All phases of an EHR migration require planning and an understanding of what data is needed to provide a complete EHR that supports clinical adoption, patient care, safety and satisfaction. This white paper examines the strategic considerations and challenges encountered when migrating data to a new system.
When moving to a new EHR all hospitals face the challenges of cross platform migration which includes migrating all types of historical patient data from legacy systems to new systems. In this white paper you’ll learn the steps involved in data migration, the pitfalls to avoid, steps to success.
Published By: McKesson
Published Date: Jul 09, 2015
When it comes to making decisions that positively impact care delivery and business outcomes, great leaders will tell you it’s better to rely on data than on myth. Through healthcare analytics, the clinical and financial leadership at Regions Hospital in Saint Paul, Minnesota used data to do just that—and set a strong course for reliable, trusted decision-making that helps address their most pressing issues. Using strong IT systems, accompanied by a cooperative and inquisitive organizational culture that brings together clinical and financial decision makers together to address pressing issues, put Regions on the path to create powerful healthcare analytics that fuel organizational change.
The Truven Health 15 Top Health Systems® in the United States outperform their peers by demonstrating balanced excellence—operating effectively across all functional areas of their organizations. Investigating the winner and nonwinner data from this study is a useful way to see how the nation’s health and the industry’s bottom lines could be improved. For apples-to-apples comparisons, the 15 Top Health Systems were placed into size categories by total operating expense: large (>$1.5 billion), medium ($750 million–$1.5 billion), and small (<$750 million).
Even as the move to electronic health records (EHR) progresses in earnest, there are a myriad of challenges involving legacy data systems. Chief among these challenges is the cost of maintaining obsolete systems solely for the patient information they contain. When up to 70% of a typical IT budget is spent on maintaining the current IT infrastructure and application portfolio, organizations have little left to invest in much-needed innovation. According to a recent HealthLeaders Media Survey, many organizations are still adjusting after their migration to a new EHR system. Hospitals need to get a better grasp on all forms and sources of data that they have—and the data they don’t yet have—so that the right information can be delivered to the right individual, and in the right context, at the point of care.
Business and IT leaders agree. IT Transformation is critical to compete in
the digital economy. Drive innovation and agility, lower costs and speed
deployment for real results. Modernise with leading hyper-converged, cloud,
data storage, servers, open networking and data protection systems from
Dell EMC powered by Intel
"Read the whitepaper from Human Resource Executive® to learn how data-driven technology can help you:
Save time by cutting down on paper-pushing tasks
Renew focus on important HR strategies
Use the same HR systems as Fortune 500 companies without breaking the bank"
Technology plays a key role in online shopping, where online retailers gain a greater understanding of their customers through data from their browsing and purchasing habits. Today, when consumers shop in brick-and-mortar stores, they expect the same personalized and responsive service.
To help retailers achieve this level of service, a combination of hardware and software—Intel® Vision Accelerator Design products, cameras, AI deep learning video analysis technology— do the work for you.
Uncover how Advantech system uses the Intel Vision Accelerator Design with Intel Movidius VPU to drive
• Overall store performance such as the number of visitors and transactions, point-of-sale data, sales per shopper and the store’s ranking, and can distinguish traffic patterns by weather and time of day
• Traffic and sales analysis for better staff allocation and marketing-event planning
• Store heatmap analysis for more precise merchandise placement and product promotion
Advanced image analysis and computer vision are key components of today’s AI revolution and is becoming critical for a wide range of industry applications, including healthcare, where this technology is being used to detect anomalies and improve patient care. Due to a lack of integrated tools and experience with these cutting-edge technologies, however, deploying complete systems is difficult.
Applications that utilize deep learning approaches often require large amounts of highly parallel compute power, storage, and networking capabilities, along with performance optimizations for faster data analysis. The Intel and QNAP/IEI solution combines all these elements in one complete system for scalable data management for hospitals and clinics of all sizes.
Read more on Intel’s and QNAP/IEI’s real-world use case on macular degeneration analysis through high-performance computing, vision capabilities, storage, and networking in a single solution.
Published By: Lookout
Published Date: Dec 13, 2018
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years.
As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence.
Watch the webinar to learn more about:
What makes up the full spectrum of mobile risks
Lookout's Mobile Risk Matrix covering the key components of risk
How to evolve beyond mobile device management
Published By: Lookout
Published Date: Mar 28, 2018
Mobile devices have rapidly become ground zero for a wide spectrum of risk that includes malicious targeted attacks on devices and network connections, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps.
