United States Medical Licensing Examination Research Articles

Additional Considerations for US Residency Selection After Pass/Fail USMLE Step 1. Comment on "The US Residency Selection Process After the United States Medical Licensing Examination Step 1 Pass/Fail Change: Overview for Applicants and Educators".

Additional Considerations for US Residency Selection After Pass/Fail USMLE Step 1. Comment on "The US Residency Selection Process After the United States Medical Licensing Examination Step 1 Pass/Fail Change: Overview for Applicants and Educators".

The Importance of Research Experience With a Scoreless Step 1: A Student Survey at a Community-Based Medical School.

As of January 26, 2022, the United States Medical Licensing Examination (USLME) step 1 exam went from a scored test to pass-fail step 1 (PFS1). The authors were interested in surveying medical students at a community-based medical school to observe their perceptions of the importance of student research given this recent change. A Qualtrics survey was disseminated to medical students (years 1-4) via school emails. Data were analyzed using the Mann-Whitney test to assess Likert scale scores, and narrative comments were grouped as qualitative feedback. Survey dissemination and analysis of data were both conducted at a large community-based medical school. The survey sampled 104 students categorized into pre-clerkship (PC) and clerkship (CL) years, with a response rate of 33%. A contradiction was found, as indicated by the higher number (p = 0.047) of clerkship students interested in Primary Care/Family medicine residency compared to pre-clerkship students at 41% and 59%, respectively. Whereas participants who indicated they are interested in pursuing a competitive specialty for residency were 51% of pre-clerkship students over 41% of clerkship students (p = 0.047).Additionally, given the assessment change to pass/fail, students did in fact believe that residencies would now view research as a higher assessed component than before (79% pre-clerkship and 72% clerkship). However, a minority of students said that they increased their research efforts (41% and 47%). Most students supported the research opportunity improvements proposed in our survey. Efforts to make the step 1 exam pass/fail may have alleviated some stress related to performance but may have increased the perception of the importance of other components in a student's residency application. Our survey highlights how medical students at a community-based medical school perceive this change and how it has affected their research efforts.

Evaluating the Impact of a Medical School Student-Run Research Organization on Scholarly Activity.

Introduction The United States Medical Licensing Examination Step 1 change to Pass/Fail scoring has motivated medical students to pursue more research opportunities. To support students, a student-led organization was created at an allopathic medical school, offering initiatives such as workshops, mentorship, and research projects. Here, we evaluate its impact on medical student research. Methods An observational survey study was conducted to assess students' research involvement and productivity and their sense of support, confidence, and comfort in pursuing research at an institution during the first two years of medical school. These variables were compared between three contiguous classes of students and between club members and non-members. Analyses included t-tests, Chi-square tests, and ANOVA, among others. Results Findings revealed that organization membership was associated with an increased number of research projects. Club members (M= 4.49) reported a significantly greater number of projects compared to non-members (M= 4.49) (p= 0.002). Students who had access to the organization during their preclinical years (M= 4.38) reported significantly more projects compared to students whose preclinical years were before the organization's conception (M= 2.21) (p= 0.041). However, research productivity and feelings of support and confidence in research did not differ by class or club membership. Conclusions Club members engaged in a greater number of research projects as compared to non-members and students who had access to the organization during their preclinical years. The implementation of similar organizations at every medical school can allow more students to engage in scholarly work.

SOARinG to New Heights Through a Structured Medical Student Research Program.

