Make data work for you.

Not the other way around.

Know what works…in minutes, not months

Your stakeholders don’t want to wait six months to a year to learn what is working across all of their clinical and consumer initiatives. They want to know NOW so they can make better decisions. With NextHealth’s workflow-integrated platform, you can run in-depth and ongoing analyses of any program with the click of a button.

Optimize everything

Built on Microsoft Azure and utilizing Apache Spark, NextHealth’s secure and scalable platform enables you to measure and optimize outcomes of any and all programs in near real time. No longer will your organization need to choose where to focus precious analytics resources – optimize everything and increase resource availability.

Dig deep and personalize

Move beyond population health management and understand the right levers to turn to impact individual consumers’ behavior. With an AI and machine learning powered platform, it has never been easier or faster to determine the next best action for each member. Achieve personalization at scale, with the touch of a button.

How it Works - Personalization at Scale

NextHealth’s platform moves beyond population management to empower your organization to identify the actions that drive desired behavior at the individual level and then target “look alike” groups for better outcomes. Test and learn rapidly what works for whom and then optimize the results – all integrated into your everyday workflow.

Highly Secure, Scalable Cloud Computing Environment

Powered by Microsoft Azure and Spark, NextHealth easily scales to accommodate your entire book of business and all of your initiatives. As a HITRUST certified solution, the platform offers peace of mind and full security for your valuable data. Integrated and standardized program setup engenders trust and flexibility to focus on the business and clinical goals that are most important to your organization – across service, quality, and affordability.



Yes, this is a great way get to value quickly and gain organizational buy-in. Once your data is loaded on the platform, you can setup any program using either the pre-loaded KPIs or customize new ones. With the integrated propensity score matching capability, you can select and refine control groups. You can also choose from various analytics methodologies to determine the one that makes the most sense for your trial. In days (vs. months), you will know which of your programs worked, precisely how well, for whom, and why – down to a granular level.

Once your data is loaded into the platform, you can begin setting up the programs you’d like to evaluate immediately. Most of our clients have a granular analysis of their current or retrospective initiatives within days or weeks (vs. months or years). Ongoing evaluation is available with every data refresh – no need to wait.

NextHealth has delivered groundbreaking and measurable outcomes across a variety of use cases and lines of business. We invite you to take a look at some of our recent case studies.

Analytics & Data

Our scaleable and secure platform is currently measuring and optimizing over 100 use cases for our clients. Some of the most prevalent include ER utilization, chronic disease management (diabetes, cancer, asthma/COPD, coronary heart failure, etc.), maternity/EPSDT, readmissions, care management, utilization management, and more). The platform’s integrated program setup offers hundreds of standard KPIs or users can create their own. New use cases are being added by our clients every day. We invite you to read a few of our current case studies to learn how our clients are deriving value from their investment.

We don’t incorporate models directly, but we can incorporate the output of your models. Those outputs will be used as a set of risk groupers which are fed into our database to be combined with the variables that our platform identifies to see which variables are the most predictive of impactable risk. We also regularly augment data with 3rd party sources such as social determinants of health, behavioral, or persona data to strengthen our predictive ability.

Machine learning refers to algorithms that find patterns in data. These algorithms are typically “trained” on large amounts of input data and then apply that knowledge to new, but similar data for inference and prediction. Our analytics engine uses specialized algorithms from machine learning to predict key performance indicators for members from large amounts of historical member attributes. It also incorporates AI and an adaptive learning cycle where results from previous deployment iterations feed back into the platform, and new deployments are re-optimized according to the latest results.

General FAQs

NextHealth currently supports tens of millions of members on its platform on behalf of national and regional health plans as well as integrated health systems. We’d love to talk with you about how we can improve affordability and outcomes for you. Please contact us for more information.