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 system—and 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 year’s 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 too—even those not conducted in a patient’s 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 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.
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.
When it comes to effectively and efficiently protecting growing volumes of data, midsized organizations face unique
challenges. That is because they live in a world of constraints that are both operational and budgetary in nature. Cloud
disaster recovery offers new options for these organizations—they can optimize their data protection economics by
integrating on-premises protection solutions with cloud-based backup and recovery methods. Dell EMC’s cloud-ready
solutions, particularly its Integrated Data Protection Appliances with native cloud extension capabilities, along with its Data
Protection Software working in conjunction with its Data Domain backup storage appliances, provide cloud disaster
recovery with flexible features. These solutions enhance operational efficiency and provide midsized organizations with
clear economic and operational benefits.
Car data consumption is critically important to auto manufacturers. As more vehicles are produced with built-in infotainment systems, the cost of supplying them with live information and real-time updates via a data connection grows ever greater.
Auto manufacturers need to be able to enhance the driving experience with smart traffic, navigation, and entertainment services, while reducing costs and data volumes.
HERE is the world’s leading provider of traffic data to the automotive industry. This eBook shows how HERE optimizes traffic solutions and it outlines how data use modelling, standardization, and good data management can help reduce usage.
Why Cisco Umbrella is the simplest decision you can make to improve your company’s security.
You have to make some serious security decisions when you’re an IT leader. That’s because both the volume and sophistication of attacks are intensifying relentlessly — and it’s clear that conventional defenses alone are no longer adequate. More efective blocking of attackers is particularly important because under-the-radar attacks are wreaking havoc on enterprises that rely on antivirus products, frewalls, and sandboxing alone.
A mere 30 minutes from now, any business can be more secure than it was before. That’s the simple reality of DNS-layer security.
Published By: Datastax
Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data.
Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
Hobson & Company (H&C), a leading research firm focused on total cost of ownership (TCO) and return on investment (ROI) studies, conducted independent research and found that a proven Apple device management solution delivers a quick and compelling ROI to both large and small enterprises.
• Simplifying IT management
o 90% reduction in time spent managing apps
o 80% reduction in time spent provisioning
• Improving end-user experience
o 60% reduction in end-user productivity loss
o 15% reduction in volume of help desk tickets
• Mitigating risk
o 90% reduction in time spent creating inventory reports
o 65% reduction in time spent managing policy and setting changes
It isn’t always easy to keep pace with today’s high volume of data, especially when it’s coming at you from a diverse number of sources. Tracking these analytics can place a strain on IT, who must provide the requested information to C-suite and analysts. Unless this process can happen quickly, the insights grow stale.
Download your complimentary ebook now to see how Matillion ETL for Amazon Redshift makes it easy for technical and business users alike to participate and own the entire data and analysis process.
With Matillion ETL for Amazon Redshift, everyone from CTOs to marketing analysts can generate valuable business intelligence by automating data and analytics orchestrations.
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.
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy.
Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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.
For the typical enterprise, the volume of data that needs to be managed and protected is growing at roughly 40% per year. Add to that the performance requirements of new applications and the demands for instant response time, always-on availability, and anytime-anywhere access. With such demands, data center managers face storage challenges that cannot be addressed using traditional, spinning-disk technology.
Pour une entreprise type, le volume de données devant être gérées et protégées augmente d'environ 40 % par an. Ajoutez à cela les exigences de performances des nouvelles applications, de temps de réponse instantanés, de disponibilité continue et d'accès en tout lieu et en tout temps. Avec de telles exigences, les responsables des datacenters sont confrontés à des défis de stockage qui ne peuvent pas être relevés à l'aide de technologies de disques rotatifs traditionnelles.
In einem typischen Unternehmen steigt das Datenvolumen, das verwaltet und geschützt werden muss, um ca. 40 % pro Jahr. Dazu kommen die Performanceanforderungen neuer Anwendungen und der Wunsch nach kurzen Antwortzeiten, ständiger Verfügbarkeit und Zugri zu jeder Zeit und an jedem Ort. Diese Speicheranforderungen lassen sich nicht mit herkömmlicher Technik mit rotierenden Festplatten bewältigen.
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 it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
Modern storage arrays can’t compete on price without a range of data reduction
technologies that help reduce the overall total cost of ownership of external
storage. Unfortunately, there is no one single data reduction technology that fits
all data types and we see savings being made with both data deduplication and
compression, depending on the workload. Typically, OLTP-type data (databases)
work well with compression and can achieve between 2:1 and 3:1 reduction,
depending on the data itself. Deduplication works well with large volumes of
repeated data like virtual machines or virtual desktops, where many instances or
images are based off a similar “gold” master.