The students at Mayo Clinic Alix School of Medicine (MCASOM) wrote a call to action to medical school leadership in June 2020. The students requested help in navigating socio-political barriers that affected one another and contributed to healthcare inequities and mistrust. Using the Association of American Medical Colleges (AAMC) tool to assess cultural competence training, our team evaluated the baseline 2017-2018 MCASOM curriculum. There were 254 learning objectives, of which 43 (17%) were related to inclusion, diversity, antiracism, and equity (I-DARE). Mirroring the concerns of the students, the findings identified minimal content about antiracism and inclusion. By applying DMAIC principles for quality and process improvement, we aimed to increase the number of taught learning objectives about I-DARE content for the first-year and second-year medical students by 100%, from 43 to 86 objectives, without adversely affecting student satisfaction and true attendance. To address the underlying causes, we launched a virtual, multisite I-DARE medical school course and doubled the number of I-DARE-taught learning objectives from 43 to 107 (149%), compared with the baseline. The program evaluation review revealed that the students were self-reflective and provided a spectrum of experiences regarding the I-DARE course.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/JHQ.0000000000000373 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Influence of lung function on macro- and micro-structural brain changes in mid- and late-life.
Int J Surg
January 2025
Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
Introduction: Lung function has been associated with cognitive decline and dementia, but the extent to which lung function impacts brain structural changes remains unclear. We aimed to investigate the association of lung function with structural macro- and micro-brain changes across mid- and late-life.
Methods: The study included a total of 37 164 neurologic disorder-free participants aged 40-70 years from the UK Biobank, who underwent brain MRI scans 9 years after baseline.
Clinical value of aortic arch morphology in transfemoral TAVR: artificial intelligence evaluation.
Int J Surg
January 2025
Department of Cardiovascular Surgery, Xijing Hospital, Xi'an, Shaanxi, China.
Background: The impact of aortic arch (AA) morphology on the management of the procedural details and the clinical outcomes of the transfemoral artery (TF)-transcatheter aortic valve replacement (TAVR) has not been evaluated. The goal of this study was to evaluate the AA morphology of patients who had TF-TAVR using an artificial intelligence algorithm and then to evaluate its predictive value for clinical outcomes.
Materials And Methods: A total of 1480 consecutive patients undergoing TF-TAVR using a new-generation transcatheter heart valve at 12 institutes were included in this retrospective study.
Multimodal large language models address clinical queries in laryngeal cancer surgery: a comparative evaluation of image interpretation across different models.
Int J Surg
January 2025
Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
Background And Objectives: Recent advances in multimodal large language models (MLLMs) have shown promise in medical image interpretation, yet their utility in surgical contexts remains unexplored. This study evaluates six MLLMs' performance in interpreting diverse imaging modalities for laryngeal cancer surgery.
Methods: We analyzed 169 images (X-rays, CT scans, laryngoscopy, and pathology findings) from 50 patients using six state-of-the-art MLLMs.
Multimodal assessment predicts cognitive impairment after aneurysmal subarachnoid hemorrhage: a prospective cohort study.
Int J Surg
January 2025
Department of neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China.
Background: Risk factors and mechanisms of cognitive impairment (CI) after aneurysmal subarachnoid hemorrhage (aSAH) are unclear. This study used a neuropsychological battery, MRI, ERP and CSF and plasma biomarkers to predict long-term cognitive impairment after aSAH.
Materials And Methods: 214 patients hospitalized with aSAH (n = 125) or unruptured intracranial aneurysms (UIA) (n = 89) were included in this prospective cohort study.
Developing predictive nomogram models using quantitative electroencephalography for brain function in type a aortic dissection: a prospective observational study.
Int J Surg
January 2025
Department of Cardio-Thoracic Surgery, Nanjing Drum Tower Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Nanjing, Jiangsu, China.
Background: Type A aortic dissection (TAAD) remains a significant challenge in cardiac surgery, presenting high risks of adverse outcomes such as permanent neurological dysfunction and mortality despite advances in medical technology and surgical techniques. This study investigates the use of quantitative electroencephalography (QEEG) to monitor and predict neurological outcomes during the perioperative period in TAAD patients.
Methods: This prospective observational study was conducted at the hospital, involving patients undergoing TAAD surgery from February 2022 to January 2023.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!