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450,337 result(s) for "medical education"
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A Cost-Effectiveness Analysis of Blended Versus Face-to-Face Delivery of Evidence-Based Medicine to Medical Students
Blended learning describes a combination of teaching methods, often utilizing digital technologies. Research suggests that learner outcomes can be improved through some blended learning formats. However, the cost-effectiveness of delivering blended learning is unclear. This study aimed to determine the cost-effectiveness of a face-to-face learning and blended learning approach for evidence-based medicine training within a medical program. The economic evaluation was conducted as part of a randomized controlled trial (RCT) comparing the evidence-based medicine (EBM) competency of medical students who participated in two different modes of education delivery. In the traditional face-to-face method, students received ten 2-hour classes. In the blended learning approach, students received the same total face-to-face hours but with different activities and additional online and mobile learning. Online activities utilized YouTube and a library guide indexing electronic databases, guides, and books. Mobile learning involved self-directed interactions with patients in their regular clinical placements. The attribution and differentiation of costs between the interventions within the RCT was measured in conjunction with measured outcomes of effectiveness. An incremental cost-effectiveness ratio was calculated comparing the ongoing operation costs of each method with the level of EBM proficiency achieved. Present value analysis was used to calculate the break-even point considering the transition cost and the difference in ongoing operation cost. The incremental cost-effectiveness ratio indicated that it costs 24% less to educate a student to the same level of EBM competency via the blended learning approach used in the study, when excluding transition costs. The sunk cost of approximately AUD $40,000 to transition to the blended model exceeds any savings from using the approach within the first year of its implementation; however, a break-even point is achieved within its third iteration and relative savings in the subsequent years. The sensitivity analysis indicates that approaches with higher transition costs, or staffing requirements over that of a traditional method, are likely to result in negative value propositions. Under the study conditions, a blended learning approach was more cost-effective to operate and resulted in improved value for the institution after the third year iteration, when compared to the traditional face-to-face model. The wider applicability of the findings are dependent on the type of blended learning utilized, staffing expertise, and educational context.
Graduate Medical Education That Meets the Nation's Health Needs
Today's physician education system produces trained doctors with strong scientific underpinnings in biological and physical sciences as well as supervised practical experience in delivering care. Significant financial public support underlies the graduate-level training of the nation's physicians. Two federal programs-Medicare and Medicaid-distribute billions each year to support teaching hospitals and other training sites that provide graduate medical education. Graduate Medical Education That Meets the Nation's Health Needs is an independent review of the goals, governance, and financing of the graduate medical education system. This report focuses on the extent to which the current system supports or creates barriers to producing a physician workforce ready to provide high-quality, patient-centered, and affordable health care and identifies opportunities to maximize the leverage of federal funding toward these goals. Graduate Medical Education examines the residency pipeline, geographic distribution of generalist and specialist clinicians, types of training sites, and roles of teaching and academic health centers. The recommendations of Graduate Medical Education will contribute to the production of a better prepared physician workforce, innovative graduate medical education programs, transparency and accountability in programs, and stronger planning and oversight of the use of public funds to support training. Teaching hospitals, funders, policy makers, institutions, and health care organizations will use this report as a resource to assess and improve the graduate medical education system in the United States.
Perceptions of medical students towards online teaching during the COVID-19 pandemic: a national cross-sectional survey of 2721 UK medical students
ObjectivesTo investigate perceptions of medical students on the role of online teaching in facilitating medical education during the COVID-19 pandemic.DesignCross-sectional, online national survey.SettingResponses collected online from 4th May 2020 to 11th May 2020 across 40 UK medical schools.ParticipantsMedical students across all years from UK-registered medical schools.Main outcome measuresThe uses, experiences, perceived benefits and barriers of online teaching during the COVID-19 pandemic.Results2721 medical students across 39 medical schools responded. Medical schools adapted to the pandemic in different ways. The changes included the development of new distance-learning platforms on which content was released, remote delivery of lectures using platforms and the use of question banks and other online active recall resources. A significant difference was found between time spent on online platforms before and during COVID-19, with 7.35% students before versus 23.56% students during the pandemic spending >15 hours per week (p<0.05). The greatest perceived benefits of online teaching platforms included their flexibility. Whereas the commonly perceived barriers to using online teaching platforms included family distraction (26.76%) and poor internet connection (21.53%).ConclusionsOnline teaching has enabled the continuation of medical education during these unprecedented times. Moving forward from this pandemic, in order to maximise the benefits of both face-to-face and online teaching and to improve the efficacy of medical education in the future, we suggest medical schools resort to teaching formats such as team-based/problem-based learning. This uses online teaching platforms allowing students to digest information in their own time but also allows students to then constructively discuss this material with peers. It has also been shown to be effective in terms of achieving learning outcomes. Beyond COVID-19, we anticipate further incorporation of online teaching methods within traditional medical education. This may accompany the observed shift in medical practice towards virtual consultations.
