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.
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.
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.
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.
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: McKesson
Published Date: May 27, 2015
The shift to value-based care creates a sharp increase in healthcare organizations and networks’ need for data collection, aggregation and analysis. This white paper outlines the challenges involved with performing population-level analyses, developing cost accounting and profitability analyses across care settings, evaluating care episodes and integrating quality data. It explores the limitations of targeted software solutions to provide cross-enterprise insights. Finally, it provides advice for healthcare executives regarding how to approach gathering quality and cost-related data and how to leverage technology and analytical expertise to drive risk-based contract success.
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
Zebra’s broad range of enterprise-level, healthcare-designed, end-to-end solutions provides a wealth of benefits throughout a healthcare facility, enabling clinicians, staff and administrators to sense, analyze and act in real time. Identity solutions can help improve accuracy and enhance patient safety, deliver greater operational efficiency and caregiver confidence, and improve the patient experience. Mobility solutions help improve staff communication and collaboration with enterprise effectiveness and workflow efficiency. Intelligence solutions offer greater visibility to data on patients, staff, assets and the facility overall for better decision making.
The changing healthcare environment means that both payers and providers must use all of their available data to ensure that employee productivity goals are met, members and patients receive high-quality service, and compliance is maintained. Unfortunately, many organizations face challenges with disparate systems providing inconsistent data. Find out how leading healthcare organizations are integrating HR and finance systems for one source of truth, and in turn enabling better decisions.
The healthcare payer ecosystem in the United States has changed dramatically over the last decade and is expected to evolve at an even faster pace over the next few years. Many world-class companies involved in healthcare payment processing are finding themselves constrained by their existing information technology infrastructure. The silos that they built around business-to-business (B2B) processing are constraining them, making it difficult to achieve governmental mandates and (more importantly) increase processing efficiency and competitive advantage. Gone are the days of a small set of data following static and simple standards traded between a limited set of organizations.
Gone are the days where the rules for when data is valid versus invalid can expressed in a paragraph or two. Gone are the days when information about a healthcare payment was almost entirely about the "who," "when," and "how much."
Healthcare accounts for 21% of all cybersecurity breaches, making it the most affected business sector in the U.S. economy. Ongoing attacks are predicted to cost providers $305 billion in lifetime revenue over the next few years. Download this white paper to learn how to make healthcare cybersecurity stronger.
The volume of information in the healthcare industry continues to grow exponentially. Meaningful Use, ICD-10, and Accountable Care are all contributing to this data growth. Download this whitepaper to learn how your organization can develop strategies to effectively manage this information throughout its life cycle.
The US healthcare industry has historically lagged behind others in the maturity of security capabilities, only recently catching up on data security and privacy in response to HIPAA. But there is a wide range of other mounting risks unique to healthcare that S&R pros in healthcare can’t ignore — greater regulatory pressure, increasing targeted attacks, the frightening uncertainty of IoT security, and global economic pressures. This report outlines the most important security capabilities for security leaders in this sector to implement in the face of these challenges.
IT leaders today are reinventing their infrastructure to support a mobile workforce and a complex array of connected devices. Against this backdrop of mobility and connectivity, Healthcare IT is tasked with meeting compliance challenges in an intricate and transformational regulatory environment. With a host of new data protection regulations and increasingly high settlement fees for data breaches, data security has never been more important to Healthcare organizations