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.
The changing healthcare environment has put pressure on healthcare organizations to deliver top-quality care while keeping costs under control. Superior operational and financial performance can be measured by high margins and low costs. But there are significant operational indicators that differ between high- and low-performing hospitals, depending on whether performance is defined by expense or by margin. Often, hospitals with the lowest costs are considered the most successful. But low-cost hospitals do not necessarily behave the same way as hospitals with healthy margins. Low-cost hospitals can include both efficient hospitals and hospitals that are in dire financial circumstances that have forced them to even eliminate expenses necessary for their long-term fiscal health.
U.S. healthcare providers are venturing into the treacherous waters of value-based care, and many are starting their voyages in leaky boats, according to a recent survey of industry executives conducted by HealthLeaders Media and sponsored by RelayHealth.
HealthLeaders' survey on workforce management queried leaders from a cross-section of U.S. healthcare organizations, including hospitals, health systems, physician organizations, and long-term care/skilled nursing facilities. The 150 respondents represent executives across all disciplines — administration, clinical, operations, finance, marketing, and information. In the next three to five years, hospitals, health systems, and other patient service providers expect to augment their time-and-attendance and payroll systems with integrated applications that enable more sophisticated data crunching around labor analytics, acuity management, and staffing assignments. The goal? To convert the workforce from overhead to asset — a flexible, agile asset that will help organizations succeed in an increasingly demanding regulatory and competitive environment.
As chief transformation officer at MemorialCare Health System in Los Angeles and Orange counties, CA, it’s Helen Macfie’s job to rethink the future of healthcare delivery. Lately, she’s been thinking a lot about healthcare reform and care redesign as the six-hospital integrated delivery system, with more than 200 care sites, focuses on growth across the Southern California region.
Published By: McKesson
Published Date: Aug 04, 2014
Data is one of your enterprise's most valuable assets and the key to accelerating growth and improvement. Yet most organizations keep data in silos, stunting its value. Are you giving it the enterprise-level attention it needs?
Published By: McKesson
Published Date: Apr 30, 2015
Building a data-driven organization takes more than technology. And, healthcare leaders can all agree that issues facing today’s industry are daunting; determining how to react in a way that matches your organization’s strengths and vulnerabilities may be even more challenging. With the right resources in place, you can take pragmatic steps to reduce data silos and deliver efficient, coordinated care across all your settings.
There is a growing need for granular de-identified health information, but many organizations are unsure of where to begin. This Privacy Analytics white paper is designed to guide you through the process of risk-based de-identification.
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out:
Top 5 causes of downtime and poor performance across the infrastructure stack
How machine learning and predictive analytics can prevent issues
Steps you can take to boost performance and availability"
Companies are pursuing digital transformation. The goal is to improve customer value, operate with greater efficiency and agility, and increase innovation. But as companies leverage new workflows, security has not kept pace, and cyber criminals are becoming more sophisticated. This white paper describes a security paradigm for today’s hostile environment: zero trust.
Published By: Aberdeen
Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
How Lowe’s, a Fortune 50 retailer, transformed into a omnichannel commercial success with digital performance management. In this case study, learn how Lowe’s transformed into a performance culture and delivered:
Over USD$1 billion in eCommerce sales driven with growth in traffic and conversion
Slashed average page load speed by half
Correlated site performance with sales impact using predictive analytics
Established data-driven decision making for increased customer focus and revenue
Je besser die Daten, desto besser die Künstliche Intelligenz
Sie möchten Ihre Kunden und deren Verhalten besser verstehen? Ihnen eine maßgeschneiderte Customer Experience bieten? Oder neue Geschäftsfelder identifizieren? Es ist vielleicht nicht immer offensichtlich: Aber die Grundlage jeder gut funktionierenden KI sind Daten.
In unserem Leitfaden zeigen wir Ihnen in sechs Schritten, wie Sie Ihre Daten auf innovative Weise organisieren. So schaffen Sie eine optimale Grundlage, um künftig das Beste aus künstlicher Intelligenz, Cognitive Computing und maschinellem Lernen herausholen zu können.
Since it first started providing air passenger services in 2000, JetBlue has been
innovating. It was the first airline to embrace dot.com transactions and electronic
ticketing, and continues to churn out industry-leading inventions as described
here. When business needs changed in 2014, JetBlue embarked on very robust
digital transformation based on TIBCO integration and analytics technology—and
the company was recognized with the first-ever TIBCO Trailblazer Impact award
for the incredible effect this project was having on its strategic differentiation. In
this case study, Director of Shared Development Services Andi Azzolina describes
the objectives, initiatives, capabilities, and achievements making up JetBlue’s
journey towards becoming the most caring travel provider in the world.
