The development and implementation of a systematic program evaluation framework is critical for improving the quality of the undergraduate medical education. At Yonsei University College of Medicine, we established the following five evaluation domains that encompass various aspects of educational experiences: (1) preclinical curriculum; (2) clinical curriculum; (3) educational environment, resources, and systems; (4) performance of students and graduates and program outcomes; and (5) implementation and outcomes of the curriculum. Specific evaluation indicators were designed within these domains and validated through the Delphi technique, which integrated expert opinions. In total, 98 indicators were identified across five domains. These indicators will function as a comprehensive tool for assessing medical education programs. The proposed evaluation framework addresses both shortand long-term educational changes, facilitating systematic monitoring, continuous quality improvement of curricula, and better outcomes for students. As this framework is grounded in the unique context of the institution, it is appropriate for a comprehensive evaluation of interactions at various educational stages. Furthermore, it may serve as a strategic foundation for identifying areas that require improvement, ensuring that the curriculum aligns with current medical education standards and practices. The framework’s structured approach and continuing evaluation processes may make it possible to obtain essential data for ongoing development, potentially contributing to a robust system for quality improvement in medical education. The findings of this study are expected to serve as a valuable reference for developing similar evaluation frameworks in other medical schools.

Background/Aims: The kidneys and retina are highly vascularized organs that frequently exhibit shared pathologies, with nephropathy often associated with retinopathy. Previous studies have successfully predicted estimated glomerular filtration rates (eGFRs) using fundus photographs. We evaluated the performance of the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formulas in eGFR prediction. Methods: We enrolled patients with fundus photographs and corresponding creatinine measurements taken on the same date. One photograph per eye was randomly selected, resulting in a final dataset of 45,108 patients (88,260 photographs). Data including sex, age, and blood creatinine levels were collected for eGFR calculation using the MDRD and CKD-EPI formulas. EfficientNet B3 models were used to predict each parameter. Results: Deep neural network models accurately predicted age and sex using fundus photographs. Sex was identified as a confounding variable in creatinine prediction. The MDRD formula was more susceptible to this confounding effect than the CKD-EPI formula. Notably, the CKD-EPI formula demonstrated superior performance compared to the MDRD formula (area under the curve 0.864 vs. 0.802). Conclusions Fundus photographs are a valuable tool for screening renal function using deep neural network models, demonstrating the role of noninvasive imaging in medical diagnostics. However, these models are susceptible to the influence of sex, a potential confounding factor. The CKD-EPI formula, less susceptible to sex bias, is recommended to obtain more reliable results.

The development and implementation of a systematic program evaluation framework is critical for improving the quality of the undergraduate medical education. At Yonsei University College of Medicine, we established the following five evaluation domains that encompass various aspects of educational experiences: (1) preclinical curriculum; (2) clinical curriculum; (3) educational environment, resources, and systems; (4) performance of students and graduates and program outcomes; and (5) implementation and outcomes of the curriculum. Specific evaluation indicators were designed within these domains and validated through the Delphi technique, which integrated expert opinions. In total, 98 indicators were identified across five domains. These indicators will function as a comprehensive tool for assessing medical education programs. The proposed evaluation framework addresses both shortand long-term educational changes, facilitating systematic monitoring, continuous quality improvement of curricula, and better outcomes for students. As this framework is grounded in the unique context of the institution, it is appropriate for a comprehensive evaluation of interactions at various educational stages. Furthermore, it may serve as a strategic foundation for identifying areas that require improvement, ensuring that the curriculum aligns with current medical education standards and practices. The framework’s structured approach and continuing evaluation processes may make it possible to obtain essential data for ongoing development, potentially contributing to a robust system for quality improvement in medical education. The findings of this study are expected to serve as a valuable reference for developing similar evaluation frameworks in other medical schools.

