Deerwalk Blog

Deerwalk Releases Plan Analytics Version 7.8

Posted by Deerwalk Engineering Team on July 11, 2018

Deerwalk is proud to announce enhanced features of Plan Analytics, the flagship population health analytics and reporting application, with version 7.8 released earlier this week. The release is available immediately and includes two new reports; the Trend and Variance Summary report and the Injectable Drug Place of Service Savings report.

Deerwalk Plan Analytics Use Case 18.6.2 - Utilization Metric Module Offers Comparative ER Cost Analysis

Posted by Deerwalk Account Management Team on June 21, 2018

Objective:   A customer wanted to find out why two facilities in the same area had such a difference in emergency room visit cost.

The Promise of Integrated Healthcare Management Fulfilled

Posted by Jo Anne Hunt on June 19, 2018

Health organizations across the United States have jumped onto the population health management bandwagon striving to provide efficient care management services while lowering plan members’ health risks and costs. The desire to identify members with modifiable risks — while aligning care management services to fit the population’s needs — is pushing healthcare organizations toward advanced data management platforms, migrating to data-supported care management programs. Deerwalk’s integrated[...]

Deerwalk Releases Version 9.9 of Care Manager and Version 8.6 of Health Portal

Posted by Deerwalk Engineering Team on June 14, 2018

Deerwalk is proud to announce enhanced features in new releases of its Care Manager and Health Portal applications, giving more value for clinicians and employees, respectively.

Deerwalk Releases Plan Analytics Version 7.7

Posted by Deerwalk Engineering Team on June 13, 2018

Deerwalk is proud to announce enhanced features of Plan Analytics, the flagship population health analytics and reporting application, with version 7.7 released earlier this week. The release is available immediately and includes a new Trend Analysis report that is a collection of three charts that forecast paid/allowed claim amounts; incurred but not reported (IBNR) claims, and medical risk trend using the Milliman MARA predictive modeling scores:

Noteworthy or Just Another Episode? Exploring Episode of Care in a Value-Based Care Environment

Posted by Jo Anne Hunt on June 05, 2018

Prescriptive Analytics in Healthcare - What Does It Mean?

Posted by Tim Huke on May 24, 2018

My last two posts addressed a general overview of the healthcare analytics continuum, and the importance of foundational data integrity to healthcare analytics. For today's post I'd like to dig a little deeper into the difference between descriptive, predictive and prescriptive analytics, with a focus on prescriptive analytics, as I've found it has different meanings for different users.

Pushing the Right Healthcare Data “Pins” – The Art of Member Match to Population Health Analytics

Posted by Scott MacEwen on May 21, 2018

Ever tried to create a portrait image of another person using push pins? Neither have I, but it looks hard. Few have mastered the art.

Deerwalk Releases Version 7.6 of Plan Analytics

Posted by Deerwalk Engineering Team on May 18, 2018

Deerwalk is proud to announce enhanced features of Plan Analytics, the flagship population health analytics and reporting application, with version 7.6 released earlier this week. With 7.6, the application will now report age and gender adjusted benchmark values to give customers higher quality comparisons of patient populations and provider performance.

The Importance of Foundational Data Integrity to Healthcare Analytics

Posted by Tim Huke on April 10, 2018

My last post addressed a general overview of the entire healthcare analytics continuum - from foundational data integrity to true prescriptive analytics. At the end of that post I promised to dive into each layer with a bit more detail. So today's post will deal with the most important layer in the continuum - foundational data integrity. After all, without high quality, fully integrated and enriched healthcare data, any analytics exercise will be flawed at best.

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