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.
Creating a successful patient experience strategy is a long-term investment in planning, surveying, training, and technology. Healthcare organizations hope these efforts will pay off at the very least with a growing base of loyal patients, better care quality, and stable reimbursement. And then there are those organizations that are turning patient experience into a movement. What’s their endgame? They intend to build state-of-the-art service-oriented cultures that rival other industries, and they are doing it through data analytics, unique communication programs, radical cultural shifts, and consumer-centric technologies.
A recent Health Leaders survey sheds light on the top 5 workforce initiatives healthcare executives across the country are using for successful quality of care and labor cost improvements. Learn how these leading strategies can help your hospital.
Published By: McKesson
Published Date: May 27, 2015
The shift to value-based care creates a sharp increase in healthcare organizations and networks’ need for data collection, aggregation and analysis. This white paper outlines the challenges involved with performing population-level analyses, developing cost accounting and profitability analyses across care settings, evaluating care episodes and integrating quality data. It explores the limitations of targeted software solutions to provide cross-enterprise insights. Finally, it provides advice for healthcare executives regarding how to approach gathering quality and cost-related data and how to leverage technology and analytical expertise to drive risk-based contract success.
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products.
To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support.
At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
Today, you can improve product quality and gain better control of the entire
manufacturing chain with data virtualization, machine learning, and advanced
data analytics. With all relevant data aggregated, analyzed, and acted on, sensors,
devices, people, and processes become part of a connected Smart Factory
•? Increased uptime, reduced downtime
•? Minimized surplus and defects
•? Better yields
•? Reduced cost due to better quality
•? Fewer deviations and less non-conformance
TIBCO Data Virtualization is a proven approach used by four of the top five integrated energy companies to deliver more analytic data sooner from across upstream and downstream operations. Specific use cases described include: •? Offshore Platform Data Analytics •? Well Maintenance and Repair •? Cross Refinery Web Data Services •? SAP Master Data Quality If you are an energy company facing similar data and analytic challenges, consider TIBCO Data Virtualization.
TIBCO Data Virtualization é uma solução comprovada que é usada por quatro das cinco principais companhias de energia integradas para fornecer mais rapidamente um maior volume de dados analíticos nas operações de exploração e produção. Os casos de uso específicos descritos incluem:
• Análise de dados em plataformas offshore
• Manutenção e reparação de poços
• Serviços de dados web em refinarias
• SAP Master Data Quality
Se uma empresa de energia está enfrentando desafios relacionados com dados e suas análises, deve considerar o TIBCO Data Virtualization.
TIBCO Data Virtualization es una solución probada que es utilizada por cuatro de las cinco principales compañías de energía integradas para obtener más rápidamente una mayor cantidad de datos analíticos las operaciones de exploración y producción. Los casos de uso específicos que se describen incluyen:
• Analítica de Datos de Plataformas Marítimas
• Mantenimiento y Reparación de Pozos
• Servicios de Datos Web en Refinerías
• SAP Master Data Quality
Si una compañía de energía está enfrentando desafíos relacionados con los datos y la analítica similares, debe considerar TIBCO Data Virtualization.
Published By: Genesys
Published Date: Jun 19, 2019
Successfully managing a contact center requires a collaborative, multidisciplinary approach to handle a broad range of operational and tactical tasks. Planning, day-to-day operations and quality management must be seamlessly orchestrated, along with human resources functions like recruitment, learning and development, and employee scheduling.
Read this executive brief to learn how to transition to an AI strategy that can take your team – and business results – to the next level. See how you can:
Create an AI strategy with a single data model that includes routing, interaction analytics, forecasting/scheduling and predictive engagement
Harness the power of your data to align customers with the best resource
Drive employee effectiveness by ensuring you hire the right people and manage their performance to drive their success over the long term
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
The most significant IT transformation of this century is the rapid adoption of cloud-based applications. Most organizations are now dependent on a number of SaaS and IaaS platforms to deliver customer satisfaction and empower employee productivity. IT teams are responsible for delivering a high quality user experience for cloud applications while they struggle to manage a secure environment with advanced persistent threats. The WAN is the fabric to connect and control access between remote users and cloud-based applications. The WAN fabric needs to identify application type, location, apply prioritization and route traffic across the appropriate (multiple) WAN links to deliver on user experience. Different types of users/devices connecting to the cloud (via the Internet) means security policies must be enforced at branch, data center and in the cloud.
Artificial Intelligence (AI) has already begun to improve targeting, segmentation, media buying and planning in the advertising industry. AI algorithms can extract complex patterns from vast numbers of data points, and in so doing, are able to self-correct and learn patterns. The revenue potential that improved personalization, segmentation and targeting that AI provides to marketers is huge.
