Privileges, Immunities, and Affirmative Action in Medical Education.

In Students for Fair Admissions v. President and Fellows of Harvard College and Students for Fair Admissions v. University of North Carolina, the Supreme Court ruled that affirmative action in university admissions, in which an applicant of a particular race or ethnicity receives a plus factor, is unconstitutional. This ruling was based on both the Equal Protection Clause of the Fourteenth Amendment and Title VI of the Civil Rights Act of 1964. This article argues that a more natural fit as the basis for constitutional analysis would be a different clause in the Fourteenth Amendment, the Privileges or Immunities Clause. In the article, a legal analysis based on the clause is applied to medical school admissions. Depending on whether a fundamental rights reading or an antidiscrimination (equality) reading of the clause is applied, opposite conclusions are reached on the constitutionality of affirmative action in medical school admissions. This analysis demonstrates why affirmative action in admissions--in this case medical school admissions, which directly affect the composition of the Nation's physician workforce--is a complex and difficult constitutional question.

Global Trends in mHealth and Medical Education Research: Bibliometrics and Knowledge Graph Analysis.

Background: Mobile health (mHealth) is an emerging mobile communication and networking technology for health care systems. The integration of mHealth in medical education is growing extremely rapidly, bringing new changes to the field. However, no study has analyzed the publication and research trends occurring in both mHealth and medical education. Objective: The aim of this study was to summarize the current application and development trends of mHealth in medical education by searching and analyzing published articles related to both mHealth and medical education. Methods: The literature related to mHealth and medical education published from 2003 to 2023 was searched in the Web of Science core database, and 790 articles were screened according to the search strategy. The HistCite Pro 2.0 tool was used to analyze bibliometric indicators. VOSviewer, Pajek64, and SCImago Graphica software were used to visualize research trends and identify hot spots in the field. Results: In the past two decades, the number of published papers on mHealth in medical education has gradually increased, from only 3 papers in 2003 to 130 in 2022; this increase became particularly evident in 2007. The global citation score was determined to be 10,600, with an average of 13.42 citations per article. The local citation score was 96. The United States is the country with the most widespread application of mHealth in medical education, and most of the institutions conducting in-depth research in this field are also located in the United States, closely followed by China and the United Kingdom. Based on current trends, global coauthorship and research exchange will likely continue to expand. Among the research journals publishing in this joint field, journals published by JMIR Publications have an absolute advantage. A total of 105 keywords were identified, which were divided into five categories pointing to different research directions. Conclusions: Under the influence of COVID-19, along with the popularization of smartphones and modern communication technology, the field of combining mHealth and medical education has become a more popular research direction. The concept and application of digital health will be promoted in future developments of medical education.

The 2024 French guidelines for scenario design in simulation-based education: manikin-based immersive simulation, simulated participant-based immersive simulation and procedural simulation.

BACKGROUND: Simulation-based education in healthcare encompasses a wide array of modalities aimed at providing realistic clinical experiences supported by meticulously designed scenarios. The French-speaking Society for Simulation in Healthcare (SoFraSimS) has developed guidelines to assist educators in the design of scenarios for manikin- or simulated participant- based immersive simulation and procedural simulation, the three mainly used modalities. METHODS: After establishing a French-speaking group of experts within the SoFraSimS network, we performed an extensive literature review with theory-informed practices and personal experiences. We used this approach identify the essential criteria for practice-based scenario design within the three simulation modalities. RESULTS: We present three comprehensive templates for creating innovative scenarios and simulation sessions, each tailored to the specific characteristics of a simulation modality. The SoFraSimS templates include five sections distributed between the three modalities. The first section contextualizes the scenario by describing the practicalities of the setting, the instructors and learners, and its connection to the educational program. The second section outlines the learning objectives. The third lists all the elements necessary during the preparation phase, describing the educational method used for procedural simulation (such as demonstration, discovery, mastery learning, and deliberate practice). The fourth section addresses the simulation phase, detailing the behaviors the instructor aims to analyze, the embedded triggers, and the anticipated impact on simulation proceedings (natural feedback). This ensures maximum control over the learning experience. Finally, the fifth section compiles elements for post-simulation modifications to enhance future iterations. CONCLUSION: We trust that these guidelines will prove valuable to educators seeking to implement simulation-based education and contribute to the standardization of scenarios for healthcare students and professionals. This standardization aims to facilitate communication, comparison of practices and collaboration across different learning and healthcare institutions.

