All healthcare delivery organizations will need to transform themselves in order to meet the quality, safety and cost challenges confronting healthcare. In this free ebook, Healthcare: a Better Way, you'll discover a strategic framework and a practical roadmap for developing a healthcare analytics approach for sustaining quality improvement. Download to learn more about navigating the challenges confronting healthcare today.
Published By: McKesson
Published Date: Jul 09, 2015
When it comes to making decisions that positively impact care delivery and business outcomes, great leaders will tell you it’s better to rely on data than on myth. Through healthcare analytics, the clinical and financial leadership at Regions Hospital in Saint Paul, Minnesota used data to do just that—and set a strong course for reliable, trusted decision-making that helps address their most pressing issues. Using strong IT systems, accompanied by a cooperative and inquisitive organizational culture that brings together clinical and financial decision makers together to address pressing issues, put Regions on the path to create powerful healthcare analytics that fuel organizational change.
Creating a successful patient experience strategy is a long-term investment in planning, surveying, training, and technology. Healthcare organizations hope these efforts will pay off at the very least with a growing base of loyal patients, better care quality, and stable reimbursement. And then there are those organizations that are turning patient experience into a movement. What’s their endgame? They intend to build state-of-the-art service-oriented cultures that rival other industries, and they are doing it through data analytics, unique communication programs, radical cultural shifts, and consumer-centric technologies.
Healthcare reform regulations, increasing costs, and more competition are driving employers and their health plans to focus more than ever on opportunities to reduce cost trends. For example, the country experienced a 3.0% growth in per capita gross (allowed) medical and pharmacy costs from 2012 to 2013. Truven Health Analytics anticipates those costs in 2014 and 2015 will increase by 4% to 5% or more. By taking a data-driven approach, payers can manage costs and, ultimately, make their benefit programs sustainable in the context of healthcare reform. They can also maximize opportunities to improve population health and productivity and optimize the delivery of care.
In response to concerns raised by healthcare leaders that the absence of adjustment for socioeconomic status (SES) and race characteristics in patient populations impedes the fair comparison of hospitals on risk-standardized 30-day unplanned readmission rates, Truven Health AnalyticsTM evaluated the extent to which risk-adjusted readmission rates for acute myocardial infarction, heart failure, and pneumonia are affected by adjustments for community-level SES factors through its Community Need Index (CNI) and patient race. The study shows there is, indeed, a statistically significant effect. For more, visit truvenhealth.com/wp/readmissionpenalties.
Some factors commonly used to explain poor operating performance do not prevent many hospitals from being highly profitable. For example, Truven Health AnalyticsTM has found that rates of uncompensated care, drug expense, and other factors do not seem to differ between unprofitable and very profitable hospitals. But factors such as Medicaid utilization rates and poor reimbursement rates do appear to impact the least profitable hospitals. One controllable factor that appears to be significant is labor productivity, with the most profitable hospitals posting the lowest labor expense per patient.
Healthcare organizations with strong bond ratings are regarded favorably from a financial perspective, of course. In addition, research by the Truven Health AnalyticsTM ActionOI® program shows that such organizations tend to excel in other categories, such as average length of stay and results of Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) surveys.
The Truven Health 15 Top Health Systems study annually identifies those health system leadership teams that have most effectively aligned outstanding performance across their organizations, and achieved more reliable outcomes in every member hospital. Truven Health Analytics measures U.S. health systems based on a balanced scorecard across a range of performance factors: care quality, patient safety, use of evidence-based medicine, operational efficiency, and customer perception of care.
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.
The Scandinavian commercial vehicle manufacturer wanted better uptime and reduction of vehicle on road (VOR), and also provide real-time feedback and visibility to their customers. LTI helped streamline analytics to detect exceptions and create actionable and achievable high scalability with microservices and serverless architecture. Download full case study
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
HfS published the Top 10 Cognitive Assistant Service Provider report that explores the emerging conversational service provider ecosystem across key areas including execution ability, innovation capability, and the voice of the customer. The conversational services called as Cognitive Assistants, go beyond the traditional chatbots and augment human-customer interaction across both front- and back-office business operations. IBM was recognized for its market leadership in Cognitive Assistant that harness the power of IBM Watson capabilities – including NLP, conversation and analytics. HfS also merits IBM for demonstrating the greatest volume and depth of cognitive assistant use cases across industry verticals and enterprise processes.