Since the US Medical Licensing Examination (USMLE) Step 1 became Pass/Fall in 2022, medical students competing for residency spots must distinguish themselves with alternative criteria. Research experiences and output offer valuable skill development and objective metrics to support competitive residency applications. We describe the methodological development of a structured program to support, enhance, and track medical student research efforts at the University of South Carolina School of Medicine Greenville, explain the implementation of the program, and summarize initial program outcomes. The Student Opportunities for Academic Achievement Through Research in Greenville (SOARinG) Program was established to serve as a centralized hub for rising second year medical student research. The program matched medical students with mentored research projects scheduled during the summer following first-year coursework. The program included a required weekly seminar series on research basics and current biomedical literature. SOARinG culminated with a student research symposium for which students submitted abstracts and presented a poster or a talk. Quantitative and qualitative program outcomes of student and mentor satisfaction with the program were measured through surveys. The program was successfully implemented in summers 2021 and 2022. Most students (80-95%) in each class engaged in mentored summer research projects. Students reported overall satisfaction with research projects and mentor support. Overall, 69% of students rated their overall research experience in the program as extremely good or very good. Each student submitted an abstract and presented at the program's symposium or alternate research venue. Overall, 97% of research mentors reported that students were adequately prepared for summer research and suggested that students would benefit from additional skills-specific research training. The SOARinG Program provided a formalized process for tracking and showcasing medical student research and allowed for increased student participation in research. Additionally, each participating student produced objective research output, thus enhancing future residency applications.

Applying a validated scoring rubric to pre-clerkship medical students’ standardized patient notes: a pilot study

BackgroundWith the elimination in 2021 of the United States Medical Licensing Examination Step 2 Clinical Skills test, it is incumbent upon U.S. medical schools to develop local validated assessments of clinical reasoning. While much attention has been paid to summative exams for graduating students, formative exams for pre-clerkship students have not been well studied.MethodsWe applied the University of Illinois at Chicago College of Medicine (UIC-COM) Patient Note (PN) Scoring Rubric to templated PNs written by 103 pre-clerkship students for two cases in an objective structured clinical examination (OSCE) at the Yale School of Medicine. The rubric consists of four section scores (Documentation, Differential Diagnosis, Justification, and Workup, each scored 1 to 4) and a composite score (scaled 23 to 100). We calculated item discrimination for each section score and Cronbach’s alpha for each case. We surveyed students about their experience writing the templated PN.ResultsMean Documentation, Differential Diagnosis, Justification, Workup, and composite scores for case A were 2.16, 1.80, 1.65, 2.29, and 47.67, respectively. For case B, the scores were 2.13, 1.21, 1.60, 1.67, and 40.54, respectively. Item discrimination ranged from 0.41 to 0.80. Cronbach’s alpha for cases A and B was 0.48 and 0.25, respectively. A majority of the students felt that the exercise was useful and appropriate to their level of training.ConclusionsDespite performing poorly, pre-clerkship students found the note-writing task beneficial. Reliability of the scoring rubric was suboptimal, and modifications are needed to make this exercise a suitable measure of clinical reasoning.

The Pass/Fail Effect: A Longitudinal Study of United States Medical Licensing Examination (USMLE) Step 1 Performance Over a Decade.

Objectives This study aimed to analyze the impact of theUnited States Medical Licensing Examination (USMLE) Step 1 transition to a pass/fail scoring system in 2022 on the performance of first-time test takers in three distinct groups: Doctor of Osteopathy (DO) and Doctor of Medicine (MD) examinees from US/Canadian schoolsand examinees from non-US/Canadian schools. The analysis spans a decade-long period from 2012 to 2022, offering insights into the implications of this pivotal change in medical education. Methods We analyzed the performance of first-time USMLE Step 1 examinees from US/Canadian MD and DO programsand non-US/Canadian schools from 2012 to 2022, including the transition year to a pass/fail scoring system. Data were obtained from USMLE performance data reports and organized into annual contingency tables. Descriptive statistics and comparative analysis were used to identify trends and differences in performance across the groups. Data visualization techniques were employed to illustrate these findings, and the results were contextualized within the broader changes in medical education. Results In 2021, first-time takers from US/Canadian MD and DO Degree programs had passrates of 96% and 94%, respectively, while non-US/Canadian schools had a pass rate of 82%. However, in 2022, these rates dropped to 93%, 89%, and 74%, respectively. The most significant relative decline was observed among non-US/Canadian Schools' first-time takers, with an 8% decrease. Repeaters consistently had lower pass rates across all groups. Conclusion The study reveals a notable decline in pass rates following the transition to pass/fail scoring, although this is based on just one year of data. This underscores the importance of students not rushing into the exam and dedicating sufficient time for preparation. The potential impact of this research could be transformative for medical education, but more years of data post-transition will be needed to confirm these initial findings. These findings serve as a reminder that the change in scoring does not diminish the rigor of the exam, prompting students to approach their studies with diligence and patienceand potentially paving the way for systemic improvements in medical education and healthcare delivery worldwide.

