Creating a state-of-the-art clinical documentation improvement (CDI) program isn’t just about boosting coding accuracy. It’s a key strategy in managing the transition from volume-based to value-based care, say healthcare leaders. That transition is a risky endeavor that is putting hospital and physician financial performance to the test. As hospitals participate in new care and business models aimed at improving value, leaders must ensure that their organizations are able to maintain reimbursement levels, effectively treat the chronically ill—especially in outpatient settings—and gather accurate data that will allow them to assess performance and segment their varying populations. While some organizations often believe they are leaving revenue on the table because of documentation and coding issues, CDI offers numerous opportunities for improving financial performance, finds a recent HealthLeaders Media survey of 149 healthcare executives at provider organizations.
"Extracting value from data is central to the digital
transformation required for businesses to succeed
in the decades to come. Buried in data are insights
that reveals what your customers need and how
they want to receive it, how sales, manufacturing,
distribution, and other aspects of business operations
are functioning, what risks are arising to threaten
the business, and more. That insight empowers your
businesses to reach new customers, develop and
deliver new products, to operate more efficiently
and more effectively, and even to develop new
business models. "
MANUFACTURING: AN INDUSTRY DRIVEN BY DISRUPTION
A leading manufacturer today can be an also-ran next year. Disruption is the new
normal. Maintain the status quo at your peril because no manufacturer is safe from:
•? Innovative new products that can radically shift demand
•? Falling prices that relentlessly pressure costs
•? Dynamic business models where yesterday’s partner can become
Turning disruption into your advantage requires continuous innovation and
optimization, driven by data.
All native and ‘transitioning’ media companies are focusing heavily on content to save existing businesses, or building new business models, or both. Television broadcasters, wary of the growing cord-cutting, are spending large sums on premium content. In 2017, the top four media companies spent more than USD 34 billion on original and acquired non-sports programming. Pure-play OTT providers have, on the other hand, bet big on content to shore up on subscribers. Netflix alone spent more than USD 6 billion on content last year, while spend was USD 7 billion for Amazon and Hulu combined. Transitioning media companies, such as telecom and technology companies that are moving towards being a media company, are also allocating sizable funds for content in their quest to explore supplementary businesses, by boosting customer engagement on their platforms. Apple and Facebook have started creating their own original content, and spend is only going to expand further.
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them.
Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include:
Why data science should not be treated like engineering.
How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle.
Why agility and special hardware to support burst computing are so important to data science break
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform.
This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
Small and midsize retailers around the world are seeing their businesses transform in a variety of ways. These firms, typically with fewer than 1,000 employees, have been transforming themselves as customers seek new types of engagement and as suppliers expect higher levels of efficiency and effectiveness. New business models and new competitors are changing the way retailers do business. Rather than simply react to new threats, successful retailers are leveraging technology in new ways to sharpen business practices, improve agility, and better serve customers while strengthening the role of retailers in the supply chain.
Through digital transformation including the effective engagement of the internet of things (IoT) to track inventory, the opportunity to maintain and gain competitive advantage can be significant.
Every enterprise is aware of the need for digital transformation. A 2015 study conducted by KPMG found that their top four concerns moving forward were: (1) new entrants disrupting existing business models; (2) the ability to keep current with technology; (3) competitors leveraging digital business models to take share; and (4) products and services remaining relevant as the digital future unfolds.
WAN edge infrastructure is changing rapidly as I&O leaders responsible for networking face dynamic business requirements, including new application architectures and on-premises and cloud-based deployment models. I&O leaders can use this research to identify vendors that best fit their requirements. By year-end 2023, more than 90% of WAN edge infrastructure refresh initiatives will be based on virtualized customer premises equipment (vCPE) platforms or software-defined WAN (SD-WAN) software/appliances versus traditional routers (up from less than 40% today).
You need to be ready to host any application anywhere. Our solution adapts to support all of your applications with the simplicity of hyperconvergence. If your IT organization is like most, you are stretched thin to support your developers as they create multicloud-native applications that they deploy across public and private clouds. And you still need to support line-of-business managers with traditional applications as they use both monolithic and cloud deployment models.
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In Forrester’s 40-criteria evaluation of subscription billing platform solutions, we identified the eight most significant vendors in the category — Apttus, Aria Systems, Digital River,
goTransverse, Recurly, SAP hybris, Vindicia, and Zuora — and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help eBusiness professionals select the right partner as they seek to develop and support alternative business models for both existing and new
products and services.
