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.
The need for analytic tools to make sense of disparate data sources will certainly be expanding in the upcoming years. This report highlights what analytical data healthcare leaders are currently focusing on, as well as the challenges they expect to face when using analytics to support their organizations in the future.
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.
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.
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.
Published By: Workday
Published Date: Aug 07, 2018
Meet the complex needs of your healthcare organization with a single cloud-based
system that combines analytics, planning, finance, and HR for more comprehensive supply chain
management. Read the datasheet to learn how you can: Reduce supply chain costs while improving
inventory control, gain deep insight into the cost, quantity, and utilization of your supplies, and identify
purchasing trends and standardize opportunities.
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time.
AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance.
In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences.
Join this webinar to learn:
How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development.
How AWS supports BI solutions f
Chilmark Research, a global research and advisory firm, recently released a report rating vendors and solutions in the healthcare analytics industry. IBM Watson Health, a leader in healthcare analytics, has put together this infographic comparing how its solutions stack up against some of the closest competitors in the industry in areas such as population discovery and definition, predictive analytics, cost and utilization, and claims data contribution.
In a panel discussion at the 12th annual SAS Health Analytics
Executive Forum in May 2015, leaders from Dignity Health,
Horizon Blue Cross Blue Shield of New Jersey, Janssen
Pharmaceuticals and SAS shared what they have done to prove
the value of analytics to their business leaders – and what has
worked for them as they developed an analytic culture in their
organizations and put analytic insights to work.
This paper is divided into two parts. The first part provides some background and a comparison of the types of episode analytics. Part two explores the real-world experiences of payers and providers in using episode analytics for payment bundling and other purposes.
Finally, we offer some recommendations on how to use episode analytics to reduce variations and manage contracts that involve financial risk.
Fueled by new technologies, expanding regulations and greater patient expectations, there’s a clinical content gold rush in the healthcare market. Sources and types of clinical content grow at an exponential rate and through increasingly refined input methods, including voice and improved OCR, clinicians capture more unstructured information about their patients than ever before. Making all clinically relevant content available together, in one place seems like a simple request. Must the response be so complex?
This paper will explore some of the market dynamics driving the financial volatility in healthcare and will explore how advanced analytics, with the right IT backbone and organizational competencies, can help organizations successfully identify ways to manage revenue cycle profitability.
Published By: Infomatica
Published Date: Jul 15, 2015
The International Institute of Analytics presents healthcare results from their proprietary assessment tool, The Analytics Benchmark, including measurement of data-related tactical competencies and culture/leadership competencies necessary for data-driven decision-making to become ubiquitous inside organizations. Download this paper to benchmark where your organization stands in the five stages of maturity and the five elements of alignment needed for success.
Providing employer group customers an easy-to-use analytical platform is one of the key ways health plans can demonstrate value and improve retention. Read to find out more about how Employer Reporting can help health plans and their customers.
In this inforgraphic, we are going to show you the possibilities with modernised, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you.
In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, manufacturing, healthcare and retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previous appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge.
Data is your story. And it’s our story, too.
RelayHealth's Vice President, Business Analytics, Jason Williams examines how healthcare organizations can better set strategies by focusing on key decision points and adding data from real-time sources to what they have already collected.
Consolidation in the healthcare industry has reached a record pace. The volume of organizational change has generated solid templates and best practices for change management. In addition, technological advances provide opportunities for sophisticated data analytics and systems integrations. By identifying and taking advantage of these technologies, healthcare organizations can increase the odds of successful integrations that result in greater agility decrease their cost base, and improve the quality of care they provide.
When performing preventive maintenance or addressing a recall on IV pumps, Deaconess Gateway Hospital personnel spent hours scouring the facility to locate the right pieces of equipment. At the same time, the hospital was purchasing an average of 12 new telemetry packs each year—at over $1,000 each—due to accidental loss of these highly mobile devices.
Read this white paper to learn more about how Deaconess Gateway Hospital is using a real-time locating platform to improve mobile equipment visibility and build a foundation for future analytics and intelligence.