Po-Hao Chen1, Yin Jie Chen2, Tessa S Cook2. 1. Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104. Electronic address: po-hao.chen@uphs.upenn.edu. 2. Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104.
Abstract
RATIONALE AND OBJECTIVES: On-service clinical learning is a mainstay of radiology education. However, an accurate and timely case log is difficult to keep, especially in the absence of software tools tailored to resident education. Furthermore, volume-related feedback from the residency program sometimes occurs months after a rotation ends, limiting the opportunity for meaningful intervention. MATERIALS AND METHODS: We surveyed the residents of a single academic institution to evaluate the current state of and the existing need for tracking interpretation volume. Using the results of the survey, we created an open-source automated case log software. Finally, we evaluated the effect of the software tool on the residency in a 1-month, postimplementation survey. RESULTS: Before implementation of the system, 89% of respondents stated that volume is an important component of training, but 71% stated that volume data was inconvenient to obtain. Although the residency program provides semiannual reviews, 90% preferred reviewing interpretation volumes at least once monthly. After implementation, 95% of the respondents stated that the software is convenient to access, 75% found it useful, and 88% stated they would use the software at least once a month. The included analytics module, which benchmarks the user using historical aggregate average volumes, is the most often used feature of the software. Server log demonstrates that, on average, residents use the system approximately twice a week. CONCLUSIONS: An automated case log software system may fulfill a previously unmet need in diagnostic radiology training, making accurate and timely review of volume-related performance analytics a convenient process.
RATIONALE AND OBJECTIVES: On-service clinical learning is a mainstay of radiology education. However, an accurate and timely case log is difficult to keep, especially in the absence of software tools tailored to resident education. Furthermore, volume-related feedback from the residency program sometimes occurs months after a rotation ends, limiting the opportunity for meaningful intervention. MATERIALS AND METHODS: We surveyed the residents of a single academic institution to evaluate the current state of and the existing need for tracking interpretation volume. Using the results of the survey, we created an open-source automated case log software. Finally, we evaluated the effect of the software tool on the residency in a 1-month, postimplementation survey. RESULTS: Before implementation of the system, 89% of respondents stated that volume is an important component of training, but 71% stated that volume data was inconvenient to obtain. Although the residency program provides semiannual reviews, 90% preferred reviewing interpretation volumes at least once monthly. After implementation, 95% of the respondents stated that the software is convenient to access, 75% found it useful, and 88% stated they would use the software at least once a month. The included analytics module, which benchmarks the user using historical aggregate average volumes, is the most often used feature of the software. Server log demonstrates that, on average, residents use the system approximately twice a week. CONCLUSIONS: An automated case log software system may fulfill a previously unmet need in diagnostic radiology training, making accurate and timely review of volume-related performance analytics a convenient process.
Authors: Po-Hao Chen; Thomas W Loehfelm; Aaron P Kamer; Andrew B Lemmon; Tessa S Cook; Marc D Kohli Journal: J Digit Imaging Date: 2016-12 Impact factor: 4.056
Authors: J H Masur; J E Schmitt; D Lalevic; T S Cook; L J Bagley; S Mohan; A P Nayate Journal: AJNR Am J Neuroradiol Date: 2021-03-04 Impact factor: 3.825