Rationale And Objectives: The Electronic Resident Application Service (ERAS) publishes monthly statistics before the match and the National Resident Matching Program publishes the match outcomes. We sought to determine whether early ERAS data influences applicant behavior and correlates with match outcomes.
Materials And Methods: We searched the 2007-2017 ERAS archives for the applicant pool size (PS), the average number of applications per program (AP), and the average number of applications per applicant (AA) in November, before radiology match, and the 2007-2017 National Resident Matching Program archives for the average number of ranked applicants needed to fill each position (ANRA) and the number of unfilled positions (UP) in radiology match.
Purpose: The purpose of the study was to determine if increasing radiologist reading speed results in more misses and interpretation errors.
Methods: We selected a sample set of 53 abdomen-pelvis CT scans of variable complexity performed at a teaching hospital during the study period. We classified the CT scans into 4 categories based on their level of difficulty, with level 4 representing the most-complex cases.
Objective: At academic institutions, overnight emergency radiology examinations are interpreted by the on-call radiology resident and are reviewed by an attending radiologist in the morning. The objective of our study was to determine the rate of discrepancies between the two interpretations and the possible effect, if any, on patient care.
Materials And Methods: The preliminary reports for 11,908 emergency diagnostic imaging examinations interpreted after hours by residents over a 3-year period (January 2002-January 2005) were reviewed retrospectively for any discrepancy with the attending radiologist's final interpretation.
Medication errors contribute to in-hospital morbidity and mortality. Teaching hospitals and the surgical residency training programs they support should take proactive steps to reduce error frequency. In order to accomplish meaningful error reduction, we must first define the scope and nature of the problem.
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