Although quality-reporting programs such as meaningful use provide incentives to help providers implement and use electronic health records (EHRs) to collect and report on clinical data, practices often need help deciding what data to collect, which measures to report on, and how to best use their EHRs to do so. This white paper provides you with the basic information you need to choose appropriate CQMs for your practice, and offers tips on how to use your EHR to store the data in a structured format.
The Custom Research Brief is a concise digital solution that allows for capturing data, customer feedback and sponsor thought leadership.
• Make a statement in the marketplace as a solution provider
• Highlight your customers and their outcomes
• Create one-to-one marketing tools for existing customers and prospects
• Extend the value of your marketing message with an in-depth content-rich reader experience
• Ensure delivery of your message in a way that PR placements can’t guarantee and advertising can’t accommodate
Partner with HealthLeaders Media to gain greater credibility and traction from our targeted data and intelligence solutions.
Download the information sheet now to discover what innovative engagement we offer.
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.
Published By: Corrigo
Published Date: Sep 12, 2019
We’re living in a new era defined by data, analytics, and intelligence. It can sound overwhelming, but once you understand how to make all this information work for you, it becomes really exciting.
The Intelligence Economy has already changed our day-to-day lives, and it’s revolutionizing the world of facilities management. The best FMs don’t just understand this change – they embrace it.
With a better handle on intelligence, you will see immediate results. From warranty enforcement to asset repair vs. replacement decisions, Corrigo’s collective intelligence can improve your bottom line and make you better at your job.
Read on to learn how Corrigo makes the Intelligence Economy work for you.
As an insurer, the challenges you face today are unprecedented. Siloed and heterogeneous existing systems make understanding what’s going on inside and outside your business difficult and costly. Your systems weren’t set up to take advantage of, or even handle, the volume, velocity, and variety of new data streaming in from the internet of things, sensors, wearables, telematics, weather, social media, and more. And they weren’t designed for heavy human interaction. Millennials demand immediate information and services across digital channels. Can your systems keep up?
The days of data being narrowly defined as highly structured information from a few specific sources is long gone. Replacing that notion is the reality of a wide variety of data types coming from multiple sources, internal and external, to an organization. All of it is in service of providing everyone from IT, to line-of-business (LOB) employees, to C-level executives with insights that can have an immediate and transformative impact.
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
Today, despite massive investments in data, IT infrastructure,
and analytics software, the adoption of analytics continues to lag
behind. In fact, according to Gartner, most organizations fail to hit
the 30% mark. That means that more than 70% of people at most
organizations are going without access to the critical information
they need to perform to the best of their abilities.
What’s stopping organizations from breaking through the 30%
barrier and driving the pervasive adoption of intelligence? Simple.
The majority of existing tools only cater to users who are naturally
analytically inclined—the analysts, data scientists, and architects
of the world. The other 70%—the people making the operational
decisions daily within a business—simply lack the time, skill, or
desire to seek out data and intelligence on their own.
HyperIntelligence helps organizations operationalize their
existing investments and arm everyone across the organization
with intelligence. Whether
How we fuel our vehicles, heat our homes, and power our industries is undergoing fundamental change. Well-deployed but inefficient technologies, such as internal combustion engine cars and oil/gas boilers are being replaced with electrified and higher-efficiency alternatives. And renewables such as sunlight, wind, thermal, and others, supported by next generation battery storage, are fueling an evergreater share of energy demand.
Published By: Infosys
Published Date: Sep 05, 2019
In today's hyperconnected and digitized world, cybersecurity has become an important strategic imperative owing to the sophistication of cybercrime. Digital businesses require complex and distributed interactions among people, applications and data - on premise, off-premise, on mobile devices and in the cloud. The result is an increase in the attack surfaces that are hard to protect and defend. As the perimeter continues to diminish, visibility into the environment gets tougher. Operational Technology (OT) and the Internet of Things (IoT) massively expand the scope of security strategy and operations. When a massively distributed fleet of autonomous devices that can make decisions is combined, directly affecting the physical state of people and things, there is a considerable risk to manage. This issue is not limited to the chief information security officer (CISO) but needs the involvement and sponsorship of the leadership and the board.
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.
Published By: Attivio
Published Date: Aug 20, 2010
With the explosion of unstructured content, the data warehouse is under siege. In this paper, Dr. Barry Devlin discusses data and content as two ends of a continuum, and explores the depth of integration required for meaningful business value.
Published By: Attivio
Published Date: Aug 20, 2010
Current methods for accessing complex, distributed information delay decisions and, even worse, provide incomplete insight. This paper details the impact of Unified Information Access (UIA) in improving the agility of information-driven business processes by bridging information silos to unite content and data in one index to power solutions and applications that offer more complete insight.
Improved business productivity often requires more efficient IT and more efficient IT cannot be achieved without a better understanding of the way business services are run and delivered. Configuration Management Databases (CMDBs) have emerged as a central component for Information Technology Infrastructure Library (ITIL) and business service management (BSM).
Published By: ZoomInfo
Published Date: Sep 07, 2010
Find and connect quickly with the right people, prospects, and opportunities to grow your sales pipeline and boost conversion rates. The ZoomInfo™ Database is the only source of business information combining the business web, community contributors, and professionals who post their own profiles-updated 24 hours a day, 7 days a week. Unlock the power of this data with our next-generation prospecting tool, ZoomInfo™ Pro, featuring rich segmentation, export capabilities, and list building. Add custom appends and lists to streamline revenue generation and maximize ROI. Start your free trial today.
Published By: Asure HR
Published Date: Nov 18, 2013
Improper data management of sensitive data such as employee files, time records, and payroll information has the potential to cost corporations and institutions millions each year in auditing expenses, security concerns, tax violations and legal disputes with employees.
This paper discusses how time management software can resolve the problem, and what the next steps to implementing this technology are.
Published By: Zynapse
Published Date: Jun 16, 2010
Data Governance has emerged as the point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ongoing data management process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization
Published By: Zynapse
Published Date: Sep 10, 2010
UNSPSC enables preference item management, better spend analysis, supply standardization and information control.
Whether you are deliberating on the need for a common product and classification standard for your company, or are an advanced UNSPSC adopter, we hope that "Adopting UNSPSC" will answer some of your questions and perhaps help you in some way to improve your purchasing and supply management processes.
Published By: Zynapse
Published Date: Aug 17, 2010
An exclusive success story of a Fortune 200 enterprise.
Learn how the master data management initiative delivered:
. A unified view of the master data across the enterprise
. Accelerated ROI realization from massive ERP investments
. Inventory optimization by duplicate identification
. Improved operational and process efficiencies