Background/Aims: The kidneys and retina are highly vascularized organs that frequently exhibit shared pathologies, with nephropathy often associated with retinopathy. Previous studies have successfully predicted estimated glomerular filtration rates (eGFRs) using fundus photographs. We evaluated the performance of the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formulas in eGFR prediction. Methods: We enrolled patients with fundus photographs and corresponding creatinine measurements taken on the same date. One photograph per eye was randomly selected, resulting in a final dataset of 45,108 patients (88,260 photographs). Data including sex, age, and blood creatinine levels were collected for eGFR calculation using the MDRD and CKD-EPI formulas. EfficientNet B3 models were used to predict each parameter. Results: Deep neural network models accurately predicted age and sex using fundus photographs. Sex was identified as a confounding variable in creatinine prediction. The MDRD formula was more susceptible to this confounding effect than the CKD-EPI formula. Notably, the CKD-EPI formula demonstrated superior performance compared to the MDRD formula (area under the curve 0.864 vs. 0.802). Conclusions Fundus photographs are a valuable tool for screening renal function using deep neural network models, demonstrating the role of noninvasive imaging in medical diagnostics. However, these models are susceptible to the influence of sex, a potential confounding factor. The CKD-EPI formula, less susceptible to sex bias, is recommended to obtain more reliable results.

The development and implementation of a systematic program evaluation framework is critical for improving the quality of the undergraduate medical education. At Yonsei University College of Medicine, we established the following five evaluation domains that encompass various aspects of educational experiences: (1) preclinical curriculum; (2) clinical curriculum; (3) educational environment, resources, and systems; (4) performance of students and graduates and program outcomes; and (5) implementation and outcomes of the curriculum. Specific evaluation indicators were designed within these domains and validated through the Delphi technique, which integrated expert opinions. In total, 98 indicators were identified across five domains. These indicators will function as a comprehensive tool for assessing medical education programs. The proposed evaluation framework addresses both shortand long-term educational changes, facilitating systematic monitoring, continuous quality improvement of curricula, and better outcomes for students. As this framework is grounded in the unique context of the institution, it is appropriate for a comprehensive evaluation of interactions at various educational stages. Furthermore, it may serve as a strategic foundation for identifying areas that require improvement, ensuring that the curriculum aligns with current medical education standards and practices. The framework’s structured approach and continuing evaluation processes may make it possible to obtain essential data for ongoing development, potentially contributing to a robust system for quality improvement in medical education. The findings of this study are expected to serve as a valuable reference for developing similar evaluation frameworks in other medical schools.

Background/Aims: The kidneys and retina are highly vascularized organs that frequently exhibit shared pathologies, with nephropathy often associated with retinopathy. Previous studies have successfully predicted estimated glomerular filtration rates (eGFRs) using fundus photographs. We evaluated the performance of the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formulas in eGFR prediction. Methods: We enrolled patients with fundus photographs and corresponding creatinine measurements taken on the same date. One photograph per eye was randomly selected, resulting in a final dataset of 45,108 patients (88,260 photographs). Data including sex, age, and blood creatinine levels were collected for eGFR calculation using the MDRD and CKD-EPI formulas. EfficientNet B3 models were used to predict each parameter. Results: Deep neural network models accurately predicted age and sex using fundus photographs. Sex was identified as a confounding variable in creatinine prediction. The MDRD formula was more susceptible to this confounding effect than the CKD-EPI formula. Notably, the CKD-EPI formula demonstrated superior performance compared to the MDRD formula (area under the curve 0.864 vs. 0.802). Conclusions Fundus photographs are a valuable tool for screening renal function using deep neural network models, demonstrating the role of noninvasive imaging in medical diagnostics. However, these models are susceptible to the influence of sex, a potential confounding factor. The CKD-EPI formula, less susceptible to sex bias, is recommended to obtain more reliable results.

