Although quality-reporting programs such as meaningful use provide incentives to help providers implement and use electronic health records (EHRs) to collect and report on clinical data, practices often need help deciding what data to collect, which measures to report on, and how to best use their EHRs to do so. This white paper provides you with the basic information you need to choose appropriate CQMs for your practice, and offers tips on how to use your EHR to store the data in a structured format.
All phases of an EHR migration require planning and an understanding of what data is needed to provide a complete EHR that supports clinical adoption, patient care, safety and satisfaction. This white paper examines the strategic considerations and challenges encountered when migrating data to a new system.
When moving to a new EHR all hospitals face the challenges of cross platform migration which includes migrating all types of historical patient data from legacy systems to new systems. In this white paper you’ll learn the steps involved in data migration, the pitfalls to avoid, steps to success.
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.
As healthcare organizations become more adept at collaboration, data mining, and understanding the unique populations they serve, they are designing innovative care programs that involve higher risks and rewards.
In today’s healthcare landscape, technology is instrumental in facilitating the strategies of healthcare business leaders. Technology also provides these executives with access to the critical data that they need for decision making, planning, and forecasting.
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.
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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.
The Truven Health 15 Top Health Systems® in the United States outperform their peers by demonstrating balanced excellence—operating effectively across all functional areas of their organizations. Investigating the winner and nonwinner data from this study is a useful way to see how the nation’s health and the industry’s bottom lines could be improved. For apples-to-apples comparisons, the 15 Top Health Systems were placed into size categories by total operating expense: large (>$1.5 billion), medium ($750 million–$1.5 billion), and small (<$750 million).
The median fiscal and operational performance of U.S. hospitals over the past year remained relatively flat, despite expectations to the contrary. The data spans a four-year period from 2009Q4 to 2013Q4. Overall, hospitals saw flat or no growth in utilization, but major teaching hospitals saw steady utilization growth.
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.
Healthcare organizations are allocating significant dollars, time and resources to the implementation of electronic health records (EHRs). While several studies have estimated the cost to purchase and install an EHR to be anywhere between $15,000 to $70,000 per provider1, real-world implementations have soared into the billions.
Even as the move to electronic health records (EHR) progresses in earnest, there are a myriad of challenges involving legacy data systems. Chief among these challenges is the cost of maintaining obsolete systems solely for the patient information they contain. When up to 70% of a typical IT budget is spent on maintaining the current IT infrastructure and application portfolio, organizations have little left to invest in much-needed innovation. According to a recent HealthLeaders Media Survey, many organizations are still adjusting after their migration to a new EHR system. Hospitals need to get a better grasp on all forms and sources of data that they have—and the data they don’t yet have—so that the right information can be delivered to the right individual, and in the right context, at the point of care.
Creating a state-of-the-art clinical documentation improvement (CDI) program isn’t just about boosting coding accuracy. It’s a key strategy in managing the transition from volume-based to value-based care, say healthcare leaders. That transition is a risky endeavor that is putting hospital and physician financial performance to the test. As hospitals participate in new care and business models aimed at improving value, leaders must ensure that their organizations are able to maintain reimbursement levels, effectively treat the chronically ill—especially in outpatient settings—and gather accurate data that will allow them to assess performance and segment their varying populations. While some organizations often believe they are leaving revenue on the table because of documentation and coding issues, CDI offers numerous opportunities for improving financial performance, finds a recent HealthLeaders Media survey of 149 healthcare executives at provider organizations.
A recent Health Leaders survey sheds light on the top 5 workforce initiatives healthcare executives across the country are using for successful quality of care and labor cost improvements. Learn how these leading strategies can help your hospital.
Electronic health record (EHR) system implementation is one of the largest IT investments most healthcare systems have ever made but it’s success is largely dependent upon the data which feeds it. One the main data sources for the EHR is the item master, which drives not only supply chain processes but also a broad range of clinical and financial functions. Only with a clean, accurate and complete item master can a healthcare organization trust the outputs generated from its EHRs – from evaluating the clinical effectiveness of products to securing reimbursements. Learn how to execute a master data management strategy to derive the greatest value from your EHR investment.
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.
In October 2013, S&P Dow Jones Indices (S&P DJI) launched the S&P Healthcare Claims Indices (the indices). This new index series is designed to provide an independent, timely measure of the changes in healthcare expenditures and utilization for individuals enrolled in commercial health insurance plans in the United States.
S&P DJI developed these new indices in conjunction with healthcare professionals at Health Index Advisors (HIA), a joint venture between the premier actuarial and consulting firms Aon Inc. and Milliman Inc. S&P DJI combined its knowledge and experience in developing leading indices with HIA’s experience in the healthcare market to develop the first index series of its kind, based on actual healthcare claims data. These indices seek to increase transparency in the healthcare market and enable the analysis and tracking of changes in healthcare expenditures.