It’s no secret that the Quadruple Aim – healthcare’s holy grail of reducing costs, improving population health, enhancing patient engagement, and improving the experience for healthcare providers – is essential for cost-effective healthcare. It’s also no secret that achieving the Quadruple Aim isn’t easy.
That’s because health professionals and payers are practically drowning in patient and population health data. This information should help unlock Quadruple Aim benefits, but few organizations have the expertise or infrastructure to make productive sense of that data.
Gather and parse relevant population, medical, and lifestyle data without biases
Generate trust by transparently showing how it reaches conclusions
Simplify day-to-day workflow for healthcare providers, social services agencies and patients
Turn all that data into actionable, explainable intelligence and insights – then scale and translate those insights into intuitive, meaningful actions geared toward achieving the Quadruple Aim
Work as a service – with no need to learn and maintain an in-house technology platform or require a data science degree just to use it
Population health professionals could easily identify non-intuitive relationships that, when acted upon, could impact the well-being of both large populations and individual patients. Since they wouldn’t have to waste valuable time collecting and analyzing data, they would be able to focus on doing what they do best – help people live better and healthier lives.
Health plans could gain instantaneous insights into gaps in care, identify member segments for quality improvement, calculate clinical or social determinant risk scores, and more. They could correlate non-medical social needs with granular geographic location data to identify at-risk individuals for targeted programs. And they would achieve both immediate benefits, such as earlier interventions, as well as long-term improvements in managing chronic conditions – often even before these conditions become evident.
For example, payers might use ZeOmega’s insights to identify diabetes patients within a specific census tract where socioeconomic issues form barriers to payment and transportation. Targeted care management programs could then connect these individuals with interventions and community resources that overcome the obstacles, ensuring everyone receives the care, service, and support they deserve.
The ZeOmega CareIntel Solution Delivers Quadruple Aim Results
ZeOmega’s CareIntel solution enables health plans and population health professionals to anticipate and mitigate risk at both the population and the individual level – with transparency and without complexity. CareIntel is acomprehensive solution which offers a FULL analytics stack in ONE suite, combining AI’s predictive capabilities with:
Rules based retrospective analytics
Supervised Machine Learning
The Jiva Sentinel Rules Engine
Our decision tree algorithms found within the Assessment Configuration Engine.
Equally important, our CareIntel solution directly supports every element of the Quadruple Aim (click through for more about each):
Improve patient engagement via practical solutions that work within geographic and socioeconomic constraints. ZeOmega produces recommendations that fit patients’ local needs, giving engagement efforts the greatest likelihood of success, both immediately and over time
Reduce costs through automated workflows and enhanced member engagement for ongoing management of chronic conditions
Strengthen population health outcomes with no need to reinvent the wheel. ZeOmega delivers a complete population health management solution, ready to implement quickly and affordably today
Achieve a better healthcare provider experience by freeing population health experts to serve patients rather than manually process, track, and trend impossible amounts of data
ZeOmega’s CareIntel provides the only AI-based that provides interpretable AI with rules-based workflow solutions and supervised learning methods that connects macro-level population health analytics with personalized, targeted healthcare needs.
To learn more about ZeOmega and CareIntel contact us at email@example.com or 214.618.9880.
Director, Population Health Informatics - ZeOmega
As Director of Population Health Informatics for ZeOmega, Cindy Henry is responsible for product innovation and market expertise in population health management and value-based care.
Cindy is a member of the Product Planning team contributing subject-matter expertise to shape the product roadmap and provide thought leadership. She collaborates with other experts, clinicians and development teams to survey regulations, monitor policy changes, and research market trends to ensure ZeOmega’s products continue to meet the evolving and emerging needs of our clients.
Cindy began her career in population health in 2015 as a Business Intelligence Project Manager at North Texas Specialty Physicians (NTSP), an independent physician association and parent company of Care N’ Care, a Medicare Advantage plan in Texas. While at NTSP, she held several titles including business analyst, project manager, and interim manager for the Business Intelligence and Application Development teams. Before coming to ZeOmega, Cindy was the Medicare Advantage Product Manager for a PHM startup company.