Background Diagnostic errors are the leading basis for malpractice claims in primary care,
yet these errors are underidentified and understudied. Computerized methods used to
screen for other types of errors (eg, medication related) have not been applied to diagnostic
errors. Our objectives were to assess the feasibility of computerized screening to identify
diagnostic errors in primary care and to categorize diagnostic breakdowns using a recently
published taxonomy. Methods We used an algorithm to screen the electronic medical …