'What this article adds'1. The SoFraSimS provides guidelines to facilitate the development of simulation-based activities.2. These guidelines are theory-informed as well as evidence and experience-based.3. A detailed approach to writing a complete activity or scenario for procedural and immersive simulation including manikins or simulated participants is provided (the 'SoFraSimS templates').4. This work aims at standardizing practices and exchanging scenarios between simulation centers.

Analyzing research trends after the international journal transition of the Korean Journal of Medical Education: using topic modeling techniques.

PURPOSE: This study aimed to analyze the research trends of the Korean Journal of Medical Education (KJME) since it became an English-language journal. METHODS: A total of 274 articles published in KJME from 2016 to 2023 were analyzed. All article types were included in the analysis. NetMiner ver. 4.0 (Cyram Inc., Korea) was used for the main keyword and topic modeling analysis. RESULTS: Of the 274 articles, 170 (62%) and 104 (38%) were by domestic and international authors, respectively. The main keywords with high frequency were "students," "learning," "experience," "pandemic," and "perception." Three topics were derived using topic matching analysis: "residents' perception and attitude of the pandemic," "assessment of learning and achievement," and "learning experiences in the pandemic." CONCLUSION: Since the shift to English-language journals, medical education research has witnessed an increase in the number of articles published by international authors. Research on postgraduate education has increased. Research topics are relevant to situations such as the coronavirus disease 2019 pandemic. These findings can help researchers select research topics and encourage them to submit their research to the journal.

Teaching clinical reasoning: principles from the literature to help improve instruction from the classroom to the bedside.

Clinical reasoning has been characterized as being an essential aspect of being a physician. Despite this, clinical reasoning has a variety of definitions and medical error, which is often attributed to clinical reasoning, has been reported to be a leading cause of death in the United States and abroad. Further, instructors struggle with teaching this essential ability which often does not play a significant role in the curriculum. In this article, we begin with defining clinical reasoning and then discuss four principles from the literature as well as a variety of techniques for teaching these principles to help ground an instructors' understanding in clinical reasoning. We also tackle contemporary challenges in teaching clinical reasoning such as the integration of artificial intelligence and strategies to help with transitions in instruction (e.g., from the classroom to the clinic or from medical school to residency/registrar training) and suggest next steps for research and innovation in clinical reasoning.

Exploring 40 years of Korean medical education conference themes.

PURPOSE: The Korean Society of Medical Education (KSME) was founded in 1983 and celebrated its 40th anniversary in 2023. This study examines the evolution of topics discussed at KSME conferences from 1971 through 2023, highlighting shifts in the focus of medical education. METHODS: We analyzed 90 KSME conferences over 5 decades (1970s, 1980s, 1990s, 2000s, and 2010s), categorizing the topics into three eras based on emerging themes and continuity. RESULTS: Consequently, 37 topics covered at the conference were categorized. Ten topics continuously appeared from the 1970s to the 2010s, including future directions of medical education, teaching methods, faculty development, and curriculum. The topics from the 1970s to the 1990s included 14 areas, such as medical education evaluation, non-undergraduate curriculum, community-related, and research. Thirteen new topics emerged after the 2000s, such as social accountability, student support, professionalism, and quality improvements. The most common topics under innovations in medical education, a case of curriculum innovation at universities that began after 2000, were clinical clerkship, curriculum development, and medical humanities. CONCLUSION: KSME's selection of conference topics has been strategically aligned with societal needs and the evolving landscape of medical education. Future topics should continue to address relevant societal and educational challenges.

