healthcaretechoutlook

NextHealth Technologies: Driving Measurable Consumer Behavior Change Using an Advanced Analytics Platform

 Eric Grossman, CEO
Today, the healthcare business model in the US is shifting from a wholesale to a retail consumer experience due to factors like the rising number of covered Americans, growing frictionless consumer expectations, and the ubiquitous availability of information/big data. In the face of these market forces, as it relates specifically to analytics, CIOs and CEOs in the healthcare sector are seeing limited results despite significant and continued investments.
Headquartered in Denver, Colorado, NextHealth Technologies offers an advanced analytics and consumer engagement platform that is producing real outcomes such as a sustained and groundbreaking 25 percent reduction in unnecessary ER visits within a targeted Medicaid population. The company leverages rich data, prescriptive analytics and behavioral economics to recommend, manage, and optimize consumer engagement. Utilizing multiple competing trials and comparing them to controls, NextHealth can also pinpoint causality. “Our solution quickly evaluates and compares campaigns with parallel adaptive learning to optimize what is working for members and turn off what is not cost-efficient, resulting in unmatched outcomes” says Eric Grossman, CEO, NextHealth Technologies.

NextHealth’s customers are risk-bearing entities including regional and national health plans, hospitals, accountable care organizations, Blues, and state Medicaid departments. NextHealth’s core competence is measurable behavior change, so it typically contracts for a percentage of measured savings or KPI improvements in a managed services model. NextHealth’s platform integrates behavioral economics through carefully constructed messages, nudging targeted members to use more cost-effective care settings such as an advanced nurse call line, telemedicine, and scheduling assistance for well child visits.

As a result, NextHealth’s customers are, typically within 90 days of platform deployment, seeing profound results such as the sustained 25 percent reduction in ER visits and costs within a targeted Medicaid population.
NextHealth’s SaaS platform incorporates breakthrough in advanced analytics, behavioral economics, and consumer engagement techniques to predict risk and prescribe personalized member-level actions or “nudges" to improve outcomes. NextHealth first starts by defining which problem to solve, e.g., reducing ER visits, readmissions, member retention, or out-of-network conversion. Then the NextHealth platform and managed services cycle through four stages. Stage one: they assemble a predictive database from sources such as longitudinal claims, clinical and lifestyle information, and demographic data to predict and change member behavior. Stage two: they apply principles from behavioral economics and experimental marketing to construct campaigns and prescriptive analytics to determine which actions or nudges can change member behavior. Stage three: NextHealth’s consumer engagement tier delivers personalized nudges through a proprietary multi-channel approach including outbound calls, mobile, text, direct mail, and emails. Stage four: they measure and optimize campaign effectiveness and derive causality by identifying highly predictive clusters of member behaviors, claims histories, attributes, and responses to past events and offers.

Just recently, NextHealth has confirmed that we have indeed reduced Emergency Room visits and costs by over 25 percent within a targeted Medicaid population, far exceeding expectations


NextHealth plans to outpace competitors by continuing to deliver unparalleled outcomes for its customers. Importantly, these outcomes are realized faster, scale to other programs, and are delivered at a lower cost through the deployment of an integrated platform. Lastly, because NextHealth can prove causality with an integrated offering, they are willing to put their fees at risk. “As long as our customers keep our system running, they will generate big outcomes,” concludes Grossman.