CASE STUDY: Bon Secours Virginia Medical Group
Building the roadmap to population health management with Bon Secours Virginia
For traditional health systems and physician groups, embracing the Accountable Care Organization (ACO) model is no easy matter. Value-based care has turned the tables on traditional fee-for-service (FFS) reimbursement, rewarding providers instead for keeping an entire population healthy independent of engagement status. Even before the advent of value-based care, though, pioneering medical groups and health systems were deploying population health solutions to drive higher-quality, more efficient patient care at a lower cost. With each new success, they have refined the roadmap for achieving truly impactful population health management.
CASE STUDY: Mercy Health
Premier healthcare provider in Ohio achieves PCMH and ACO success with Watson Health’s population health platform
Mercy Health needed to transition its primary care offices to a PCMH model while developing an efficient way to manage its clinical quality measures to meet certification requirements.
CASE STUDY: Irish Centre for Fetal and Neonatal Translational Research (INFANT)
University College Cork improves outcomes in neonatal intensive care with IBM Streams
“ With IBM Streams our detection and monitoring platform is allowing us to recognize neurological problems much quicker, so we can provide better patient outcomes. ”
CASE STUDY: International Medical Corps (IMC)
Uses advanced analytics to shrink response times and save lives
IMC wanted to provide faster care to disaster victims, but a lack of actionable information on emerging situations made it difficult to allocate resources efficiently. By replacing multiple separate reporting systems with a single, centralized IBM® Analytics solution, IMC ensures doctors and coordinators have access to the information they need when they need it.
How it works
Put existing data to use with domain expertise across chronic and at-risk populations. Our automated engagement and care management platforms help manage the populations you serve— right down to the individual—to reduce workload and provide trackable and transparent data, enabling care teams to reach the right patient, for the right reason, at the right time.
Population health management (PHM) requires a data-driven process enabled through technology. IBM Watson Health solutions are delivered as a Software-as-a-Service and provides robust data integration and aggregation competency, risk-stratified analytics performance measurement reporting, care management and care coordination tools, and patient engagement solutions that encourage every member of the care team to function at the highest level.
Predictive analytics can help your organization to be proactive, strategic, and efficient in aligning resources and services for patients. With our data models, we can unify data for better health insights, empowering healthcare IT teams to rapidly harvest and analyze big data from clinical, financial, and operational systems, using a security-rich, cloud-based superstructure.
How you can benefit
This comprehensive solution portfolio derives insights from both your structured and unstructured content. In high-risk populations, it fuels improved patient care through early interventions and helps new reimbursement models for quality care meet compliance. Enable greater collaboration, efficiency, connectivity, and actionable data to enhance care coordination, and extend patient engagement capabilities to manage populations and achieve the Triple Aim to lower cost, improve quality and the patient experience.
The Patient-Centered Medical Home: “How to” from 5 healthcare organizations
Learn how five clients utilized Watson Health’s population health management solutions to integrate the key functions and attributions required to achieve PCMH recognition.
Addressing Social Determinants and Its Impact on Healthcare
Learn how intervening proactively to address the social determinants of health and taking a smarter approach to care can curtail or even reduce the costs of healthcare.