Quality assurance of clinical data: diagnostic standardization.

Diagnostic standardization requires substantial effort, including detailed specification of procedures in a written protocol and training of examiners in such procedures. Success is neither automatic nor assured. It is essential to monitor performance through replicate examinations and/or computation of examiner variance. When examiner variance exceeds permissible limits, consideration should be given to discarding the data.