Healthcare Data Quality and The Complexity of Healthcare Analytics

Posted on March 2, 2015 I Written By

John Lynn is the Founder of the blog network which currently consists of 10 blogs containing over 8000 articles with John having written over 4000 of the articles himself. These EMR and Healthcare IT related articles have been viewed over 16 million times. John also manages Healthcare IT Central and Healthcare IT Today, the leading career Health IT job board and blog. John is co-founder of and John is highly involved in social media, and in addition to his blogs can also be found on Twitter: @techguy and @ehrandhit and LinkedIn.

The other day I had a really great chat with Khaled El Emam, PhD, CEO and Founder of Privacy Analytics. We had a wide ranging discussion about healthcare data analytics and healthcare data privacy. These are two of the most important topics in the healthcare industry right now and no doubt will be extremely important topics at healthcare conferences happening all through the year.

In our discussion, Khaled talked about what I think are the three most important challenges with healthcare data:

  1. Data Integrity
  2. Data Security
  3. Data Quality

I thought this was a most fantastic way to frame the discussion around data and I think healthcare is lacking in all 3 areas. If we don’t get our heads around all 3 pillars of good data, we’ll never realize the benefits associated with healthcare data.

Khaled also commented to me that 80% of healthcare analytics today is simple analytics. That means that only 20% of our current analysis requires complex analytics. I’m sure he was just giving a ballpark number to illustrate the point that we’re still extremely early on in the application of analytics to healthcare.

One side of me says that maybe we’re lacking a bit of ambition when it comes to leveraging the very best analytics to benefit healthcare. However, I also realize that it means that there’s still a lot of low hanging fruit out there that can benefit healthcare with even just simple analytics. Why should we go after the complex analytics when there’s still so much value to healthcare in simple analytics.

All of this is more of a framework for discussion around analytics. I’m sure I’ll be considering every healthcare analytics I see based on the challenges of data integrity, security and quality.