Organizations continue to rush down the digital transformation path. Whether by modernizing their IT infrastructures, leveraging the cloud, or becoming data-centric and data-driven, organizations must become more agile in their business practices and within their IT infrastructure stack to effectively compete in today’s dynamic business environment. Between the speed and distributed nature of modern businesses, as well as the expectation of instantaneous access to data from everyday users, it’s not surprising that nearly one in three organizations are looking into ways to improve data analytics for real-time business intelligence and customer insight.
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already under pressure, Big Data footprints are getting larger and posing a huge storage challenge. This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
Digital disruption, economic instability, political upheavals and skills shortages have all at some point in the past 24 months been blamed for business failure, or at the very least, lost profitability and earnings.
It’s perhaps not a huge surprise that a Gartner CEO survey on business priorities revealed that digital business is a top priority for next year. Survey respondents were asked whether they have a management initiative or transformation program to make their business more digital. The majority (62 percent) said they did. Of those organisations, 54 percent said that their digital business objective is transformational while 46 percent said the objective of the initiative is optimisation.*
So, for businesses it’s a case of learning to evolve and be agile, to use technology to help compete more efficiently and not fall victim to inertia. As businesses become increasingly dependent on the insights from data analytics and face-up to competition fuelled by the 24/7 society of in
Published By: HP Inc.
Published Date: Jun 20, 2019
Four billion people now generate four quintillion bytes of data every day - and with the number of IoT devices set to increase to three times the global population by 2022 - volumes will only continue to rise. The challenge is processing the data. This is why machine learning, deep learning and all the other developing forms of AI must deliver the analytics toolset businesses need to compete.
Whether informing talent strategy or building more effective teams, data-driven insights about your workforce can set you up for success. This eBook from Human Capital Institute explores how people analytics can empower your entire organisation.
Put your data in the hands of those who need it most, so they can act quickly to deliver great customer experiences. And a better bottom line.
Data is no longer the domain of a few. Everyone in your organization should be thinking about it. And more importantly, acting upon it. This means taking data insights out of the realm of data scientists and making them a natural part of everyone’s workflow — from the marketing department to the executive team.
To seize and capitalize on the data you already have, it’s important for analysts and marketers to rethink data—shifting from a reporting mindset to an action mindset.
74% of organizations want to be data driven, yet only 29% say they’re good at connecting analytics to action.
From child welfare and public health to combating prescription abuse and improving education, analytics is improving government programs around the world.
The articles in this e-book touch on several areas where analytics is making, or could make, a significant impact in the way governments operate. We’ve pulled together some of our favorite best practices that showcase the role analytics plays in better decision making.
To support open government initiatives and uphold the values of transparency, participation and collaboration in the US, federal agencies today make their data open, or publicly accessible. Citizens can use this open data to assess college affordability, the economy, educational issues, environmental damage, health care, taxes, agriculture, the climate and more. Governments can use APIs to pull this open data into SAS Visual Analytics as a way to identify trends and patterns and obtain all sorts of new insights. With public health surveillance, for example, governments can monitor and evaluate indicators that point to high-risk areas so they’ll know where and how to focus efforts. Such public health surveillance can serve as an early warning system for impending emergencies, document the impact of an intervention, track progress toward public health goals, and clarify health problems to inform public health policies and strategies.
Today’s C-level executives expect data and analytics to provide them with speed and agility to deliver competitive advantage and to disrupt new markets. But, in today’s complex data environment exists a near paradox between these expectations, that companies will be able to rapidly deliver value using data and analytics--and the complexities of the data landscape, making it more difficult to find, govern, connect to and access the data needed to deliver that value.
Once thing is clear: if management expectation is to be met, simplifying connectivity is a must.In this white paper, veteran analyst Mike Ferguson, Managing Director of Intelligent Business Strategies explores how simplifying data access –connectivity –aligns expectations with data realities thus decreasing time to value.
Published By: Sitecore
Published Date: Nov 04, 2009
This report highlights the strategic value of a next generation web content management system integrated with lead scoring, email marketing, customer relationship management, and web analytics. The report links the technology and practices of Best-in-Class organizations to engage customers, provide personalized experiences and manage the lead lifecycle.
Published By: Sitecore
Published Date: Jan 06, 2009
This guide offers insight into the WCM technology choices available today, discusses some of the requirements both IT and business users should consider when selecting a WCM solution, and includes advice for ensuring a successful evaluation process.