Background: With growing elderly populations, management of patients with acute stroke is increasingly important. In South Korea, the Acute Stroke Quality Assessment Program (ASQAP) has contributed to improving the quality of stroke care and practice behavior in healthcare institutions. While the mortality of hemorrhagic stroke remains high, there are only a few assessment indices associated with hemorrhagic stroke. Considering the need to develop assessment indices to improve the actual quality of care in the field of acute stroke treatment, this study aims to investigate the current status of human resources and practices related to the treatment of patients with acute stroke through a nationwide survey. Methods: For the healthcare institutions included in the Ninth ASQAP of the Health Insurance Review and Assessment Service (HIRA), data from January 2022 to December 2022 were collected through a survey on the current status and practice of healthcare providers related to the treatment of patients with acute stroke. The questionnaire consisted of 19 items, including six items on healthcare providers involved in stroke care and 10 items on the care of patients with acute stroke. Results: In the treatment of patients with hemorrhagic stroke among patients with acute stroke, neurosurgeons were the most common providers. The contribution of neurosurgeons in the treatment of ischemic stroke has also been found to be equivalent to that of neurologists. However, a number of institutions were found to be devoid of healthcare providers who perform definitive treatments, such as intra-arterial thrombectomy for patients with ischemic stroke or cerebral aneurysm clipping for subarachnoid hemorrhage. The intensity of the workload of healthcare providers involved in the care of patients with acute stroke, especially those involved in definitive treatment, was also found to be quite high. Conclusion Currently, there are almost no assessment indices specific to hemorrhagic stroke in the ASQAP for acute stroke. Furthermore, it does not reflect the reality of the healthcare providers and practices that provide definitive treatment for acute stroke. The findings of this study suggest the need for the development of appropriate assessment indices that reflect the realities of acute stroke care.

Background: With growing elderly populations, management of patients with acute stroke is increasingly important. In South Korea, the Acute Stroke Quality Assessment Program (ASQAP) has contributed to improving the quality of stroke care and practice behavior in healthcare institutions. While the mortality of hemorrhagic stroke remains high, there are only a few assessment indices associated with hemorrhagic stroke. Considering the need to develop assessment indices to improve the actual quality of care in the field of acute stroke treatment, this study aims to investigate the current status of human resources and practices related to the treatment of patients with acute stroke through a nationwide survey. Methods: For the healthcare institutions included in the Ninth ASQAP of the Health Insurance Review and Assessment Service (HIRA), data from January 2022 to December 2022 were collected through a survey on the current status and practice of healthcare providers related to the treatment of patients with acute stroke. The questionnaire consisted of 19 items, including six items on healthcare providers involved in stroke care and 10 items on the care of patients with acute stroke. Results: In the treatment of patients with hemorrhagic stroke among patients with acute stroke, neurosurgeons were the most common providers. The contribution of neurosurgeons in the treatment of ischemic stroke has also been found to be equivalent to that of neurologists. However, a number of institutions were found to be devoid of healthcare providers who perform definitive treatments, such as intra-arterial thrombectomy for patients with ischemic stroke or cerebral aneurysm clipping for subarachnoid hemorrhage. The intensity of the workload of healthcare providers involved in the care of patients with acute stroke, especially those involved in definitive treatment, was also found to be quite high. Conclusion Currently, there are almost no assessment indices specific to hemorrhagic stroke in the ASQAP for acute stroke. Furthermore, it does not reflect the reality of the healthcare providers and practices that provide definitive treatment for acute stroke. The findings of this study suggest the need for the development of appropriate assessment indices that reflect the realities of acute stroke care.

The development and implementation of a systematic program evaluation framework is critical for improving the quality of the undergraduate medical education. At Yonsei University College of Medicine, we established the following five evaluation domains that encompass various aspects of educational experiences: (1) preclinical curriculum; (2) clinical curriculum; (3) educational environment, resources, and systems; (4) performance of students and graduates and program outcomes; and (5) implementation and outcomes of the curriculum. Specific evaluation indicators were designed within these domains and validated through the Delphi technique, which integrated expert opinions. In total, 98 indicators were identified across five domains. These indicators will function as a comprehensive tool for assessing medical education programs. The proposed evaluation framework addresses both shortand long-term educational changes, facilitating systematic monitoring, continuous quality improvement of curricula, and better outcomes for students. As this framework is grounded in the unique context of the institution, it is appropriate for a comprehensive evaluation of interactions at various educational stages. Furthermore, it may serve as a strategic foundation for identifying areas that require improvement, ensuring that the curriculum aligns with current medical education standards and practices. The framework’s structured approach and continuing evaluation processes may make it possible to obtain essential data for ongoing development, potentially contributing to a robust system for quality improvement in medical education. The findings of this study are expected to serve as a valuable reference for developing similar evaluation frameworks in other medical schools.