuration requirements, and management tools, not to mention the complexity of, and skills required to utilize virtualization software in the first place. Availability will exist no better than a cluster, but virtualization does provide other benefits such as reducing the number of physical servers needed to support a greater number of applications, and Gross the cost savings associated with reducing server count.

    High availability software: Software products accommodate forward to market in the past few years that provide better availability on commodity servers than clusters, are significantly less expensive, as well as simpler to utilize and maintain. The software essentially creates a high-availability computing platform upon which to flee EMR applications. The best of these products proactively manages and monitors its own operation, prevents downtime and data loss from occurring (unlike clusters), supports multiple operating systems, and has virtualization software built in. Regardless of whether the physician installs the software or the value-added reseller delivers it as fraction of a total solution, it is easily accomplished and produces a high-availability computing platform exceeding 99.99%, i.e. less than five minutes of downtime per month on average.

    Continuous availability servers: Designed specifically to prevent downtime and data loss from occurring in the first place, “fault-tolerant” servers involve complete component redundancy and mistake detection circuitry. Automatic foible detection and correction is engineered into the design so that most errors are resolved without the user or the application being impacted at all. You can hope better than 99.999% uptime from this platform, or just seconds of downtime per month. While the cost may exist higher at the outset, the uptime performance and operational simplicity of foible tolerant server is very cost efficacious from the perspective of total cost of ownership (i.e. advantages in software licensing, maintenance, staffing, software patching and updating, etc.).


    Texas is only 6000 years old! | killexams.com real questions and Pass4sure dumps

    During the Texas status Board of Education hearings on science standards for Texas schoolchildren, BoE member and staunch creationist Barbara Cargill decided that the age of the Universe was up for vote. Oddly enough, I had some issue with that. You may vote on issues Gross you want, and you can even vote on morality if you’d like, but scientific reality is not a matter of feeling and cares not for the majority vote.

    The National seat for Science Education has video of the moment where it becomes lucid that Ms. Cargill, not blissful enough to raze biology for students, proposes an amendment to creationize astronomy as well:

    Listening to her gives me the heebie-jeebies. About the astronomy standards, she says "…there are different estimates [of the age of the Universe]… they will exist taught about 12 – 14 billion years ago, but this leaves it open a Little bit to argue how many billions."

    It is absolutely lucid from what she is maxim that she is deliberately trying to weaken the teaching of the develope age of the Universe. Another member queries her specifically, asking if this will open up astronomy to the teaching of literal Biblical creationism. Cargill then completely dodges the question, maxim she is simply taking the language of the recommendations. But that language is clearly maxim the Universe is old, and there is a small amount of uncertainty (actually, only about 120 million years) in the age evaluate of the Universe.

    What she did, to do it simply, is a crock. It is perfectly transparent what she wanted: to wedge open the door to allow the teaching of young-Earth creationism in the classroom, using the touchstone "strengths and weaknesses" creationist propaganda tactic.

    Need I roar it? Her amendment passed, 11 to 3.

    I honestly feel execrable for any child entering the Texas public school system over the next ten years, and I sincerely hope that the Legislature of the Lone Star status is able to occupy away the ridiculous amount of power the BoE has. They are flaunting their violation of the First Amendment of the Constitution of the United status of America (not to mention bending or breaking that pesky "false witness" Commandment), and their influence reaches well beyond their own status borders.

    Tip o’ the ten gallon hat to BABLoggee Javier Pazos for alerting me to the video.



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    Operations & Process Management: Principles & Practice for Strategic ImpactOperations & Process Management: Principles & Practice for Strategic Impact
    By Nigel Slack, Alistair Jones
    Publisher : Pearson (Feb 2018)
    ISBN10 : 129217613X
    ISBN13 : 9781292176130
    Our ISBN10 : 129217613X
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    Subject : Business & Economics
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    Computer Security: Principles and PracticeComputer Security: Principles and Practice
    By William Stallings, Lawrie Brown
    Publisher : Pearson (Aug 2017)
    ISBN10 : 0134794109
    ISBN13 : 9780134794105
    Our ISBN10 : 1292220619
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    Subject : Computer Science & Technology
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    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 126046542X
    ISBN13 : 9781260465426
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    Subject : Business & Economics
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    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
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    Understanding BusinessUnderstanding Business
    By William G Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Feb 2018)
    ISBN10 : 126021110X
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    Our ISBN10 : 126009233X
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    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
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    Publisher : McGraw-Hill (May 2018)
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    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
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    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
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    Subject : Business & Economics
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    Understanding BusinessUnderstanding Business
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    Publisher : McGraw-Hill (Jan 2018)
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    Publisher : McGraw-Hill (Feb 2017)
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    Subject : Business & Economics, Communication & Media
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