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.

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.

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.

Redesigning a faculty development program for clinical teachers in Indonesia: a before-and-after study.

PURPOSE: Faculty development (FD) is important to support teaching, including for clinical teachers. Faculty of Medicine Universitas Indonesia (FMUI) has conducted a clinical teacher training program developed by the medical education department since 2008, both for FMUI teachers and for those at other centers in Indonesia. However, participation is often challenging due to clinical, administrative, and research obligations. The COVID-19 pandemic amplified the urge to transform this program. This study aimed to redesign and evaluate an FD program for clinical teachers that focuses on their needs and current situation. METHODS: A five-step design thinking framework (empathizing, defining, ideating, prototyping, and testing) was used with a pre/post-test design. Design thinking made it possible to develop a participant-focused program, while the pre/post-test design enabled an assessment of the program's effectiveness. RESULTS: Seven medical educationalists and four senior and four junior clinical teachers participated in a group discussion in the empathize phase of design thinking. The research team formed a prototype of a 3-day blended learning course, with an asynchronous component using the Moodle learning management system and a synchronous component using the Zoom platform. Pre-post-testing was done in two rounds, with 107 and 330 participants, respectively. Evaluations of the first round provided feedback for improving the prototype for the second round. CONCLUSION: Design thinking enabled an innovative-creative process of redesigning FD that emphasized participants' needs. The pre/post-testing showed that the program was effective. Combining asynchronous and synchronous learning expands access and increases flexibility. This approach could also apply to other FD programs.

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.

Evaluation de l'enseignement par les étudiants : Exemple d'un atelier de simulation sur l'ECG.

INTRODUCTION: The electrocardiogram (ECG) is a fundamental tool in medical practice. At the Faculty of Medicine of Tunis (FMT), it is usually taught during a lecture. FMT's Physiology Department has innovated its teaching by introducing simulation workshops. AIM: This study aimed to assess the students' satisfaction with teaching ECG by simulation. METHODS: This was a cross-sectional descriptive study, carried out in April 2018, including 160 students in the first year of the first cycle of medical studies, divided into 10 groups. The students attended an ECG simulation workshop at the FMT media library and then answered a satisfaction form and a self-assessment questionnaire for the workshop. RESULTS: More than 50% of the students answered either satisfied or very satisfied with the duration of the course, the room, the method of the teacher, and their participation in the course of the session. Regarding teaching support, 19.3% of the students were very satisfied with the practice of the ECG on a mannequin versus 25% for the practice on a voluntary student. For the number of students per group, 42.1% of students were dissatisfied. CONCLUSION: This study highlights the weak points of this simulation workshop in order to improve it. Then, it helps to build students' confidence and encourage their adherence to the feedback process. Finally, it shows students' enthusiasm for new teaching methods such as simulation. It would be interesting to generalize this evaluation process for the improvement of medical education and the training of future doctors.

[MEDICAL EDUCATION IN THE 21ST CENTURY - "BACK TO THE FUTURE"].

INTRODUCTION: The change in the world of medicine and in the future generation of doctors, also requires the world of medical education and training to change, so that we do not find ourselves extinct like the dinosaurs. As Charles Darwin famously once said, "It is not the strongest of the species that survive, nor the most intelligent, but the one most adaptable to change".

The six degrees of curriculum integration in medical education in the United States

Despite explicit expectations and accreditation requirements for integrated curriculum, there needs to be more clarity around an accepted common definition, best practices for implementation, and criteria for successful curriculum integration. To address the lack of consensus surrounding integration, we reviewed the literature and herein propose a definition for curriculum integration for the health professions education audience. We further believe that health professions education is ready to move beyond "horizontal" (one-dimensional) and "vertical" (two-dimensional) integration and propose a model of "six degrees of curriculum integration" to expand the two-dimensional concept for future designs of health professions programs and best prepare learners to meet the needs of patients. These six degrees include: interdisciplinary, timing and sequencing, instruction and assessment, incorporation of basic and clinical sciences, knowledge and skills-based competency progression, and graduated responsibilities in patient care. We encourage medical educators to look beyond two-dimensional integration to best prepare physicians of the future.

A Local Community Outreach Educational Program on Genetic Testing: A Pilot Study.

