FUNDAMENTALS OF DATA PREPARATION IN HEALTHCARE ANALYTICS
April Chester, MSA, MSW, Senior Analytics Methodologist, DUKE HEALTH TECHNOLOGY SOLUTIONS
While advanced analytics holds much promise for revolutionizing how the healthcare industry survives new reimbursement models, the pressure for quick results can tempt analysts to rush through or even skip critical data due diligence tasks.
Errors can be introduced in all parts of the data lifecycle, from user mis-entry of data on the front-end, to a system data load failure on the back-end, to incorrectly applied dataset filters during the analysis itself. Insufficient time devoted to the due diligence process risks making misinformed business decisions.
This presentation will give several examples of the data complexities and analytics challenges encountered during a lab test utilization analysis conducted at Duke University Health System, and concrete examples about how overlooking certain data issues would have led to drastically erroneous conclusions and missed opportunities for improving the process of lab ordering by providers.