The Centers for Medicare & Medicaid Services, the nation’s largest payer, has set a clear direction with its publication of targets: By 2018, 50% of fee-for-service payments will be through alternative payment models, such as ACOs and bundled payments, and 90% of FFS payments will be tied to quality or value. And CMS has begun to introduce mandatory bundles. This suggests that all providers will
need to develop population health competencies, including the ability to manage risk for both cost and quality.
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Spending on supplies and pharmaceutical services varies among U.S. hospitals. It is not uncommon for hospitals with similar types of patients, including case mix and severity, to have significant differences in purchasing intensity for certain clinical services. Even small changes in efficiency can make a difference for hospitals and health systems, because supply-chain spending typically accounts for hospitals’ biggest spend after labor costs. Costs totaled about $74 billion in 2012, according to the Healthcare Supply Chain Association.
Medicare spend per beneficiary (MSPB) information is a Centers for Medicare & Medicaid Services metric that reflects the average cost of an episode of care for Medicare patients. This measure is important to consider as part of a hospital’s national balanced scorecard, as it reflects executives’ efforts to transform the healthcare delivery system and manage the full continuum of care, including the prominent shift from inpatient to outpatient utilization.
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.
What do standard best practices for radiology look like? Without them, it is impossible for a hospital to identify the strengths and weaknesses of its current radiology services and strive for improvements.
In late August 2014, the Centers for Medicare and Medicaid Services (CMS) announced plans to reinstate the Recovery Audit program on a limited basis. CMS reports the delay in restarting the Recovery Audit program was to enable the various RAC regions to restructure, allowing time for the appeals to catch up. Soon, however, the hiatus will end and RACs in all regions will resume automated reviews; these will be in addition to select complex reviews based on topics chosen by CMS.
Healthcare billing and claims handling has become increasingly complex. With the transition to Version 5010 of the HIPAA electronic transaction standards, the expansion of billing codes under ICD-10, and the ever-changing requirements of insurance companies and the Centers for Medicare and Medicaid Services (CMS), it can be nearly impossible for providers to keep up.
Published By: Red Hat
Published Date: Sep 09, 2018
As applications and services become more central to business strategy, and as distributed methodologies like agile and DevOps change the way teams operate, it is critical for IT leaders to find a way to integrate their backend systems, legacy systems, and teams in an agile, adaptable way. This e-book details an architecture called agile integration, consisting of three technology pillars—distributed integration, containers, and APIs—to deliver flexibility, scalability, and reusability.
Published By: Red Hat
Published Date: Sep 09, 2018
This assessment shows that enterprises adopt Red Hat Fuse because they believe in a community-based open source approach to integration for modernizing their integration infrastructure that delivers strong ROI. For these organizations, Fuse was part of a larger digital transformation initiative and was also used to modernize integration.
IDC interviewed organizations using Fuse to integrate important business applications across their heterogeneous IT environments. These Red Hat customers reported that Fuse has enabled them to complete substantially more integrations at a higher quality level, thereby supporting their efforts to deliver timely and functional applications and digital services. Efficiencies in application integration with Fuse have generated significant value for study participants, which IDC quantifies at an average value of $75,453 per application integrated per year ($985,600 per organization). They have attained this value by: » Enabling more efficient and effectiv
"In today’s Idea Economy, businesses need to turn ideas into services faster. Every new business and established enterprise is
at risk of missing a
market opportunity and being disrupted by a new idea or business model. It has never been easier, or more cru
cial, to turn ideas into new
products, services, or applications
—and quickly drive them to market. But IT needs an infrastructure that enables them to partner with the
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What is a Data Lake?
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems.
Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
Download to find out more now.
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes.
This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
As easy as it is to get swept up by the hype surrounding big data, it’s just as easy for organizations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt.
However, given big data’s power to transform business, it’s critical that organizations overcome these challenges and realize the value of big data.
Download now to find out more.
