Only 30% of the analytic results in healthcare organizations are accurate.
It was one of the facts that we learned on the Health Catalyst webinar this morning and based on my own experience seems about right.
Part of the issue is the old adage “Garbage In/Garbage Out” and the other part is lack of consistency in defining and pulling the data elements.
The new Health Catalyst population stratification module standardizing the datasets makes it easy enough for business people and maybe even some clinical people to pull their own data. It’s a huge plus especially for healthcare organizations conducting research.
Garbage in/Garbage out needs to be addressed with better user interface design, refined data capture requirements and compliance with medical record documentation. There is just no way around it.
Everyone needs quality data to make sounds decisions whether clinical or business. When the data is bad, we end up wasting resources solving problems that don’t exist and overlooking the real issues.