We’re used to looking at a lot of healthcare metrics – utilization, costs, outcomes. Even just a little more data can tell us a lot more about people in context.
Check out how Plan Sponsors are surfacing measurable differences within their populations, by adding just a little more data into their analytics.
See some examples See a webinar
We’ll help you get started on measuring how healthcare needs and patterns change across different subpopulations at your organization.
Amplify analytics with SDoH enrichment. This helps reveal health inequities.
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See how easy it is to look at how social determinants of health influence your population. Find where inequities exist and track progress of program efforts.
Measuring these differences allows us to take what we anecdotally see or suspect, and support it with facts.
Collegaues focused on Diversity, Equity, and Inclusion (DEI) agendas are wonderful partners. Share these insights with them. The numbers give your organization a brilliant set of facts to help drive decisions aligned to company goals.
We’ll help you surface these insights at your organization. Contact us to hear more about the possibilities.
Health “Big Data” is a beast. It’s not as simple as other Big Data. What’s important to think about regarding the architecture of a health “Big Data” platform? What’s so special Enlight? Keith Wilton, head of Product at HDMS shares some inside views.
Listen in…
There’s so much data and so many metrics these days. Maybe you don’t have time to check in and investigate results everyday.
Create Alerts in Enlight. Let data tell you when you need to dig in. Use Enlight’s proactive insights to make more time in your day.
Health data is complex, but once unlocked, gives us access to deep insights. Share what you see with others at your organization and break through barriers that slow down your transformation.
Use Enlight’s analytic insights to help define a better path to health for your population.
Health data is complex, but once unlocked, gives us access to deep insights.
See an example of KPI dashboards. Use or configure for customers or plan sponsors.
Do more with data.
Use Enlight’s analytic insights to help define a better path to health for your population.
Take a close look at how social determinants influence costs and utilization for your population.
See the value and impact of point solutions. How do they affect total costs and overall health?
How equitably do plans and networks meet diverse population needs?
Predictive models help you anticipate costs and identify ideal targets for specific actions.
What can data tell us about mental health? What can we do better?
Take a look at how the same data can be used, in different ways, to understand the quickly changing needs around mental health care services. Look at trends, leading indicators, predictions and prescriptive actions. Do more with data.
The healthcare market talks about the growing data gold rush.
How will your organization innovate and capitalize on this increasingly valuable asset?
Gain meaningful insights that drive change and transformation. We have specialized technology and deep data management expertise – built specifically to create value from health data. Let’s talk about what we can do for you!
*Sources: IDC Doc #US48114121 Jul 2021: Revelations in the Global DataSphere, 2021; IDC Doc #US44413318 Nov 2018:The Digitization of the World – From Edge to Core
See how users get answers and powerful analytic insights in Enlight.
You don’t need to be technical to find and use data from this secure connected health data platform.
Take a close look at how social determinants influence costs and utilization for your population
See the value and impact of point solutions. How do they affect total costs and overall health?
How equitably do plans and networks meet diverse population needs?
Predictive models help you anticipate costs and identify ideal targets for specific actions.
Watch the 20 minute tutorial (to the right). It is great for HR executives and Health Plan product managers who want to have more informed discussions about how and where predictive analytics can complement efforts at their organization.
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