Needs and gaps of faculty development for medical schools.

PURPOSE: Current faculty development (FD) programs are mostly limited to medical education and often lack a comprehensive and systematic structure. Therefore, the present study aimed to explore the current status and needs of FD programs in medical schools to provide a basis for establishing FD strategies. METHODS: We conducted an online survey of medical school FD staff and professors regarding FD. Frequency, regression, and qualitative content analyses were conducted. FD programs were categorized into the classification frameworks. RESULTS: A total of 17 FD staff and 256 professors at 37 medical schools participated. There are gaps between the internal and external FD programs offered by medical schools and their needs, and there are gaps between the programs the professors participated in and their needs. Recent internal and external FD programs in medical schools have focused on educational methods, student assessment, and education in general. Medical schools have a high need for leadership and self-development, and student assessment. Furthermore, professors have a high need for leadership and self-development, and research. The number of participants, topics, and needs of FD programs varied depending on the characteristics of individual professors. CONCLUSION: Medical schools should expand their FD programs to meet the needs of individuals and the changing demands of modern medical education. The focus should be on comprehensive and responsive programs that cover various topics, levels, and methods. Tailored programs that consider professors' professional roles, career stages, and personal interests are essential for effective FD.

ChatGPT: A Conceptual Review of Applications and Utility in the Field of Medicine.

Artificial Intelligence, specifically advanced language models such as ChatGPT, have the potential to revolutionize various aspects of healthcare, medical education, and research. In this narrative review, we evaluate the myriad applications of ChatGPT in diverse healthcare domains. We discuss its potential role in clinical decision-making, exploring how it can assist physicians by providing rapid, data-driven insights for diagnosis and treatment. We review the benefits of ChatGPT in personalized patient care, particularly in geriatric care, medication management, weight loss and nutrition, and physical activity guidance. We further delve into its potential to enhance medical research, through the analysis of large datasets, and the development of novel methodologies. In the realm of medical education, we investigate the utility of ChatGPT as an information retrieval tool and personalized learning resource for medical students and professionals. There are numerous promising applications of ChatGPT that will likely induce paradigm shifts in healthcare practice, education, and research. The use of ChatGPT may come with several benefits in areas such as clinical decision making, geriatric care, medication management, weight loss and nutrition, physical fitness, scientific research, and medical education. Nevertheless, it is important to note that issues surrounding ethics, data privacy, transparency, inaccuracy, and inadequacy persist. Prior to widespread use in medicine, it is imperative to objectively evaluate the impact of ChatGPT in a real-world setting using a risk-based approach.

Out-of-Hospital Birth in Medical Education: A Thematic Analysis of Question Banks for Medical Licensing Examinations in the United States.

OBJECTIVES: This study assessed the content of US Medical Licensing Examination question banks with regard to out-of-hospital births and whether the questions aligned with current evidence. METHODS: Three question banks were searched for key words regarding out-of-hospital births. A thematic analysis was then utilized to analyze the results. RESULTS: Forty-seven questions were identified, and of these, 55% indicated a lack of inadequate, limited, or irregular prenatal care in the question stem. CONCLUSIONS: Systematic studies comparing prenatal care in out-of-hospital births versus hospital births are nonexistent, leading to the potential for bias and adverse outcomes. Adjustments to question stems that accurately portray current evidence are recommended.

Evaluating competency-based medical education: a systematized review of current practices.

