Mede

MedeAdopt

Optimize return on your analytics investments

Analytics solutions require significant investments of time and money—but many health plans are not seeing the returns or effects they'd hoped for. This is often a result of insufficient user adoption, monitoring and ongoing education. MedeAdopt is a self-service tool built to help you ensure that users are extending—rather than limiting—the value and impact of your MedeAnalytics solutions.

Applying data to support your users

Challenge
Solution

Insufficient onboarding and utilization reporting leads to low adoption and engagement

Challenge
Solution

Manual, sparse communications limit user awareness of new features and hinder them from sharing feedback

Analytics in action

MedeAdopt provides real-time, on demand product usage analytics and onboarding, training, and in-app messaging that seamlessly integrate with your analytics solution.

Explore a few key features by hovering over the image.

MedeAdopt_desktop image

Examine user segments to target training and in-app guides 

Find top utilizers and top-used analyses 

Get high-level statistics and trends for your users 

View user data by page and feature usage 

Dive deeper into MedeAdopt

Download the data sheet to see how MedeAdopt gives health plans the data points necessary to inform business decisions and drive user behavior to improve satisfaction, cost savings, communications and engagement.

Get our take on industry trends

Avoid COVID-19 modeling pitfalls by eliminating bias, using good data

June 2, 2020

COVID-19 models are being used every day to predict the course and short- and long-term impacts of the pandemic. And we’ll be using these COVID-19 models for months to come.

Read on...

Population Health Amid the Coronavirus Outbreak

May 19, 2020

In speaking with many colleagues throughout the provider and payer healthcare community, I’ve found an overwhelming sense of helplessness to the outbreak’s onslaught. This is exacerbated by the constant evolution of reported underlying medical conditions that indicate a higher risk of hospitalization or mortality for a coronavirus patient.

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3 Steps Any Healthcare Organization Can Take to Improve Enterprise Analytics

February 24, 2020

By Kristin Weir When it comes down to the most basic purpose of why organizations use analytics, it’s simple: they…

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Why Predictive Analytics is the Answer to Healthcare’s Big Data Problem

February 7, 2020

By Scott Hampel Making improvements in healthcare data analytics has the potential to lead to significant cost savings and improved…

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