Most IT professionals today recognize that enterprise IT will be hybrid in the future. To provide the optimal foundation for each workload being deployed, the hybrid IT environment will include cloud-based infrastructures—from multiple providers—co-existing alongside infrastructure within the enterprise data center or a hosted environment.
But not all hyperconverged solutions yield the same results. The right hyperconverged infrastructure can meet your IT needs both today and well into the future. In this paper, we will talk about where your data center needs to be in the next five years to meet changing business demands, and how the roles of IT professionals will evolve. We will also review “hyperconvergence” models, and how they can best meet your IT needs both today and in the future, as well as the benefits you can expect along the way. Finally, we discuss what to look for in the right hyperconverged provider, who will position your IT department for success.
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem.
Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
Published By: Dell EMC
Published Date: Sep 12, 2016
The importance of IT has never been greater. Companies are transforming their business models with digital technologies, leveraging emerging mobile and social platforms, and increasingly operating online. And all of these developments are powered by IT innovation.
This part of the CVD describes design considerations to implement a successful BYOD solution and different deployment models to address diverse business cases. Other parts of the CVD provide more details on how to implement unique use cases.
Shifting from a software defined networking model is the first component of a hybrid WAN. See how a hybrid WAN is ideally suited for mobility and cloud models in the whitepaper from ZK Research.
Read this design guide for detailed insights into how an Intelligent WAN can improve the way your branch network operates, from headquarters to your most remote location.
Disruptors now harness the power of digital to create new sources of
value that reduce costs, improve the customer experience, and scale
their offerings. Digital disruptors also enjoy a decided innovation
advantage over established companies: they are better able to
identify new opportunities, and move faster to take advantage of
In this intensely competitive environment, startups and agile firms are overturning incumbents with digital business models, products, and services.
Traditional business models are getting shattered by subscriptions. No one can doubt the new services economy is flourishing. The cloud, mobile, digital, connected devices, globalization - all these things have had a hand in reshaping business and powering new business models. Companies today are wrapping service-based business models and while this shift adds new complexities for finance and has major revenue recognition implications, it also gives finance leaders huge opportunities to become bigger value creators for their business and make a stronger impact on enterprise-wide strategies - not financials.
More than ever, businesses are considering a cloud solution for their enterprise resource planning (ERP) deployment over an on-premises system. Cloud technology appeals to these companies because updates and fixes occur automatically with little or no effort from internal IT staff, and because cloud-based solutions provide access to real-time data from anywhere. Employees want tools that make it easier for them to complete everyday tasks and make informed decisions that help the business grow.
Aberdeen’s research report, “Top Performers Know It’s Time to Migrate to Cloud ERP: Here’s Why and How,” uncovers the reasons successful companies are choosing cloud over on-premises ERP models. Download this SmartBite for a quick look at the report’s highlights.
The shift to digital business continues to gain momentum with no signs easing anytime soon. Smart organizations realize this and are accelerating investments in projects that put digital technologies at the center of their business models. The new requirements of digital transformation are forcing a major change in how companies evaluate and deploy Business Process Management (BPM) platforms and services. In “The Forrester Wave™: BPM Platforms For Digital Business, Q4 2015” report, the research organization used a 31 criteria evaluation process identifying the 12 most significant software providers in the category.
Download this Forrester Wave report and gain insight regarding how well each vendor fulfills the criteria and where they stand in relation to each other to help enterprise architecture (EA) professionals select the right partner to manage their business’ critical content.
Competing in telecommunications markets is becoming extremely complicated. Responding to disruptive change from many directions, telecom companies are experimenting with new business models and offering new types of services. With this comes the potential to draw new waves of regulatory oversight, further complicating the picture.
Agencies have long provided telecommunications companies with scalability for collections in a high-growth industry. Today, with markets and business models changing, your collections agencies have a growing impact — for good or ill — on your success.
A related recent development in the data center is converged infrastructure (CI). Instead of the traditional silo deployment approach to storage, compute, and network resources, all infrastructure elements are delivered and managed in a single environment, providing virtualized access to business services in an efficient manner. This is particularly suitable for cloud-based delivery models. However, since CI achieves lower costs through optimization of data center resources, it can be effective for all IT organizations, regardless of the way in which the services are managed or presented.