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.
With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains:
What data virtualization is and its benefits
When and when not to use data virtualization
How to deploy data virtualization to benefit your business
How to unlock the value of your SAP data
Are you considering data virtualization for your organization today? In this paper you will learn 10 core truths about data virtualization and gain essential knowledge for overcoming analytic data bottlenecks and driving better outcomes.
Over the past decade, businesses have made tremendous investments in information
capture, storage, and analysis. But having a wealth of data isn’t the same as having
valuable information. TIBCO®
Data Virtualization products and services provide a way
to turn your data stores into valuable information that improves decision-making and
propels experimentation and innovation. This paper explains:
•?What data virtualization is and its benefits
•?When and when not to use data virtualization
•?How to deploy data virtualization to benefit your business
Enterprises use data virtualization software such as TIBCO® Data Virtualization to reduce data bottlenecks so more insights can be delivered for better business outcomes. For developers, data virtualization allows applications to access and use data without needing to know its technical details, such as how it is formatted or where it is physically located. For developers, data virtualization helps rapidly create reusable data services that access and transform data and deliver data analytics with even heavylifting reads completed quickly, securely, and with high performance. These data services can then be coalesced into a common data layer that can support a wide range of analytic and applications use cases. Data engineers and analytics development teams are big data virtualization users, with Gartner predicting over 50% of these teams adopting the technology by 202
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.
The term outsourcing can have a negative connotation,
conjuring images of layoffs and relocating jobs to third parties
in remote locations. However, outsourcing can take many
forms, and finance and accounting outsourcing (FAO) does
not always mean the displacing of the finance back office.
Specifically, FAO leverages digital technology to complement
and support the back office, streamlining processes while
providing enhanced transaction processing, reporting and
analytics capabilities. It also allows key resources to focus on
strategy, analysis and decision-making.
In this case study, large health systems implement IBM Watson Health to surface improvement opportunities. Using this tool, they were able to cut costs, reduce patients’ length of stay, acquire actionable data, address number of readmissions and improve management of COPD and sepsis.
Australian businesses have long been recognised as leaders in the adoption of cloud services and the migration of core infrastructure to cloud platforms.
Yet as ambitious ‘cloud-first’ programs are executed, performance and complexity issues have led many organisations to embrace the middle ground – a hybrid IT solution combining public cloud and on-premises infrastructure.
Fast-growing hyperconverged infrastructure (HCI) platforms are increasingly being recognised as an ideal enabler for this strategy, with a software-based design that combines robust computing infrastructure with a high degree of centralisation, integration, flexibility, and analytics-based monitoring and manageability.
Read how companies such as Beam Suntory have redefined enterprise architecture and learn more about the way an integrated hyperconverged infrastructure can help you build the right infrastructure for the future.
Asian ICT infrastructure investment is exploding as businesses review and modernise their data-centre architectures to keep up with the service demands of a growing and increasingly sophisticated population.
Demand for cloud services, particularly to support big-data analytics initiatives, is driving this trend. Frost & Sullivan, for example, believes the Asia-Pacific cloud computing market will grow at 28.4 percent annually through 2022. Despite this growth, many businesses are also rapidly realising that public cloud is not the best solution for every need as theydo not always offer the same level of visibility, performance, and control as on-premises infrastructure.This reality is pushing many companies towards the middle ground of hybrid IT, in which applications and infrastructure are distributed across public cloud and self-managed data centre infrastructure. Read about Medical company Mutoh and how it took advantage of the latest technology.
Though technology disruption in the media and entertainment industry have caused a strong shift towards digital businesses, linear TV broadcasting still holds a majority revenue share for broadcasters and that is not going to change anytime soon. Broadcasters can in fact leverage some of these disruptive technology advancements to know more about their ecosystem, especially their consumers, and leverage those deeper insights to deliver more value to their consumers and advertisers.
Realizing the potential risks and opportunities, media companies are making heavy investments towards enabling higher value for TV consumers and advertisers in an attempt to sustain, at minimum, their traditional TV broadcasting business. The first of the top three investments made by the media firms should be on data and analytics to understand more about TV consumers’ content preferences and viewing patterns.
The finance team’s data analytics skills put CFOs in the driving
seat of digital change. Read the Economist Intelligence Unit report now to learn:
• How finance helps other business units meet their digital ambitions
• Why finance needs to make data visible across the business
• Why it’s important to develop metrics for digital success
After talking to 27 leading CFOs, the Economist Intelligence Unit finds that the finance team’s data analytics skills put the CFO in the driving seat of digital change.
The result is that the CFO has a new responsibility to:
• Help other business units meet their digital ambitions
• Make relevant data visible across the business
• Develop goals and metrics for digital success
Watch the webinar