Published By: MedAssets
Published Date: Nov 05, 2015
The shift to value-based care is one of the most significant financial, cultural and technological challenges ever faced by the U.S. healthcare systemóand it will affect every stakeholder in the system. Healthcare providers can no longer focus solely on process-oriented measures and instead need metrics that gauge progress to deliver high-value care. This healthcare executive report provides three steps hospital executives can take now as they transition from volume to value and break down silos to create the infrastructure, processes and workflows required to succeed.
The Truven Health Analytics 50 Top Cardiovascular Hospitals study identifies hospitals that achieve the best performance on a scorecard of performance measures. This year, based on comparisons between the winners and a peer group of similar high-volume hospitals that were not winners, the study found that if all cardiovascular providers performed at the level of this yearís winners, approximately 9,500 additional patients could survive, more than $1 billion could be saved, and almost 3,000 additional bypass and angioplasty patients could be complication-free. This is based on an analysis of Medicare patients; if the same standards were applied to all inpatients, the impact would be even greater.
The shift from inpatient to outpatient care is increasing as hospitals transition from volume to value. A specific shift is seen in interventional cardiology treatment (cardiac catheterization, intracoronary stents, and percutaneous transluminal coronary angioplasties [PTCA]), which is moving from an inpatient hospital to outpatient hospital setting. Preliminary data show that most interventional cardiology procedures will soon be performed in the hospital outpatient setting. It will be important for hospitals to consider future demand and volume for interventional cardiology services; capacity for an increase in hospital outpatient volume; and staffing and operational implications.
As the healthcare industry shifts focus from volume to value, standardization is needed to accurately benchmark labor resource utilization. This is the premise of a survey conducted by HealthLeaders Media and sponsored by Kronos.
What constitutes direct patient care? Hands-on patient assessment, administering medications, and performing procedures clearly top the list. But can other activities be considered direct care tooóeven those not conducted in a patientís presence?
Download the free report to get statistics and analysis from the survey questions below and much more
- Which of the following actions are considered direct patient care in your organization?
- Which of the following actions are considered indirect patient care in your organization?
- Which of the following actions are considered neither direct nor indirect care but are categorized separately as non-patient care in your organization?
Creating a state-of-the-art clinical documentation improvement (CDI) program isnít just about boosting coding accuracy. Itís 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 illóespecially in outpatient settingsóand 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.
Published By: Zix corp
Published Date: May 11, 2016
Email is the most used communication tool in business and IT security and compliance professionals cannot ignore the sheer volume of unsecured PHI exchanged regularly in email. Read why email security is critical to your organization.
The current is changing. And as healthcare organizations switch from fee-for-service to fee-for-value, leaders will face new challenges. This downloadable presentation provides critical information for leaders managing the volume to value transition.
A decade ago, hospital leaders viewed cost containment as a distant option to that of building topline revenue through increased volumes and rates. But with the road to profitability choked off by a recession, the ACA, and double-digit increases in healthcare inflation, most have been left pursuing a flurry of initiatives to cut operational costs and maintain positive margins.
Todayís leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Todayís digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
Why travel agencies are losing 20% of their profits to unnecessary costs. Travel agents, tour operators and travel
wholesalers are typically spending thousands in unnecessary costs each year. And in a fiercely competitive market operating on
high volumes and low margins, ensuring efficiency with sales and purchasing systems is no easy task.
Traditional backup systems fail to meet the database protection and recovery requirements of modern organizations. These systems require ever-growing backup windows, negatively impact performance in mission-critical production databases, and deliver recovery time objectives (RTO) and recovery point objectives (RPO) measured in hours or even days, failing to meet the requirements of high-volume, high transactional databases -- potentially costing millions in lost productivity and revenue, regulatory penalties, and reputation damage due to an outage or data loss.
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watsonģ technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before.
These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
Many seasoned attorneys will agree that remediating an enormous amount of documentation to ensure regulatory compliance is no easy feat. The volume of repapering necessary for compliance with the new rules governing margin requirements for non-centrally cleared derivatives (UMR) presented new challenges, exposed structural weaknesses, and provided many lessons learned which can be applied to any documentation remediation effort. Many UMR initiatives suffered significant hurdles that contributed to delays and missed deadlines. Common among the various challenges faced were the dearth of talent in the quantities needed, and the limited technology and data management solutions utilized.
Consider the volume of business content that your organization generates or receives every day: applications, forms, reports, office documents, audio, video, and even social media about your company. If it is poorly managed, not digitized, or disconnected from critical business processes, it creates chaos. This chaos impacts your ability to deliver exceptional customer service; it slows down important processes, increases security risk, and negatively impacts revenue. Conversely, controlling content chaos can significantly improve your analytics strategy by gaining insight and business value from dark or unstructured data sources. In this eBook, learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it as you grow.
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
Customer service is at an inflection point, in both the business-to-consumer and business-to-business sectors. Costs continue to skyrocket as the volume of inquiries increases, even as customer service budgets remain flat. Customer expectations seem to increase by the hour. Make a mistake or fail to resolve an issue quickly, and businesses may quickly see a decline in customer satisfaction and revenue. Download this whitepaper to learn more!
Published By: LogMeIn
Published Date: Feb 27, 2018
24/7 Self-Service Support Center: Bold360 aiís 24/7 context driven support center was implemented, allowing users to instantly discover relevant content from the smart knowledge database. Dynamic FAQs displayed trending topics in real-time to speed up customer resolution and discoverability.
Real-Time Customer Analytics highlight unanswered questions, giving Premium Credit instant visibility of missing topics, questions driving ticket volume, and more.
Using your desired number of seats, we have compared Adobe Acrobat Stardard CPL/TLP published pricing to Nuance volume pricing. Download this calculator to see how much you can save with Nuance PDF Converter Enterprise.
As your organization struggles with growing volumes and sources of data, increasingly
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In the digital economy, data is becoming more interconnected every day. The volume of highly-connected data is growing rapidly, while also becoming a highly-valued corporate asset. By exploring relationships among people, processes and things, new business opportunities emerge, helping grow your business's competitive advantage.
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But itís not the amount of data thatís important. Itís what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.