At HERE Technologies, we are placing AI and machine learning at the center of our products and services. We see the opportunity in automated machine learning to enrich the targeting and effectiveness of mobile advertising campaigns in real time. But the outcome of implementing such technology depends on the quality of data being fed into it from the outset. AI wouldn’t be as helpful if it’s being used alongside questionable location data or audience data.
HERE’s location data provides a strong thread that can be woven throughout every stage of the media buying process, offering more context and
Published By: Cisco EMEA
Published Date: Mar 05, 2018
The competitive advantages and value of BDA are now widely acknowledged and have led to the shifting of focus at many firms from “if and when” to “where and how.” With BDA applications requiring more from IT infrastructures and lines of business demanding higher-quality insights in less time, choosing the right infrastructure platform for Big Data applications represents a core component of maximizing value. This IDC study considered the experiences of firms using Cisco UCS as an infrastructure platform for their BDA applications. The study found that Cisco UCS contributed to the strong value the firms are achieving with their business operations through scalability, performance, time to market, and cost effectiveness. As a result, these firms directly attributed business benefits to the manner in which Cisco UCS is deployed in the infrastructure.
The success of every business is driven by the quality of its connections, whether with clients, employees, investors, suppliers, manufacturers or other key stakeholders. Increasingly, these relationships are measured through data-driven analytics, enhanced through video communication, and empowered through cloud computing and collaboration. As the volume of data grows, so do bandwidth requirements.
The performance of enterprise applications will have a direct impact on business activities and outcomes. The quality of the delivery of applications will depend on how smoothly the underlying data infrastructure operates.
? Optimal application performance and delivery is difficult to achieve in complex environments.
? Many IT infrastructure and operations teams are stretched to the breaking point.
? Predictive analytics and machine learning can be applied to great effect
Published By: HPE Intel
Published Date: Mar 15, 2016
Led by experienced technology consultants, Hewlett Packard Enterprise Storage Transformation Workshop Service provides a highly interactive, meaningful half day-long session with a customer's IT, business, and executive stakeholders. Using a series of high-quality (slide-free) discussion panels, HPE TS Consulting will facilitate an exploration of data management transformation journey to business-aligned visions, aligning your specific situation and HPE’s experiences over evolutionary trends in Data Management, Transformation to All Flash and End to End Data Protection. HPE consultants will also lead discussions on the potential implications that a data management transformation may present to IT, your storage and backup staff, and your business.
The United Nations predicts that by 2050 an additional 2.5 billion people will live in towns and cities, with 90% of this increase happening in Africa and Asia. With congestion already a challenge on many city roads how will we keep our megacities moving and quality of life high for their populations?
As the world’s leading location platform in 2018 (Source: Ovum and Counterpoint Research annual indexes) HERE shares location data, insights, tools and services which keep people and traffic flowing through cities and states around the world. This eBook explains how it can help megacities of today and the future.
Get higher quality, more accurate location data – and a safer, more profitable fleet – by choosing the right location services provider. The true value of a location platform comes from bringing together multiple data sources and presenting them in a meaningful way. Using a platform approach, you can help customers differentiate their service, increase margins and increase safety. So, in this guide, we cover the four key considerations for choosing a mapping and location service platform to ensure a high quality, accurate mapping service for you and your customers.
Download the eBook
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
Siteimprove transforms the way organizations manage and deliver their digital presence. With the Siteimprove Intelligence Platform, you gain complete visibility and deep insights into what matters, empowering you and your team to outperform the status quo with certainty every day.
In this digital age, maintaining high-quality content—all while measuring website success and delivering a superior user experience—can no longer be accomplished manually.
The Siteimprove Intelligence Platform unlocks new insights into your content and analytics data to let you focus your efforts where they belong.
Published By: Delphix
Published Date: May 03, 2016
Looking to streamline processes across development, test, and operations teams with more efficient Test Data Management (TDM)? Don't let antiquated technology and complex processes stand in the way of fast access to high-quality test data.
Next-generation TDM transforms how businesses deploy testing environments and the way teams work within them, providing both greater flexibility and increased efficiency.
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
Complexity, globalization and digitalization are just some of the elements at play in the risk landscape—and data is becoming a core part of understanding and navigating risk.
How do modern finance leaders view, navigate and manage enterprise risk with data? Dun & Bradstreet surveyed global finance leaders across industries and business types. Here are the top trends that emerged from the study:
1. The Enterprise Risk & Strategy Disconnect—Finance leaders are using data and managing risk programs, but over 65% of finance leaders say there’s missing link between risk and strategy.
2. The Risks of the Use and Misuse of Data—Up to 50% of the data used to manage modern risk is disconnected. Only 15% of leaders are confident about the quality of their data.
3. Risky Relationships—Only 20% of finance leaders say the data they use to manage risk is fully integrated and shared.
Download the study to learn how finance leaders are approaching data and enterprise risk management