Artificial intelligence in orthopaedics: can Chat Generative Pre-trained Transformer (ChatGPT) pass Section 1 of the Fellowship of the Royal College of Surgeons (Trauma & Orthopaedics) examination?

Chat Generative Pre-trained Transformer (ChatGPT) is a large language artificial intelligence (AI) model which generates contextually relevant text in response to questioning. After ChatGPT successfully passed the United States Medical Licensing Examinations, proponents have argued it should play an increasing role in medical service provision and education. AI in healthcare remains in its infancy, and the reliability of AI systems must be scrutinized. This study assessed whether ChatGPT could pass Section 1 of the Fellowship of the Royal College of Surgeons (FRCS) examination in Trauma and Orthopaedic Surgery. The UK and Ireland In-Training Examination (UKITE) was used as a surrogate for the FRCS. Papers 1 and 2 of UKITE 2022 were directly inputted into ChatGPT. All questions were in a single-best-answer format without wording alterations. Imaging was trialled to ensure ChatGPT utilized this information. ChatGPT scored 35.8%: 30% lower than the FRCS pass rate and 8.2% lower than the mean score achieved by human candidates of all training levels. Subspecialty analysis demonstrated ChatGPT scored highest in basic science (53.3%) and lowest in trauma (0%). In 87 questions answered incorrectly, ChatGPT only stated it did not know the answer once and gave incorrect explanatory answers for the remaining questions. ChatGPT is currently unable to exert the higher-order judgement and multilogical thinking required to pass the FRCS examination. Further, the current model fails to recognize its own limitations. ChatGPT's deficiencies should be publicized equally as much as its successes to ensure clinicians remain aware of its fallibility.

USMLE Step 2 CK Scores and Radiology Residency Applications: Does it Affect Diversity in Selection of Trainees?

As residency programs in diagnostic radiology aspire to broaden trainee diversity, reliance on certain criteria may affect the selection of candidates from underrepresented groups. With the conversion of reporting of the United States Medical Licensing Examination (USMLE) Step 1 scores to pass/fail, programs may rely more on numerical USMLE Step 2 Clinical Knowledge (CK) scores. The purpose of our investigation is to assess the effects of Step 2 CK scores on the selection of underrepresented minority (URM) and female candidates. Applications from United States senior allopathic medical students to a radiology residency program from the 2021-2023 National Residency Matching Program cycles were analyzed. Subjects were classified as male or female and URM or non-URM by self-identification. Step 2 CK scores were compared and the use of cutoff scores was examined for disparate effects. 1017 subjects fulfilled the entry criteria. There were 721 males and 296 females, with 164 URM and 853 non-URM candidates. Comparing males to females, there was no significant difference in the mean score (p=0.21) and no disparate effects of cutoff scores. There was a significant difference between the mean score of URM versus non-URM candidates of eight points (p<0.00011). The use of cutoffs showed a disparate effect on URM candidates with a cutoff score of 250 (average score for 2022 matched applicants) excluding 71% of URM candidates while excluding only 46% of non-URM candidates. Reliance on USMLE Step 2 CK scores to screen applications for radiology residency can disadvantage URM candidates. Females are not adversely affected.

Assessing Gender Differences in Technical Skills and Confidence in Orthopaedic Surgery Residency Applicants.

