Business Rules to Improve Secondary Data Use of Electronic Healthcare Systems

The 'fit for purpose' paradigm used for data quality assessment in electronic healthcare record (EHR) systems is not so fit when assessed in the light of secondary data use. An analysis of the difficulties encountered in trying to use existing EHR data for cohort identification for prospective clinical trials and retrograde data analytics, revealed the root causes to fall in three categories: (1) issues in workflow and data registration, (2) preventable inadequacies in software configuration and personalization and (3) software development issues on the side of the vendor. By reviewing secondary data use requirements and formulating value adding business rules, development and data collection practices can be steered towards greater value in secondary data consumption.