Read the four mobile security insights CISOs must know to prepare for a strategic conversation with the CEO and board about reducing mobile risks and the business value associated with fast remediation of mobile security incidents.
DevOps allows teams to effectively build, test, release, and respond to your software. But creating an agile, data-driven culture is easier said than done. Developer and devops teams struggle with lack of visibility into application monitoring tools and systems, accelerated time-to-market pressure, and increased complexity throughout the devops lifecycle process. As a Splunk customer, how are you using your machine data platform to adopt DevOps and optimize your application delivery pipeline?
Download your copy of Driving DevOps Success With Data to learn:
How machine data can optimize your application delivery
The four key capabilities DevOps teams must have to optimize speed and customer satisfaction
Sample metrics to measure your DevOps processes against
Published By: Workday
Published Date: Sep 19, 2018
The data deluge problem isn’t just about the amount
of internal, operational data being stored, but also the
level of granularity available. The finance and HR teams
of many institutions still operate on outdated systems
that are only able to store aggregate data with complex
details summarized. While these systems may be
sufficient for the purpose of financial reporting, they’re
unable to keep up with the level of complexity needed
to drive business decisions.
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
Published By: BMC ASEAN
Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps.
The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
Published By: MuleSoft
Published Date: Nov 27, 2018
Traditional insurers are no longer safe with insurtechs challenging incumbents to rethink their business and operating models. This mass disruption creates increased pressure on IT to deliver intrinsic business value, including new services, customer touchpoints, and experiences. Successful insurance transformation requires rethinking the traditional IT operating model to allow IT to focus on creating reusable assets that empower lines of business. Doing so increases IT’s delivery capacity, making businesses more agile.
Read this whitepaper to learn:
An overview of the challenges insurers are facing in the industry.
How a new IT operating model – API-led connectivity – allows IT teams to unlock data from legacy systems and drive reuse across the enterprise.
Strategies for using APIs to create a single view of the customer and build connected customer experiences.
A recent survey of CIOs found that over 75% want to develop an overall information strategy in the next three years, yet over 85% are not close to implementing an enterprise-wide content management strategy. Meanwhile, data runs rampant, slows systems, and impacts performance. Hard-copy documents multiply, become damaged, or simply disappear.
Learn how fileless techniques work and why they present such a complex challenge.
The arms race between cybersecurity vendors and determined adversaries has never been more heated. As soon as a new security tool is released, threat actors strive to develop a way around it. One advanced threat technique that is experiencing success is the use of fileless attacks, where no executable file is written to disk.
The 2017 Verizon Data Breach Investigations Report found that 51 percent of cyberattacks are malware-free, so there’s no indication that these attacks will be subsiding anytime soon. Read this white paper to get the important information you need to successfully defend your company against stealthy fileless attacks.
Download this white paper to learn:
• The detailed anatomy of a fileless intrusion, including the initial compromise, gaining command and control, escalating privileges and establishing persistence
• How fileless attacks exploit trusted systems — the types of processe
For financial business leaders and other c-level executives, moving away from unclear or ambiguous “improvements” to quantifiable measurements is crucial to the overall organization. Hard, meaningful data substantiates the execution of strategic, long-term business decisions. As technology is rapidly changing, executives can be challenged to find the right systems that drive business performance, provide competitive advantages, and increase the bottom line.
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices.
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
Bandwidth. Speed. Throughput. These terms are not interchangeable. They are
interrelated concepts in data networking that help measure capacity, the time
it takes to get from one point to the next and the actual amount of data
you’re receiving, respectively.
When you buy an Internet connection from Spectrum Enterprise, you’re buying
a pipe between your office and the Internet with a set capacity, whether it is
25 Mbps, 10 Gbps, or any increment in between. However, the bandwidth we
provide does not tell the whole story; it is the throughput of the entire system
that matters. Throughput is affected by obstacles, overhead and latency,
meaning the throughput of the system will never equal the bandwidth of your
The good news is that an Internet connection from Spectrum Enterprise is
engineered to ensure you receive the capacity you purchase; we proactively
monitor your bandwidth to ensure problems are dealt with promptly, and
we are your advocates across the Internet w
Published By: Cisco EMEA
Published Date: Nov 13, 2017
The HX Data Platform uses a self-healing architecture that implements data replication for high availability, remediates hardware failures, and alerts your IT administrators so that problems can be resolved quickly and your business can continue to operate. Space-efficient, pointerbased snapshots facilitate backup operations, and native replication supports cross-site protection. Data-at-rest encryption protects data from security risks and threats. Integration with leading enterprise backup systems allows you to extend your preferred data protection tools to your hyperconverged environment.