Variations in confidence for procedural skills have been demonstrated when comparing male and female medical students in surgical training. This study investigates whether differences in technical skill and self-reported confidence exist between male and female medical students applying to orthopaedic residency. All medical students (2017 to 2020) invited to interview at a single orthopaedic residency program were prospectively evaluated on their technical skills and self-reported confidence. Objective evaluation of technical skill included scores for a suturing task as evaluated by faculty graders. Self-reported confidence in technical skills was assessed before and after completing the assigned task. Scores for male and female students were compared by age, self-identified race/ethnicity, number of publications at the time of application, athletic background, and US Medical Licensing Examination Step 1 score. Two hundred sixteen medical students were interviewed, of which 73% were male (n = 158). No gender differences were observed in suture task technical skill scores or mean difference in simultaneous visual task scores. The mean change from pre-task and post-task self-reported confidence scores was similar between sexes. Although female students trended toward lower post-task self-reported confidence scores compared with male students, this did not achieve statistical significance. Lower self-reported confidence was associated with a higher US Medical Licensing Examination score and with attending a private medical school. No difference in technical skill or confidence was found between male and female applicants to a single orthopaedic surgery residency program. Female applicants trended toward self-reporting lower confidence than male applicants in post-task evaluations. Differences in confidence have been shown previously in surgical trainees, which may suggest that differences in skill and confidence may develop during residency training.

The Matthew Effect: Prevalence of Doctor and Physician Parents among Ophthalmology Applicants.

Objective This article determines the prevalence of physician parents among ophthalmology residency applications. Design Retrospective, single-center cohort study. Subjects All applicants to the University of Kentucky Ophthalmology Residency between 2018 and 2023. Methods Residency applications were reviewed, with data collection including applicant gender, self-identified Under-Represented in Medicine (URiM) status, United States Medical Licensing Examination (USMLE) Step 1 score, USMLE Step 2 score, and whether the application identified a doctor or physician as a parent. Doctor was defined as a profession requiring a doctorate degree, and similarly, physician as a profession requiring a medical degree. Results A total of 2,057 applications were reviewed, representing 54% of all match participants during the study period. Fourteen percent (296) of applications indicated a parent was a doctor and 12% (253) a parent was a physician. There were no differences between gender, URiM, USMLE Step 1, and Step 2 scores between applicants indicating a doctor or physician as a parent and those that did not ( p all > 0.4 and Cohen's d all < 0.02). Of the type of doctors, 85% (253) were physicians, 6% (17) optometrists, 6% (17) Doctors of Philosophy, 3% (8) dentists, 1% (1) pharmacist, and 1% (1) veterinarian. Eighty-six percent (217) of applications with a physician parent provided the type of physician, with ophthalmologist the most common (93, 43%). Ninety-eight percent (249) of applications with a physician parent provided the gender of the parent, with father (168, 68%) more common than mother (42, 17%) or both parents (39, 16%). Conclusion Physician parents are substantially overrepresented in ophthalmology residency applicants. This raises concerns regarding diversity and inclusion efforts for recruitment in medicine.

The importance of USMLE step 2 on the screening and selection of applicants for general surgery residency positions

BackgroundAs announced by the Federation of State Medical Boards (FSMB) and National Board of Medical Examiners (NBME), the United States Medical Licensing Examination (USMLE) Step 1 score reporting has transitioned to pass/fail outcomes instead of the traditional numeric score after January 26, 2022. USMLE Step 1 scores have been used widely as a crucial tool in screening and selecting applicants for residency programs. This study aims to determine the role of USMLE Step 2 in the selection of applicants for general surgery residency. MethodsA retrospective study was conducted over six recruiting cycles from 2016 to 2021. The data from 334 interviewed applicants from one general surgery residency program were assessed. Data analyzed included USMLE Step 1 and Step 2 scores, applicant gender, Alpha Omega Alpha (AOA) status, letters of recommendation (LOR), and research/publications (RS). ResultsOf the 334 interviewed applicants, 209 (62.6%) were male. The mean [SD] USMLE Step 1 and USMLE Step 2 C K (Clinical Knowledge) scores were 239.6 [±10.4] and 249.2 [±11.4], respectively. The mean (SD) LOR and RS scores were 4.24 [±0.4] and 3.9 [±0.7], respectively. A positive correlation was observed between USMLE Step 1 and USMLE Step 2 C K (Clinical Knowledge) scores (r = 0.60, p < .001), LOR scores (r = 0.24, p = .008), and AOA status (r = 0.19, p = .038). There was a negligible correlation between USMLE scores and applicant gender. ConclusionTransitioning USMLE Step 1 to pass/fail will make the initial screening and selection process of applications challenging for residency programs. In the short term, USMLE Step 2 scores, LOR, and AOA status are important as screening assessments. Valid measures to ensure appropriate, equitable, and fair assessments are needed.

