Deerwalk Blog

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.

An Overview of the Healthcare Analytics Continuum

Posted by Tim Huke on February 15, 2018

Recent polls by GE and Accenture show that big data analytics is a priority for almost 90% of organizations within healthcare. Data is an essential tool for market participants that want to increase share while improving the quality of customer deliverables. And, in the not too distant future, healthcare providers and stakeholders that implement an analytics strategy will excel in clinical quality and prevention of operational bottlenecks.

Population Health Analytics Platform vs Reporting Application 

Posted by Tim Huke on February 01, 2018

In many fields, it is common to hear the terms "platform" and "application" tossed around interchangeably. The confusion is understandable because, for a non-technical person, platforms and applications can provide similar initial results. The two concepts are quite different, though, and it's important to understand which one your organization needs.

Stop Managing Your Healthcare Data Like It's the 1990's 

Posted by Jeff Gasser on July 05, 2017

If I were going to design the worst possible health care analytics department in a health plan, TPA, or benefits consultancy, this is what I would do. First, I would go out and buy all the hardware and software licenses I needed, not to mention the database administrators and IT personnel necessary to support it. Why use the cloud? That's just a trend, right? And what about data security? The cloud can’t be nearly as secure as my data warehouse, right?

Population Health Analytics.....Right Time, Right Solution

Posted by Tim Huke on January 26, 2017

I’ve spent my entire professional career in healthcare - 24 years and counting. The vast majority of that time was spent in the cost containment segment, in particular PPO network management strategies and out-of-network repricing and negotiation strategies. For years, I passionately believed that the products and services I represented were providing value to my clients by reducing their paid claims expense. Over the last 5-7 years of my tenure in that segment of the business it became more[...]

Medicare Reference Pricing - A Prescription to Fix the ACA

Posted by Jeff Gasser on November 01, 2016

Due to our presence in the Population Health Analytics space, I often get asked about what we should do about the Affordable Care Act ("ACA") and the declining choices at greatly escalating rates. As ACA open enrollment starts this week, I've been thinking a lot about this question, and I think it's timely to consider some solutions today. I look at a lot of data, so a couple of simple observations first. Health insurance isn't that complicated.  Add up total claims on a population and[...]

Deerwalk & ClearHealth - Like Surf & Turf for Medicare Reference Pricing

Posted by Maris Mejia on October 27, 2016

Reference Based Pricing Lately, all eyes are on Reference Based Pricing (RBP). In fact, it was standing room only at the Reference Based Reimbursement (RBR) discussion panel last month in Austin at SIIA's biggest event of the year. SIIA’s National Educational Conference & Expo is the world’s largest event dedicated exclusively to the self-insurance/alternative risk transfer industry. RBP was also a hot topic at the recent SPBA conference in Minneapolis, and it’s clear that many TPA’s are[...]

A Single Source of Truth in Population Health Analytics

Posted by Scott MacEwen on September 22, 2016

No, I am not talking about the Dalai Lama. I am talking about having a Population Health Analytics strategy that incorporates a Single Source of Truth (SSOT).  In the past this strategy was often synonomous with a healthcare data warehouse. But with Big Data solutions, it's commonly referred to as a "Data Lake".  More and more often, our customers refer to it as their single source of truth, so we decided to adopt the phrase and expand on it.

Finally....Medicare Reference Pricing embedded in my Population Health Analytics application!

Posted by Tim Huke on August 04, 2016

The more time I spent in the field this past spring, the more I heard from both existing and potential clients about the need to analyze plan allowed amounts against Medicare pricing equivalencies.  It's no secret that employers, brokers, consultants, TPA's and health plans are all considering various reference-based or Medicare-based pricing strategies in their plan designs.  Whether considering a total PPO replacement, a narrow network strategy complemented with Medicare pricing wrapped[...]

What is a Population Health Analytics Rules Engine and Why Should I Care?

Posted by Jeff Gasser on July 26, 2016

It seems like the more I look at websites in the healthcare IT space, the more confused I get. I don't know how many times I have read a website and come away thinking "Okay. Sounds impressive, but what do you actually do?" In fact, I have gotten away from using the generic term “analytics”, because it can mean almost anything and therefore means nothing. I like the term "rules engine", but even that can be confusing at times. I am sure many people think that if you've seen one, you've seen[...]

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