BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT

San Francisco, CA
June 13-14, 2018

The Good, The Bad, The Ugly, and A Solution

June 13, 2018
11:55am - 12:15pm
Grand Ballroom

Carilion Clinic, a nonprofit healthcare provider serving more than one million patients in Virginia, is like many organizations. It's moving towards a data-driven approach with a stronger emphasis on analytics.

That’s the good news.

But when it comes to data quality, once you get past the various tables, databases, departments and differences in data to focus on a specific analysis, you realize that the data is “ugly.” Missing values, typos, multiple representations of the same values, and illogical values affect the reliability of any results from your analysis, the validity of any interpretation of the data, and increase the likelihood of misappropriating funds towards areas that cannot be improved easily. That's bad.

How did Carillion address this? By tackling all aspects of the data quality issues simultaneously by establishing a Data Quality Assurance Initiative.

Key takeaways:

  • Identify issues facing healthcare data quality.
  • Strategy implemented by one healthcare organization to overcome those issues.
  • Best practices, lessons learned, and obstacles for implementing a data quality assurance initiative.

 

Nike

Speakers

Shea
Jessee
Programmer Analyst
Carilion Clinic
Tonja
Locklear
Healthcare Statistician
Carilion Clinic

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