Effectiveness of an Orthopaedic Trauma Research Fellowship to Produce Successfully Matching Residents.

Orthopaedics is becoming increasingly competitive. Approximately 25% of applicants to orthopaedic surgery go unmatched each year. The mean US Medical Licensing Examination step scores and average publication numbers have increased markedly in recent years. Reapplicants have a match rate of <60%. This study describes the results of an orthopaedic trauma research fellowship and its effectiveness in obtaining a successful orthopaedic match. A 1 to 2-year research fellowship was established at a level 1 academic trauma center. Prefellowship and fellowship metrics of 11 fellows were recorded, including undergraduate and medical schools; step-1 + step-2 scores; Alpha Omega Alpha appointment; and publication, podium, poster, and chapter accomplishments. The average step-1 score of the fellows was 218 (range, 192 to 252) and 232 (range, 212 to 254) for step-2. Seven of 11 fellows were reapplicants. Prefellowship, the average number of journal publications was 1, one podium, two posters, and zero textbook chapters. During fellowship, the average publications was 5, five podiums, six posters, and 1.5 textbook chapters. Ten of 11 fellows successfully matched into an orthopaedic residency, with six of seven being reapplicants. Six of 7 reapplying fellows (86%) successfully matched highlighting the effectiveness of this fellowship. Research fellowships should be considered as an excellent choice for applicants who may be less than ideal candidates or reapplicants.

Utility of Gynecological Teaching Associates.

Introduction Gynecological teaching associates (GTAs) are trained to teach the pelvic exam using themselves as models, and it has been hypothesized that their use can improve learners' confidence and interpersonal skills. This study aims to gain greater insight into whether the use of GTAs is associated with increased medical students' confidence when performing the pelvic exam during clinical rotations. Methods An email survey was distributed to medical students in two different classes at a single United States Medical Licensing Examination (USMLE)-accredited medical school: one that learned the pelvic exam using GTAs and one that did not. A Fisher's exact test was performed to determine associations between the use of GTAs and confidence in performing the pelvic exam, with a p-value of <0.01. Results Out of the 85 survey participants, 68 had performed a pelvic exam in the clinical setting and thus rated their confidence level. Of the 38 students who learned using a GTA, 66% (p<0.0024) reported a confidence level of four or five (out of five) compared to 50% of the 30 students who were not able to practice using a GTA. There was a statistically significant difference in the confidence levels of students who practiced on GTAs compared to those who did not. Discussion Our findings demonstrated that students who were able to learn the pelvic exam using GTAs reported higher confidence levels when subsequently performing a pelvic exam in a clinical setting. Conclusion Our findings support investment in GTA programming for teaching the pelvic exam in medical school curricula.

Artificial intelligence in cardiology: Exciting but handle with caution

While artificial intelligence is not new, recent advances have caught the attention of people in many fields of study. In fact, Alan Turing, who conceived of the idea of what is now called a computer in 1937, was also an early leader in the field of artificial intelligence. The Turing test was developed to measure a machine's ability to be indistinguishable from human output [ [1] Topol E. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books, 2015 Google Scholar ]. Only recently, with sufficient computing power, the internet, big data, and large language models, such as ChatGPT4 and has the vision of ‘AI’ begun to be met [ [2] Topol E.J. High-performance medicine: the convergence of human and artificial intelligence. Nat. Med. 2019; 25: 44-56 Crossref PubMed Scopus (1969) Google Scholar ]. In addition to ChatGPT, which as developed by OpenAI, in collaboration with Microsoft, other large language model, possessing large data and computing power have been developed by Google and Facebook, and it is likely that more will follow. ChatGPT4 recently gained a lot attention when, despite no formalized training, was able to pass the United States Medical Licensing examination (USMLE), providing explanations of the medical reasoning [ [3] Nori H. King N. McKinney S. Carignan D. Horvitz E. Capabilities of GPT-4 on medical challenge problems. arXiv. 20 Mar 2023; (2303.13375v1 [cs.CL]) Google Scholar ]. Artificial Intelligence and machine learning systems (AI/ML) are only as good as the dataset that was used to train the system. Bias in the training dataset will be passed onto the system.

