Transfer Patient Imaging: A Novel Peer Feedback Program Beyond Institutional Boundaries.

BACKGROUND: At our level 1 trauma center, we overread cross-sectional scans on all transferred patients, initially reported by community radiologists (CR). We designed a unique peer feedback learning model to address discrepancies encountered with outside overreads with the goal of practice improvement on the part of the CRs. Although there is ample literature on internal peer review and peer learning programs, no publications address errors committed by peers outside institutional boundaries. In this paper we describe our model and report a survey analyzing the perception of the program by the CRs. MATERIALS AND METHODS: Outside CT and MR exams and reports of patients transferred to our level 1 trauma center were imported into PACS and prospectively overread by specialist trauma radiologists. Our report contained a summary of the outside findings as well as our findings. In the case of a significant discrepancy, a paper copy of our final report was sent by US mail to the originating CR. When the program had been active for 18 months, an invitation to participate in a survey was sent to all radiologists who had been sent reports. RESULTS: Eight thousand three hundred forty patients were transferred, of which 4331 (52%) had 9175 exams with outside reports (8666 CT scans and 509 MRI). One hundred seventy six final report letters containing significant discrepancies were sent to 139 individual radiologists. These 139 radiologists also later received our survey letter. Thirty-eight (27%) responses were received. Thirty-two respondents (84%) recalled receiving the report and reviewed the exam in question. Twenty-eight of them (85%) agreed with the overread and 30 (88%) believed that our feedback program should be continued. CONCLUSION: We have designed a novel peer feedback learning model to address discrepancies in outside overreads which is administratively simple and well received by the CRs getting feedback. Those CR who responded to the survey rated the experience favorably and wanted the practice continued, although the overall response rate did not allow statistical analysis. Also, institutions trying to design similar or new peer learning models can benefit from our experience.

Transfer patient imaging: discordances between community and subspecialist emergency radiologists.

PURPOSE: To determine the rate and nature of significant discordances between community and subspecialist emergency radiologists' interpretations of cross-sectional exams performed on patients transferred to our trauma center. METHODS: Outside hospital CT and MRI exams performed on transfer trauma patients are routinely overread by subspecialist emergency radiologists, specifying either concordance or discordance with the interpretation by the community radiologist. We evaluated the discordant reports for clinical significance, defined as an additional finding or difference in interpretation which was likely to affect patient management. The total rate of significant discordances, rate by modality, rate by body region, and rate per patient transferred were calculated. The most common errors were identified, and the distribution of errors among individual community radiologists was examined. RESULTS: 9175 exams were reviewed. Significant discordances were encountered in 4.1% of exams: 3.9% for CT and 6.7% for MRI; 5.1% for head and neck exams, 3.3% for spine, 3.8% for torso, and 2.9% for extremities. The discordance rate per patient transferred was 7.7%. The most common discordances involved missing injuries to the cranio-cervical junction, missing or misinterpreting vascular injuries in the neck, and incompletely characterizing facial fractures. Discordances were evenly spread among 220 community radiologists. CONCLUSION: There is frequent discordance between community and emergency radiologists' interpretations of CT and MRI exams, leading to a change in transferred patient management. Thus, trauma center radiologists provide added value overreading these patients' exams. It is difficult to predict which patients or exams will contain discordances, justifying routine overreading of all such exams.

Second Life™: a novel simulation platform for the training of surgical residents.

A virtual world is a three-dimensional, computer-generated, simulated environment. Human users create "avatars," or virtual projections of themselves, in order to explore this virtual environment and interact with the objects and structures inside it. Second Life™ is one such virtual world accessible freely via the internet, which has been used to construct a virtual hospital complete with reception areas, changing rooms, offices, and hospital wards. Early pioneering studies have demonstrated the advantages of using virtual worlds in the education of surgical residents in a number of ways, from introductions to the clinical environment, initial patient assessment, and managing adverse outcomes, to gaining informed consent, hospital-wide training, and medical device development.