Role of active patient involvement in undergraduate medical education: a systematic review
ObjectivesTo identify the scope of active patient involvement in medical education, addressing the current knowledge gaps relating to rationale and motivation for involvement, recruitment and preparation, roles, learning outcomes and key procedural contributors.MethodsThe authors performed a systematic search of the PubMed database of publications between 2003 and 2018. Original studies in which patients take on active roles in the development, delivery or evaluation of undergraduate medical education and written in English were eligible for inclusion. Included studies’ references were searched for additional articles. Quality of papers was assessed using the Mixed Methods Appraisal Tool.Results49 articles were included in the review. Drivers for patient involvement included policy requirements and patients’ own motivations to contribute to society and learning. Patients were engaged in a variety of educational settings in and outside of the hospital. The vast majority of studies describe patients taking on the role of a patient teacher and formative assessor. More recent studies suggest that patients are increasingly involved in course and curriculum development, student selection and summative assessment. The new body of empirical evidence shows the wide range of learning objectives was pursued through patient participation, including competencies as professional, communicator, collaborator, leader and health advocate, but not scholar. Measures to support sustainable patient involvement included longitudinal institutional incorporation, patient recruitment and/or training, resource support and clear commitment by faculty. The importance and advantages of patient involvement were highlighted by students, faculty and patients themselves; however, organisations must continue to consider, monitor and take steps to mitigate any potential harms to patients and students.DiscussionThis systematic review provides new knowledge and practical insights to physicians and faculty on how to incorporate active patient involvement in their institutions and daily practice, and provides suggested action points to patient organisations wishing to engage in medical education.
Large language models improve clinical decision making of medical students through patient simulation and structured feedback: a randomized controlled trial
Background Clinical decision-making (CDM) refers to physicians’ ability to gather, evaluate, and interpret relevant diagnostic information. An integral component of CDM is the medical history conversation, traditionally practiced on real or simulated patients. In this study, we explored the potential of using Large Language Models (LLM) to simulate patient-doctor interactions and provide structured feedback. Methods We developed AI prompts to simulate patients with different symptoms, engaging in realistic medical history conversations. In our double-blind randomized design, the control group participated in simulated medical history conversations with AI patients (control group), while the intervention group, in addition to simulated conversations, also received AI-generated feedback on their performances (feedback group). We examined the influence of feedback based on their CDM performance, which was evaluated by two raters (ICC = 0.924) using the Clinical Reasoning Indicator – History Taking Inventory (CRI-HTI). The data was analyzed using an ANOVA for repeated measures. Results Our final sample included 21 medical students (age mean = 22.10 years, semester mean = 4, 14 females). At baseline, the feedback group (mean = 3.28 ± 0.09 [standard deviation]) and the control group (3.21 ± 0.08) achieved similar CRI-HTI scores, indicating successful randomization. After only four training sessions, the feedback group (3.60 ± 0.13) outperformed the control group (3.02 ± 0.12), F (1,18) = 4.44, p  = .049 with a strong effect size, partial η 2  = 0.198. Specifically, the feedback group showed improvements in the subdomains of CDM of creating context ( p  = .046) and securing information ( p  = .018), while their ability to focus questions did not improve significantly ( p  = .265). Conclusion The results suggest that AI-simulated medical history conversations can support CDM training, especially when combined with structured feedback. Such training format may serve as a cost-effective supplement to existing training methods, better preparing students for real medical history conversations.