BACKGROUND: Few published articles provide a comprehensive overview of the available evidence on the topic of evaluating competency-based medical education (CBME) curricula. The purpose of this review is therefore to synthesize the available evidence on the evaluation practices for competency-based curricula employed in schools and programs for undergraduate and postgraduate health professionals. METHOD: This systematized review was conducted following the systematic reviews approach with minor modifications to synthesize the findings of published studies that examined the evaluation of CBME undergraduate and postgraduate programs for health professionals. RESULTS: Thirty-eight articles met the inclusion criteria and reported evaluation practices in CBME curricula from various countries and regions worldwide, such as Canada, China, Turkey, and West Africa. 57% of the evaluated programs were at the postgraduate level, and 71% were in the field of medicine. The results revealed variation in reporting evaluation practices, with numerous studies failing to clarify evaluations' objectives, approaches, tools, and standards as well as how evaluations were reported and communicated. It was noted that questionnaires were the primary tool employed for evaluating programs, often combined with interviews or focus groups. Furthermore, the utilized evaluation standards considered the well-known competencies framework, specialized association guidelines, and accreditation criteria. CONCLUSION: This review calls attention to the importance of ensuring that reports of evaluation experiences include certain essential elements of evaluation to better inform theory and practice.

Optimizing Family Presence through Medical Education.

AbstractMany family members are wary of asking whether they can be present in the intensive care unit (ICU) while patients are receiving care. However, the opportunity to be present can be profoundly beneficial, especially to family members as they approach the grieving process. In the long run, this may decrease emotional complications such as post-traumatic stress disorder (PTSD) and complex grief. Family presence may also be profoundly important to patients, who may find comfort in the presence of their loved ones. Optimizing the needs of distressed families remains a controversial topic because it may distract physicians from providing needed medical care. Both parties may benefit maximally, however, through proactive training and early education during medical school, as this article will outline. Family members who may want to visit but are unable to be present in person may also benefit through virtual telehealth visits. Finally, we acknowledge specific cases that may pose ethically difficult dilemmas for ICU providers. Solutions that may be optimal in these situations will be suggested.

[ChatGPT for use in technology-enhanced learning in anesthesiology and emergency medicine and potential clinical application of AI language models : Between hype and reality around artificial intelligence in medical use]. / ChatGPT im Einsatz für "technology-enhanced learning" in Anästhesiologie und Notfallmedizin und potenzielle klinische Anwendung von KI­Sprachmodellen : Zwischen Hype und Wirklichkeit um künstliche Intelligenz im medizinischen Einsatz.

BACKGROUND: The utilization of AI language models in education and academia is currently a subject of research, and applications in clinical settings are also being tested. Studies conducted by various research groups have demonstrated that language models can answer questions related to medical board examinations, and there are potential applications of these models in medical education as well. RESEARCH QUESTION: This study aims to investigate the extent to which current version language models prove effective for addressing medical inquiries, their potential utility in medical education, and the challenges that still exist in the functioning of AI language models. METHOD: The program ChatGPT, based on GPT 3.5, had to answer 1025 questions from the second part (M2) of the medical board examination. The study examined whether any errors and what types of errors occurred. Additionally, the language model was asked to generate essays on the learning objectives outlined in the standard curriculum for specialist training in anesthesiology and the supplementary qualification in emergency medicine. These essays were analyzed afterwards and checked for errors and anomalies. RESULTS: The findings indicated that ChatGPT was able to correctly answer the questions with an accuracy rate exceeding 69%, even when the questions included references to visual aids. This represented an improvement in the accuracy of answering board examination questions compared to a study conducted in March; however, when it came to generating essays a high error rate was observed. DISCUSSION: Considering the current pace of ongoing improvements in AI language models, widespread clinical implementation, especially in emergency departments as well as emergency and intensive care medicine with the assistance of medical trainees, is a plausible scenario. These models can provide insights to support medical professionals in their work, without relying solely on the language model. Although the use of these models in education holds promise, it currently requires a significant amount of supervision. Due to hallucinations caused by inadequate training environments for the language model, the generated texts might deviate from the current state of scientific knowledge. Direct deployment in patient care settings without permanent physician supervision does not yet appear to be achievable at present.