BIG DATA & HEALTHCARE ANALYTICS: A HIMSS EVENT
SAN FRANCISCO, CA - JUNE 13-14, 2018
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.