Extracting data from EHRs and health IT systems can be challenging; unfortunately, without a coordinated Data Quality Plan to clean and validate data, a large proportion of electronic health data do not reach a minimum level of quality for most use cases.
A clear plan for data extraction, mapping, analytics, and validation can help immensely to create better data quality, particularly if applied consistently across use cases and iteratively over multiple data extracts.
Here we present a few strategies and tools for evaluating data quality and hear from a partner who routinely engages in data quality practices with FQHCs.