OBJECTIVE: To develop and implement a pilot educational program on genetic testing at the Tokai University School of Medicine with a public engagement approach through a local junior-high school outreach program. METHODS: Seven medical students underwent 2 weeks of education and training to act as instructors for a one-day course on genetic testing for local junior-high school students. The one-day course comprised a lecture and an experimental lesson. The variation of UDP-glucuronosyltransferase 1A1 gene (UGT1A1) was selected as the teaching topic. A commercially available cultured human leukemia cell line was used as the source of human genomic DNA to circumvent the ethical concerns associated with obtaining samples from participants for genomic analysis. The medical students received instructions on the basics of conducting laboratory work and handling the equipment and reagents during the 2-week training. RESULTS: The seven medical students completed the 2-week training. They then taught PCR and restriction enzyme experiments and the meaning of the results to junior-high school students. CONCLUSION: A pilot educational program on genetic testing with a local community outreach approach was successfully developed and implemented.

Development of a Novel Web-Based Tool to Enhance Clinical Skills in Medical Education.

Unlabelled: A significant component of Canadian medical education is the development of clinical skills. The medical educational curriculum assesses these skills through an objective structured clinical examination (OSCE). This OSCE assesses skills imperative to good clinical practice, such as patient communication, clinical decision-making, and medical knowledge. Despite the widespread implementation of this examination across all academic settings, few preparatory resources exist that cater specifically to Canadian medical students. MonkeyJacket is a novel, open-access, web-based application, built with the goal of providing medical students with an accessible and representative tool for clinical skill development for the OSCE and clinical settings. This viewpoint paper presents the development of the MonkeyJacket application and its potential to assist medical students in preparation for clinical examinations and practical settings. Limited resources exist that are web-based; accessible in terms of cost; specific to the Medical Council of Canada (MCC); and, most importantly, scalable in nature. The goal of this research study was to thoroughly describe the potential utility of the application, particularly its capacity to provide practice and scalable formative feedback to medical students. MonkeyJacket was developed to provide Canadian medical students with the opportunity to practice their clinical examination skills and receive peer feedback by using a centralized platform. The OSCE cases included in the application were developed by using the MCC guidelines to ensure their applicability to a Canadian setting. There are currently 75 cases covering 5 specialties, including cardiology, respirology, gastroenterology, neurology, and psychiatry. The MonkeyJacket application is a web-based platform that allows medical students to practice clinical decision-making skills in real time with their peers through a synchronous platform. Through this application, students can practice patient interviewing, clinical reasoning, developing differential diagnoses, and formulating a management plan, and they can receive both qualitative feedback and quantitative feedback. Each clinical case is associated with an assessment checklist that is accessible to students after practice sessions are complete; the checklist promotes personal improvement through peer feedback. This tool provides students with relevant case stems, follow-up questions that probe for differential diagnoses and management plans, assessment checklists, and the ability to review the trend in their performance. The MonkeyJacket application provides medical students with a valuable tool that promotes clinical skill development for OSCEs and clinical settings. MonkeyJacket introduces a way for medical learners to receive feedback regarding patient interviewing and clinical reasoning skills that is both formative and scalable in nature, in addition to promoting interinstitutional learning. The widespread use of this application can increase the practice of and feedback on clinical skills among medical learners. This will not only benefit the learner; more importantly, it can provide downstream benefits for the most valuable stakeholder in medicine-the patient.

Adapting to new challenges in medical education: a three-step digitization approach for blended learning.

This research work focuses on evaluating the development of our three-step digitization approach, designed to transform traditional lectures into engaging digital learning experiences. Aimed at offering an easy-to-use solution for educators, this approach addresses the pressing challenges of modern educational environments by enhancing accessibility, engagement, and effectiveness of learning through digital means.Quantitative analysis demonstrated a notable increase in knowledge gain for students engaged with the digital format (t(230) = -2.795, p = 0.006) over traditional methods. Additionally, it was observed that the online setting significantly improved concentration levels (t(230) = -5.801, p < .001) and reduced distractions (t(230) = 2.848, p = 0.005). Emotional assessments, based on the Achievement Emotions Questionnaire (AEQ), indicated an elevation in enjoyment (t(230) = -4.717, p < .001) and a reduction in anxiety (t(230) = 9.446, p < .001) within the digital learning environment. A substantial preference for the digital course format was expressed by 61.0% of participants, with 71.4% acknowledging its superior efficiency compared to 14.3% for traditional lectures.Qualitative feedback underscored the digital format's flexibility, comprehensive learning experience, and immediate feedback as key benefits. Nevertheless, nuances such as a preferred understanding in face-to-face interactions and the absence of a social component in digital settings were noted.To conclude, the findings from this study illuminate the significant advantages of the three-step digitization approach in meeting contemporary educational challenges. By facilitating an enhanced knowledge acquisition and fostering a supportive emotional climate, this approach signifies a promising direction for the future of medical education and beyond, fusing the convenience of digital solutions with the depth and engagement of traditional learning methodologies.

