population health management

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.

This case study examines in more detail BSVMG’s approach to transitioning to value-based care—and outlines Phytel’s recommended roadmap to successful population health management.

This whitepaper features a discussion of how leading healthcare organizations are developing a strategy for risk contracting and population health management.

Download the whitepaper to learn more, including estimates of how much organizations can earn or save by creating an IT infrastructure for population health management.

Government and commercial payers are transitioning from encounter-based reimbursement to new payment models that reward coordination of care and population health management.

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.

This whitepaper is a step-by-step “playbook” based on athenahealth's work with clients who have seen success and shared in savings through the Medicare Shared Savings Program (MSSP).

Learn how IBM Watson Health clinical application advisors helped Floyd Health Care System take full advantage of the platform’s many benefits. Business Challenge 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. Transformation 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.

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.

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.

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.