Medical Students' Socioeconomic Status and Academic Performance in Medical School.

Background Students from lower socioeconomic groups tend to underestimate their chances of acceptance to medical school and their likelihood of success once admitted. Objective The objective of this study is to determine if socioeconomic disadvantage status is linked to lower medical college admission test (MCAT) scores and academic performance in medical school. Methods Using the Association of American Medical Colleges (AAMC) education/occupation (EO) indicator, we compared economically disadvantaged students to students with no financial disadvantage on the MCAT, Phase 1 National Board of Medical Examiners (NBME), United States Medical Licensing Examination (USMLE) Step 1, Phase 2 NBME, and USMLE Step 2 test scores. Results Medical students in the disadvantaged group scored significantly lower on the MCAT than students with no financial disadvantage. The disadvantaged group showed a non-significant lower trend in performance until USMLE Step 2. Conclusions Applicants from lower socioeconomic backgrounds may perform lower on their MCAT and early medical school benchmark exams, but they appear to catch up with and even surpass their peers on their USMLE Step 2 examination.

Increasing Diversity in the Physician Workforce: Pathway Programs and Predictive Analytics.

Lack of diversity in the physician workforce has well-documented negative impacts on health outcomes. Evidence supports the use of pathway or pipeline programs to recruit underrepresented in medicine students. However, data on how a pathway program should deliver instruction are lacking. This report describes a multiyear project to build such a system with the goal of increasing diversity within medical school cohorts and ultimately the physician workforce. In the 2015-2016 academic year, the Ponce Health Sciences University started a 3-phase project to create a data-driven medical school feeder system by coupling a pathway program with predictive analytics. Phase 1 launched the pathway program. Phase 2 developed and validated a predictive model that estimates United States Medical Licensing Examination (USMLE) Step 1 performance. Phase 3 is underway and focuses on adoption, implementation, and support. Data analysis compared 2 groups of students (pathway vs direct) across specific factors, including Medical College Admission Test (MCAT) score, undergraduate grade point average (GPA), first-generation status, and Step 1 exam performance. Statistically significant differences were found between the 2 groups on the MCAT exam and undergraduate GPA; however, no significant differences were found between groups for first-generation status and performance on the Step 1 exam. This finding supports the authors' hypothesis that although pathway students have significantly lower mean MCAT exam scores compared with direct students, pathway students perform just as well on the USMLE Step 1 exam. Next steps include expanding the project to another campus, adding more socioeconomic status and first-generation data, and identifying best curricular predictors. The authors recommend that medical school programs use pathway programs and predictive analytics to create a more data-centered approach to accepting students with the goal of increasing physician workforce diversity.

Recent Trends and Future Directions for the Integrated Plastic Surgery Match.

The integrated plastic surgery residency match has risen to be the most competitive specialty in the 2022 match. This reality has prompted medical students to reach a high level of personal achievements, including pursuing research fellowships to boost research productivity. The competitive nature of this specialty has highlighted several barriers for applicants, such as those from groups underrepresented in surgery, of lower socioeconomic backgrounds, or without a home program. In recent years, there have been several changes to the match that stand to attenuate disparities among applicants, such as the transition to virtual interviews and the shift of the United States Medical Licensing Examination Step 1 score to pass-fail. The introduction of the Plastic Surgery Common Application and standardized letters of recommendation has altered the application process for the plastic surgery match. Given these recent trends, evaluating the current landscape and looking toward future directions for the integrated plastic surgery match becomes necessary. Understanding these changes will not only benefit medical students by giving them a transparent look into the match process but also provide a framework for other specialties to follow to increase accessibility to their specific specialty.