[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.

Nurturing the Human Dimension in Digital and Medical Spaces Through Pedagogy of Care - a Case of Creative Enquiry.

The COVID-19 pandemic ushered in digital learning experiences to front and centre of medical education in disruptive ways. As the pandemic subsides students and educators sigh in relief, longing to move away from the loneliness and disconnection and back to the norms of face-to-face learning and consulting. In the field of medical education however, the need for digital education has exponentially increased over the decade with strong evidence for future growth. We face the pressure of increasing student numbers on clinical placement and some students now desire or even need hybrid options for the flexibility of time, place, and pace. There is persistent criticism that digital education lacks human connection. This paper argues, however, that it is possible and vital to humanise the virtual learning experience, though particular attention needs to be given to digital pedagogy and relational aspects of learning and teaching. Drawing on Noddings' pedagogies of care and her theoretical model, we unpack one case-study of a medical education elective course that transitioned online during the pandemic. The aim of this paper is to engage medical educators with the pedagogy of care and relational pedagogy literature, which are currently almost absent from the medical education literature, as applied to the digital education realm. Core themes include modelling care and connection, enabling dialogue, inviting student engagement and practice in caring for each other and supporting the deeper work of being present themselves and confirming each other. Limitations and implications for future research will also be explored.

Historical Inequities in Medical Education - Commitment to Opportunity, Diversity, and Equity at the University of Hawai'i School of Medicine.

Medical education in the US has contributed to institutionalized racism through historically exclusionary practices, which has led to health disparities and inequities in health care today. The 1910 Flexner report, which favored schools with greater resources, led to the closure of nearly half of medical schools in the Us, which were mostly small schools located in rural communities that served economically disadvantaged, ethnic minority, and female populations. Closing these schools ultimately limited the availability of physicians willing to serve disadvantaged and minority populations in impoverished and underserved communities. In order to transform medical education to be more equitable, medical schools must be proactive in opportunity, diversity, and equity efforts. This not only includes efforts in admissions and faculty hiring, but also curricula related to social and health disparities, interracial interactions between students and faculty, and service learning activities that engage and work with marginalized communities. The University of Hawai'i John A. Burns School of Medicine has a longstanding commitment to diversity, which is integral to the school's mission. Providing opportunities to underserved populations has been a priority since establishment of the school. As one of the most diverse univeristies in the US, the school of medicine continues to focus on opportunity, diversity, and equity priorities in both its strategic planning and overall mission.

The Revival of Essay-Type Questions in Medical Education: Harnessing Artificial Intelligence and Machine Learning.

OBJECTIVE: To analyse and compare the assessment and grading of human-written and machine-written formative essays. STUDY DESIGN: Quasi-experimental, qualitative cross-sectional study. Place and Duration of the Study: Department of Science of Dental Materials, Hamdard College of Medicine & Dentistry, Hamdard University, Karachi, from February to April 2023. METHODOLOGY: Ten short formative essays of final-year dental students were manually assessed and graded. These essays were then graded using ChatGPT version 3.5. The chatbot responses and prompts were recorded and matched with manually graded essays. Qualitative analysis of the chatbot responses was then performed. RESULTS: Four different prompts were given to the artificial intelligence (AI) driven platform of ChatGPT to grade the summative essays. These were the chatbot's initial responses without grading, the chatbot's response to grading against criteria, the chatbot's response to criteria-wise grading, and the chatbot's response to questions for the difference in grading. Based on the results, four innovative ways of using AI and machine learning (ML) have been proposed for medical educators: Automated grading, content analysis, plagiarism detection, and formative assessment. ChatGPT provided a comprehensive report with feedback on writing skills, as opposed to manual grading of essays. CONCLUSION: The chatbot's responses were fascinating and thought-provoking. AI and ML technologies can potentially supplement human grading in the assessment of essays. Medical educators need to embrace AI and ML technology to enhance the standards and quality of medical education, particularly when assessing long and short essay-type questions. Further empirical research and evaluation are needed to confirm their effectiveness. KEY WORDS: Machine learning, Artificial intelligence, Essays, ChatGPT, Formative assessment.