Based on coding data for more than 90,000 acute stroke admissions between 2002 and 2014, there was a gap in the accuracy of the administrative data recorded during the weekend and during the weekdays.

Use of billing codes in big data sets to find diagnoses can result in up to two-thirds of cases being mistakenly identified, new UCLA-led research finds.