Barriers in Ophthalmology Residency Applications for Students Identifying as Underrepresented in Medicine: A San Francisco Match Analysis

There is a significant lack of ophthalmologists who self-identify as underrepresented in medicine (URiM) in the physician workforce. Prior literature has revealed bias in traditional metrics for selection relied on by resident programs such as United States Medical Licensing Examination (USMLE) scores, letters of recommendation (LOR), and induction into medical honors societies such as Alpha Omega Alpha (AOA). The purpose of this study was to elucidate race-based differences in word usage within ophthalmology residency letters of recommendation that may disproportionately affect URiM applicants. This was a retrospective, cohort study. This was a multicenter study across the Wilmer Eye Institute at Johns Hopkins, the University of California San Francisco, and the University of North Carolina at Chapel Hill. San Francisco (SF) Match applications submitted to three ophthalmology residency programs between 2018 and 2020 were reviewed. URiM status, USMLE Step 1 score, and AOA membership were recorded. Letters of recommendation were analyzed using text analysis software. T-tests and chi-squared or Fisher's exact tests were used to compare continuous and categorical variables, respectively. Frequency of word/summary term usage in letters of recommendation were the main outcome measures. Relative to non-URiM applicants, URiM applicants had lower USMLE Step 1 scores (mean difference=7.0; p<0.001). Non-URiM letters of recommendation were more likely to describe applicants as "dependable" (p=0.009) and highlight "research" (p=0.046). URiM letters were more likely to describe applicants as "warm" (p=0.02) and "caring" (p=0.02). This study identified potential barriers for URiM ophthalmology residency applicants which can help guide future interventions to increase workforce diversity.

Prior Enlisted Medical Students at the Uniformed Services University: Outcomes During Four Years of Medical School

The Uniformed Services University (USU) implemented the Enlisted to Medical Degree Preparatory Program (EMDP2) with the goal of enhancing the diversity of the military physician corps. Programs like EMDP2 can assist students in making the social and intellectual transition from undergraduate studies to medical school and beyond. These types of programs are also opportunities to reduce health disparities and prepare students to work in multicultural settings. The purpose of this study was to evaluate whether there was any significant difference in performance between USU medical students who had attended the EMDP2 and those who had not.We compared the results of National Board of Medical Examiners (NBME) Clinical Science Subjects, United States Medical Licensing Examination (USMLE) Step 1, and USMLE Step 2 Clinical Knowledge exams of EMDP2 learners from the School of Medicine classes of 2020 to 2023 to those of four similarly sized cohorts of their peers who varied by age and prior military service.We found that the performance of EMDP2 graduates was comparable to their peers who followed more traditional and other alternative paths to medical school. For example, regression models showed that EMDP2 status was not a statistically significant predictor of average clerkship NBME exam score, nor of USMLE Step 1 failure.EMDP2 graduates performed on a par with their medical school peers, and EMDP2 status does not appear to influence NBME or USMLE performance. EMDP2 provides a focused curriculum and addresses the mandate to make medical education opportunities available to a more diverse population.

Medical School Admissions: Focusing on Producing a Physician Workforce That Addresses the Needs of the United States.

The aging population, burnout, and earlier retirement of physicians along with the static number of training positions are likely to worsen the current physician shortage. There is an urgent need to transform the process for selecting medical students. In this Invited Commentary, the authors suggest that to build the physician workforce that the United States needs for the future, academic medicine should focus on building capacity in 3 overarching areas. First, medical schools need to develop a more diverse pool of capable applicants that better matches the demographic characteristics of health care trainees with those of the population, and they need to nurture applicants with diverse career aspirations. Second, medical schools should recalibrate their student selection process, aligning criteria for admission with competencies expected of medical school graduates, whether they choose to become practicing clinicians, physician-scientists, members of the public health workforce, or policy makers. Selection criteria that overweight the results of standardized test scores should be replaced by assessments that value and predict academic capacity, adaptive learning skills, curiosity, compassion, empathy, emotional maturity, and superior communication skills. Finally, to improve the equity and effectiveness of the selection processes, medical schools should leverage innovations in data science and generative artificial intelligence platforms. The ability of ChatGPT to pass the United States Medical Licensing Examination (USMLE) demonstrates the decreasing importance of memorization in medicine in favor of critical thinking and problem-solving skills. The 2022 change in the USMLE Step 1 to pass/fail plus the exodus of several prominent medical schools from the U.S. News and World Report rankings have exposed limitations of the current selection processes. Newer approaches that use precision education systems to leverage data and technology can help address these limitations.