Original articleUse of Computer Databases to Reduce Radiograph Reading Errors
Introduction
Errors in medical diagnosis and treatment are a serious problem that affects the quality of health care, with potentially significant impacts on patients’ well-being. Reducing errors should improve patient care and may reduce costs.
Espinosa and Nolan [1] reported that the rates of disagreement between emergency physicians and radiologists in the interpretation of radiographs range from 8% to 11%. Errors in interpreting radiographs can also have significant clinical and legal consequences. There are many reasons to place additional emphasis on training and on improving diagnostic quality in pediatric-related medical cases. Constant changes in anatomy and physiology during growth in children complicate the interpretation of pediatric radiologic images for both trainees and experienced pediatric radiologists. It is particularly important that university hospitals that educate trainees in different disciplines look for ways to detect and reduce commonly made medical errors.
Halsted et al [2] analyzed a total of 23,273 dictations of emergency radiographs for corrections after staff interpretation and for the types and incidence of missed abnormalities by radiology trainees. They determined that trainees were 9 times more likely to miss pathologic conditions than to wrongly identify one that did not exist and that most errors (69%) involved the diagnosis of fractures or dislocations.
To facilitate the training process and to be able to update the teaching database with new cases, many computer-based methods of collecting reference cases, including digital teaching files, have been developed [3, 4, 5, 6]. One such method developed by Weinberger et al [6] called MyPACS.net allows physicians to use a web-based service to create digital teaching files containing images and descriptive information that can then be accessed by authorized users. It is important to note that this teaching file is distinct from teaching files created on clinical picture archiving and communication systems (PACS) in that this teaching file is independent from a PACS. Halsted et al [7] developed a teaching tool based on PACS for use by radiology trainees in interpreting plain films from a pediatric emergency department.
The present research supplements the database developed by Halsted et al [7] and leverages the digital reference system they developed [3, 8] to investigate the most effective ways to make available a digital database for routine use by trainees and staff members, with a goal of improving training resources and reducing diagnostic errors in daily clinical use.
Section snippets
Materials and methods
The database used for this research included pediatric radiologic images that have been clinically reviewed by attending physicians, fellows, and residents at the Cincinnati Children’s Hospital Medical Center. Representative digital cases were selected from January 2000 through December 2004. Only images of 2 preselected categories were collected. One set of data, the reference set, included examples of normal radiologic pediatric images grouped by age. These were limited to the following
Results
The survey determined that most participants learned about the collection either through e-mail (48%) or through word of mouth from their colleagues (39%). A small percentage (13%) of users learned about the case collection through a formal user orientation.
The case collection was used over 5 months to varying degrees by the 3 different groups of respondents. The attending radiologists, as a group, accessed the collection the most, with 92 total accesses, followed by fellows with 36 uses and
Discussion
The normal case collection proved to be useful for all 3 groups of users: residents, fellows, and attending radiologists. Over the trial period, the collection was accessed more than 140 times. Most use involved imaging of the brain, including computed tomographic and MR images that were used for cases such as intracranial hemorrhage, cerebral edema, and abnormal myelination. Several factors could explain the particular popularity of the normal brain imaging cases: brain pathologies are
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