Use of dual-processing has been widely touted as a strategy to reduce diagnostic error in clinical medicine. However, this strategy has not been tested among medical trainees with complex diagnostic problems. We sought to determine whether dual-processing instruction could reduce diagnostic error across a spectrum of experience with trainees undertaking cardiac physical exam. Three experiments ...

the arthroscopic study of knee joint is of outstanding interest in assessment of knee complaints. the present article describes the results of arthroscopic examination of 100 patients (mean age 29.4 years 82% male) evaluated from 1996 to 1997 in imam khomeini hospital of tehran. sport injury was the most prevalent cause of referral (40%). the 2 most frequent complaints were knee pain (94%) and ...

Objective: Cone beam computed tomography (CBCT) is applied for the imaging of the maxillofacial and dental structures, particularly for surgical treatments and dental implants. The aim of this study was to assess the effect of slice thickness on the accuracy of CBCT linear measurements. Methods: In this diagnostic accuracy study, forty-two titanium pins with the same dimensions were inserted...

CASES OF DELAYED, MISSED, AND INCORRECT DIAGnosis are common, with an incidence in the range of 10% to 20%. Some errors in diagnosis stem from mistakes in the interpretation of diagnostic tests. For example, pathology, radiology, and the clinical laboratory each have error rates of 2% to 5%. Superimposed on these testing errors are the ubiquitous system-related errors encountered in every healt...

BACKGROUND Diagnostic error is an important error type since diagnostic adverse events are regularly judged as being preventable and the consequences are considered to be severe. Existing research often focuses on either diagnostic adverse events or on the errors in diagnostic reasoning. Whether and when an incorrect diagnostic process results in adverse outcomes has not been studied extensivel...

We tested whether the unequal-variance signal-detection (UVSD) and dual-process signaldetection (DPSD) models of recognition memory mimic the behavior of each other as applied to individual data. Replicating previous results, there was no mimicry for an analysis that fit each individual, summed the goodness-of-fit values over individuals, and compared the two sums (i.e., a single model selectio...