Introduction: Triggered by the COVID-19 pandemic, medical education has moved online, tasking medical educators with developing virtual learning experiences. This is particularly challenging for less-represented disciplines, such as ophthalmology. We designed a red eye clinical reasoning case for preclinical medical students, which can be delivered virtually, using video conference software.
Methods: We developed a 90-minute red eye/clinical reasoning workshop for which prereading was assigned to students. We then delivered a virtual development session to nonophthalmologist copreceptors and provided a session faculty guide. The entire first-year medical student class (No. = 140) participated in one of four identical workshops, which included virtual small- and large-group discussions. Students completed a knowledge pre- and posttest, and an optional session postsurvey.
Results: Knowledge gains from pretest (No. = 94) to posttest (No. = 73) were statistically significant ( < .05), with average scores improving from 57% to 70%. Overall, students were satisfied, rating the following items 4 or 5 out of 5: session (86%, No. = 31), virtual format (83%, No. = 30), and if they recommended future use (69%, No. = 35).
Discussion: This novel, virtual clinical reasoning case simulated small- and large-group learning, achieved knowledge gains, and was well received by students. Minor technical challenges were encountered but successfully remedied, without apparent disruption to learning. This virtual medical education model can be used to enhance ophthalmology education in preclinical medical students and can be adapted for virtual design of other curricular content.
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http://dx.doi.org/10.15766/mep_2374-8265.11117 | DOI Listing |
BMC Nurs
January 2025
Departamento de Práticas Assistenciais, Hospital Israelita Albert Einstein, Avenue Albert Einstein, 627-701, São Paulo, 05651-901, Brazil.
Background: Patients hospitalized outside of monitored environments may experience sudden clinical worsening requiring transfer to the Intensive Care Unit. Early detection based on the clinical nurse's identification of the risk of clinical deterioration represents an opportunity to prevent serious adverse events. Nurse worry is defined as the use of clinical reasoning combined with intuition that precedes the patient's clinical deterioration.
View Article and Find Full Text PDFBMC Med Educ
January 2025
Department of Science and Education, Zhuzhou 331 Hospital, Zhuzhou, China.
Background: Case-Based Learning (CBL) and Problem-Based Learning (PBL) are popular methods in medical education. However, we do not fully understand how they affect the clinical thinking skills of Assistant General Practitioner (AGP) trainees. This randomised controlled trial aimed to assess the effectiveness of combining CBL and PBL and compare their impact on the clinical thinking skills of AGP trainees with that of traditional lecture-based learning (LBL).
View Article and Find Full Text PDFInsights Imaging
January 2025
Department of Radiology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt- Universität zu Berlin, Charitéplatz 1, Berlin, Germany.
Objectives: To survey physicians' views on the risks and benefits of computed tomography (CT) in the management of septic patients and indications for and contraindications to contrast media use in searching for septic foci.
Methods: A web-based questionnaire was administered to physicians at a large European university medical center in January 2022. A total of 371 questionnaires met the inclusion criteria and were analyzed with physicians' work experience, workplace, and medical specialty as independent variables.
J Multidiscip Healthc
January 2025
The Neuromuscular & Human Performance Laboratory, Department of Physical Therapy, Faculty of Health Sciences, Ariel University, Ariel, Israel.
Purpose: Direct access to physical therapy (PT) requires PTs to act as primary care providers, making differential diagnosis a critical component of patient assessment. We investigated how participation in postgraduate training in differential diagnosis and medical screening influences PTs' confidence, self-efficacy, attitudes and beliefs about treating patients with low back pain (LBP).
Patients And Methods: This prospective, two-arm study involved 49 PTs in an intervention group and 70 in a control group.
JAMIA Open
February 2025
Department of Medicine, University of Wisconsin-Madison, Madison, WI 53792, United States.
Objective: To evaluate large language models (LLMs) for pre-test diagnostic probability estimation and compare their uncertainty estimation performance with a traditional machine learning classifier.
Materials And Methods: We assessed 2 instruction-tuned LLMs, Mistral-7B-Instruct and Llama3-70B-chat-hf, on predicting binary outcomes for Sepsis, Arrhythmia, and Congestive Heart Failure (CHF) using electronic health record (EHR) data from 660 patients. Three uncertainty estimation methods-Verbalized Confidence, Token Logits, and LLM Embedding+XGB-were compared against an eXtreme Gradient Boosting (XGB) classifier trained on raw EHR data.
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