IDC’s research has shown the movement of most IT workloads to the cloud in the coming years. Yet, with all the talk about enterprises moving to the cloud, some of them still wonder if such a move is really cost effective and what business benefits may result. While the answers to such questions vary from workload to workload, one area attracting particular attention is that of the data warehouse.
Many enterprises have substantial investments in data warehousing, with an ongoing cost to managing that resource in terms of software licensing, maintenance fees, operational costs, and hardware. Can it make sense to move to a cloud-based alternative? What are the costs and benefits? How soon can such a move pay itself off?
Download now to find out more.
Defining the Data Lake
“Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
Die Recherchen von IDC haben ergeben, dass in den nächsten Jahren die meisten IT-Workloads in die Cloud verschoben werden. Doch neben all den positiven Berichten über Unternehmen, die in die Cloud umziehen, gibt es auch Unternehmen, die sich noch immer fragen, ob ein solcher Wechsel wirklich kosteneffizient ist und welche Vorteile sich aus einem solchen ergeben. Während die Antworten auf solche Fragen von Workload zu Workload variieren, gibt es ein Element, das besondere Aufmerksamkeit auf sich zieht: das Data-Warehouse.
Il est tout aussi facile d'être submergé par l'omniprésent Big Data qu'il l'est pour les organisations d'être découragées par les défis qu'elles rencontrent lorsqu'elles implémentent une initiative en matière de Big Data. Les préoccupations liées aux ensembles de compétences associées au Big Data (et à leur absence), à la sécurité, à l'imprévisibilité des données, aux coûts non viables et à la nécessité d'effectuer une analyse de rentabilité peuvent mettre brutalement fin à une initiative en matière de Big Data.
La plupart des entreprises ont investi considérablement dans le stockage de leurs données, avec un coût de gestion continu en termes de licences logicielles, frais de maintenance, coûts opérationnels et matériel. Est-il plus judicieux d'opter pour une solution cloud ? Quels en sont les coûts et les avantages ? En combien de temps un tel choix est-il rentabilisé?
Découvrez, dans ce document, la synthèse de l’enquête IDC sur le retour d'expérience de 8 entreprises utilisant Amazon Redshift.
With culture impacting your talent, products and services, clients and even revenue, it’s important to measure, review and nurture something that is so critical to your company’s success. Learn the 7 ways to help build a strong company culture now.
IT is in the midst of one of its major transformations. IDC has characterized this paradigm shift as the “third platform,” driven by innovations in cloud, big data, mobility and social technologies. Progressive enterprises are seeking to leverage third-platform technologies to create new business opportunities and competitive differentiation through new products and services, new business models and new ways of engaging customers.
Today’s smart computers can beat board game champions, master video games, and learn to recognize cats. No wonder artificial intelligence has captured the imaginations of business and IT leaders. And indeed, AI is starting to transform processes in established industries, from retail to financial services to manufacturing. Read this guide from Google Cloud and learn how you can unlock the transformational power of information and get useful insights from a vast and complex landscape of data.
"Cloud platforms are rewriting the way that companies work, serving as a vital foundation for digital transformation. Companies should brace for challenges that will need to be met as they transition from in-house systems to hybrid-cloud, multi-cloud, and public-cloud environments. Learn how an open-source strategy and consistent governance will help your company use multi-clouds to compete in the digital world.
Download the Harvard Business Review Analytic Services report and find out more."
Welcome to the very first edition of Modern Monitoring, a collection of articles and insights designed to help IT operations and DevOps professionals deliver more resilient, supportable and high-performance IT services.
It’s perhaps a sign of the times that monitoring as a discipline is receiving much more attention within the biz tech community. And deservedly so. The new distributed application architectures being built, together with the dizzying pace of software delivery, demand new approaches in what’s traditionally been perceived as a “keeping the lights on” IT practice.
Of course, there’s no better way to consider monitoring than to draw parallels with other practices in related fields. It’s why we’ve included a couple of pieces with a distinct aeronautical flavor that discuss importance of instrumentation and contextual awareness.