Data is the DNA of modern healthcare. As healthcare technology continues to evolve at a rapid pace, and patient data management and security evolve, emerging approaches for disease treatment and prevention—like precision medicine and healthcare content management—are becoming more necessary. Precision medicine is about moving from generic to more precise, population-focused diagnostics and treatment by factoring in data from patients’ genes, environment, lifestyle factors and family history, into clinical decision-making for earlier, more accurate diagnoses, and more effective treatment and prevention. Data is at the heart of enabling doctors and scientists to execute on this mission. Additionally, rapidly changing regulations throughout the world are affecting the management of all healthcare data. Infinidat removes data management barriers from this level of data interaction by removing isolated islands of storage and allowing much more data to reside on a single, high-performance, h
Learn how to maximize efficiencies through greater system integration and automation, enable seamless interactions with providers, members and other constituents, and drive increased healthcare value with automated, value-based programs.
The transition from fee-for-service to value-based reimbursement has been a challenge for many providers. Financial incentives that favored high service volumes must now be re-focused to accommodate alternative models such as bundled payments and accountable care organizations (ACOs).
What is the role of evidence-based medicine in population health management?
With the emergence of value-based reimbursement, more and more health systems have a renewed focus on population health management. See how evidence-based medicine becomes the "sheet music" to an effective population health program.
Learn how IBM Watson Health clinical application advisors helped Floyd Health Care System take full advantage of the platform’s many benefits.
As part of its journey toward population health management, Floyd wanted to optimize the way it used the IBM® Phytel® solution from IBM Watson Health™ and take advantage of its analytical tools.
With help from an IBM Watson Health clinical application advisor, Floyd expanded its IBM solutions and used their unique capabilities to progress toward a more robust population healthcare model by adding care coordination activities and improving key process measures.
Electronic health records (EHRs) are necessary, but were not designed to anchor population health management (PHM). This is partly because they lack semantic interoperability, which is the ability of disparate information systems to share data and enable communications among users in a meaningful way.
This paper explains how an approach that includes a care collaboration platform can manage population health by aggregating and normalizing the necessary data.
Most population health management strategies include initiatives to improve clinical outcomes and decrease the cost of care. Read this one-page interview with Dr. Tina Moen, Deputy Chief Health Officer at IBM Watson Health, as she shares the benefits and insights of collaborative medication management, including incorporating pharmacists in population health strategies.
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
Strong patient engagement leads to improved population health, a better experience of care, and lower healthcare costs. Even so, few healthcare organizations have a well-defined patient engagement strategy, according to research by IBM Watson Health. Read this whitepaper and learn why healthcare organizations should create a comprehensive patient engagement strategy, what each component of such a strategy entails and how to take the steps required to build an effective patient engagement program. From patient portals, telemedicine, and mobile health, to data sharing, automation tools and cognitive computing, you’ll gain the ability to leverage valuable tools for increasing patients’ involvement in their own health outcomes.
Published By: Allscripts
Published Date: May 01, 2014
Know when, why and how your current EHR platform may fall short of delivering a transformative community of care—and develop a new value-based care model that elevates population health and grows revenue across your organization.
Published By: Siemens
Published Date: Jun 06, 2014
This white paper examines some of the critical success factors for a sustainable population health management program and how the CareXcell™ solution can provide the IT infrastructure needed to address new value-based care requirements.
Unlocking value and achieving growth in health care depends on population health management supported by a foundation of accurate, comprehensive and actionable data.
This toolkit is designed to help you take immediate action to assess, refine and expand your organization’s ability to deliver improved care quality while controlling costs.
Published By: Allscripts
Published Date: Aug 29, 2013
This single physician practice started with the need to increase efficiency and practice better care. After implementing Allscripts technology, the practice exponentially improved population health management, achieved Meaningful Use, cut two months out of their billing process—all while saving $65,000 annually.