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Background: Medical students are often taught clinical reasoning implicitly, rather than through a formal curriculum. Like qualified health professionals, they engage in a wide range of information seeking and other practices as part of the clinical reasoning process. This increasingly includes seeking out information online and being informed by anecdotal information from social media or peer groups. The aim of this research was to investigate how anecdotes and icon arrays influenced the clinical reasoning process of medical students deciding to prescribe a hypothetical new drug.
Methods: A cross-sectional survey design was used. The survey required participants to respond to six hypothetical clinical scenarios in which they were asked to prescribe a hypothetical drug "polypill" for a specific patient. The order of delivery of the six scenarios was randomised for each participant. In response to each scenario, participants indicated how effective they perceived each drug to be. The study received ethics approval from the University of Sydney Human Research Ethics Committee: Protocol No: 2019/001. All participants provided written informed consent before agreeing to participate in the study.
Results: A total of 56 medical students fully completed the survey. Statistical analysis of the responses indicated that the icon array may be effective for highlighting how the polypill reduces CVD risk, reducing the impact of anecdotes on efficacy judgments. Without the icon array, both the positive and negative anecdotes made participants less willing to prescribe the polypill.
Conclusions: Medical student clinical reasoning processes appear to be influenced by anecdotal information and data visualisations. The extent of this influence is unclear, but there may be a need to actively educate students about the influence of these factors on their decision-making as they graduate into a world where they will be increasingly interacting with anecdotal information on social media and visualisations of electronic data.
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http://dx.doi.org/10.1177/23821205241293491 | DOI Listing |
Channels (Austin)
December 2025
Biorheology Research Laboratory, Faculty of Health, Griffith University, Gold Coast, Australia.
The hallmarks of mechanosensitive ion channels have been observed for half a century in various cell lines, although their mechanisms and molecular identities remained unknown until recently. Identification of the bona fide mammalian mechanosensory Piezo channels resulted in an explosion of research exploring the translation of mechanical cues into biochemical signals and dynamic cell morphology responses. One of the Piezo isoforms - Piezo1 - is integral in the erythrocyte (red blood cell; RBC) membrane.
View Article and Find Full Text PDFJ Palliat Med
September 2025
Skaggs School of Pharmacy & Pharmaceutical Sciences, UC San Diego Health Sciences, San Diego, California, USA.
Artificial intelligence (AI), particularly large language models (LLMs), offers the potential to augment clinical decision-making, including in palliative care pharmacy, where personalized treatment and assessments are important. Despite the growing interest in AI, its role in clinical reasoning within specialized fields such as palliative care remains uncertain. This study examines the performance of four commercial-grade LLMs on a Script Concordance Test (SCT) designed for pharmacy students in a pain and palliative care elective, comparing AI outputs with human learners' performance at baseline.
View Article and Find Full Text PDFInt J Surg
September 2025
The Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
J Physician Assist Educ
September 2025
Andrew P. Chastain, DMS, PA-C, is an assistant professor at Butler University, Indianapolis, Indiana.
Introduction: Artificial intelligence tools show promise in supplementing traditional physician assistant education, particularly in developing clinical reasoning skills. However, limited research exists on custom Generative Pretrained Transformer (GPT) applications in physician assistant (PA) education. This study evaluated student experiences and perceptions of a custom GPT-based clinical reasoning tool.
View Article and Find Full Text PDFMedEdPublish (2016)
May 2025
Newcastle University Faculty of Medical Sciences, Newcastle upon Tyne, England, UK.
Background: Whilst debriefing literature offers valuable tools for healthcare education, there remains a gap in resources specifically designed for debriefing communication skills. Effective communication is fundamental to patient care, particularly during sensitive interactions. This article provides a specialised toolkit for educators to enhance communication skills debriefing, developed through synthesis of existing literature and the authors' extensive experience teaching communication skills through simulation.
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