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analysts assessing how to measure population health with data charts and graphs

How to measure population health with Converged Population Health

The best way to master population health management is to break it down. First, understand the various forms of data needed to inform your population health strategy. Then, figure out how to measure population health in a way that is scalable with as little tension as possible in the entire process, from data collection to data analytics and organizational decision-making.

For providers and payers alike, this can seem like a major undertaking. With the right technology, though, population health management can be much easier and more effective.

In this blog, we’ll cover:

    • The value of population health management
    • How to measure population health with Inovalon Population Health Insights
    • Use cases for population health analytics

Why measure population health?

Population health management is the practice of using common shared characteristics across individual patients to positively influence the health outcomes of patient populations, versus individual cases per patient. It allows providers and payers to gain a deeper understanding of their patient communities and what they can do to improve health outcomes at large.

This can’t be done without data.

Effective population health management requires ongoing monitoring, action, and data collection, all operating in a cycle that continuously informs an organization’s next step in supporting their populations’ wellbeing.

So, how can healthcare professionals best measure population health? Enter: Inovalon’s Converged Population Health – a software that delivers a holistic view of patient populations to support quality improvement, intervention, and case management programs to drive patient-centered care and reduce healthcare costs.

The building blocks of Converged Population Health

Our solution is built on a rich foundation of data, coupled with industry-leading analytic algorithms, and enriched with demographic data, all to help meet your population health management needs.

The Inovalon MORE2 Registry

The Inovalon MORE2 Registry is the healthcare industry’s largest primary source dataset in the U.S. With over 20 years of aggregated data, the registry includes over 350 million unique patients and 69 billion medical events, spanning across 611,000 clinical facilities and all 50 states (including D.C. and Puerto Rico).

This vast amount of comprehensive, authorized data informs the analytics within Converged Population Health.

Predictive analytics powered by the John Hopkins ACG System

The combination of our dataset with the John Hopkins ACG System allows customers to:

    • Identify diagnostic risk
    • Predict health outcomes at the patient, subgroup, and population level
    • Perform advanced analytics using medical claims, health records, and demographic details

Social determinants of health (SDOH) and consumer data

To ensure the highest levels of accuracy and effectiveness, care coordination teams can leverage enriched demographic information including poverty levels, education medians, and data on other barriers to care. This data is available within the solution and can be combined with your organizational data for further analysis.

Converged Population Health in action

Armed with expansive, representative data and sophisticated analytic capabilities, our customers are able to perform population segmentation and risk stratification, predictive analytics, and more.

Health plans gain data-driven insights to inform quality improvement initiatives, benefiting their operations and their provider network partners. They can increase data visibility with a more holistic view of member care, and can then identify, predict, and prioritize at-risk populations to inform the optimal member-specific interventions for both clinical and non-clinical needs.

Ultimately, as both payers and providers enhance their population health management, it’s patients who have the most to gain as their care interactions and outcomes improve. Their benefit is the prime example of population health analytics in action.

Interested in learning more about Converged Population Health? Request a meeting with our team today to take your first step in improving your organization’s population health management.

About the author

Kristopher Volrath, Senior Vice President, Product