Technology is in a constant state of evolution, and the world of automation is no exception. In this eBook, we’ll consider how you can stay ahead of the competition—because in the application economy, it’s vital to ensure the tools your organization uses are capable of positioning you at the forefront of industry—not just today, but tomorrow as well.
We are heading toward a scenario where workload automation tools are capable of thinking for themselves and making decisions based on policy; this is what we at CA Technologies are calling intelligent automation. At the same time, however, more and more challenges are being presented as the increasingly fragmented places our workloads run begin to impact our analytics, reporting and processes. The task is to navigate these hurdles while at the same time allowing our enterprises to harness the power of new technology.
As organisations increasingly leverage data, sophisticated analytics, robotics and AI in their operations, we ask who should be responsible for trusted analytics and what good governance looks like.
Read this report to discover:
• the four key anchors underpinning trust in analytics – and how to measure them
• new risks emerging as the use of machine learning and AI increases
• how to build governance of AI into core business processes
• eight areas of essential controls for trusted data and analytics.
Published By: Datastax
Published Date: Aug 15, 2018
Built on a production-certified version of Apache Spark™ and with integrated search and graph capabilities, DSE Analytics provides highly available, production-ready analytics that enables enterprises to securely build instantly responsive, contextual, always-on applications and generate ad-hoc reports. Read this white paper to learn about the specific features and capabilities of DSE Analytics, and why DSE Analytics is designed for the Right-Now Enterprise.
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly
every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile,
social business, cloud, and big data analytics as the pillars. In this new environment, business leaders
are facing the challenge of lifting their organization to new levels of competitive capability, that of
digital transformation — leveraging digital technologies together with organizational, operational, and
business model innovation to develop new growth strategies. One such challenge is helping the
business efficiently reap value from big data and avoid being taken out by a competitor or disruptor
that figures out new opportunities from big data analytics before the business does.
From an IT perspective, there is a fairly straightforward sequence of applications that businesses can
adopt over time that will help put direction into this journey. IDC outlines this sequence to e
Data is the lifeblood of business. And in the era of digital business,
the organizations that utilize data most effectively are also the most
successful. Whether structured, unstructured or semi-structured,
rapidly increasing data quantities must be brought into organizations,
stored and put to work to enable business strategies. Data integration
tools play a critical role in extracting data from a variety of sources and
making it available for enterprise applications, business intelligence
(BI), machine learning (ML) and other purposes. Many organization
seek to enhance the value of data for line-of-business managers by
enabling self-service access. This is increasingly important as large
volumes of unstructured data from Internet-of-Things (IOT) devices
are presenting organizations with opportunities for game-changing
insights from big data analytics. A new survey of 369 IT professionals,
from managers to directors and VPs of IT, by BizTechInsights on
behalf of IBM reveals the challe
IBM Planning Analytics Local is the on-premises version of the planning solution built on the powerful, in-memory OLAP engine of IBM TM1. It automates your planning, budgeting and forecasting, and helps you link operational tactics with financial plans.
Watch this on-demand webinar to learn about the latest innovations in IBM Planning Analytics Local, including:
Workspace: The interactive interface that enables you to quickly drill through to supporting detail to understand the underlying assumptions in your plans. It lets you create custom dashboards and colorful, compelling visualizations with ease.
IBM Planning Analytics for Microsoft Excel: The next-generation Microsoft Excel add-in that lets you retain Excel functionality and formatting when moving data between IBM TM1 and Excel.
Hierarchies: The new capability that enables you to model and drill into attributes as if they were a dimension -- without having to create a new dimension or add elements (members) to the hierarchy, for unprecedented insight into your IBM TM1 data.
IBM Planning Analytics, powered by IBM TM1, is the fast, flexible, planning solution that helps you align financial plans with corporate objectives linked to operational tactics and market events. In this quick, 10- minute guided demo, you’ll get hands-on experience with IBM Planning Analytics by building a revenue plan.
You’ll play the role of a financial planner and learn how to:
• Create a revenue plan in IBM Planning Analytics Workspace
• Adjust the plan by increasing sales by 20% through an online channel
• Review the impact of your changes on net profit