"clinical reasoning"

Sarcopenia is a serious systemic disease that reduces overall survival. TAVI is selectively performed in patients with severe aortic stenosis who are not indicated for open cardiac surgery due to severe polymorbidity. Artificial intelligence-assisted body composition assessment from available CT scans appears to be a simple tool to stratify these patients into low and high risk based on future estimates of all-cause mortality. Within our study, the segmentation of preprocedural CT scans at the level of the lumbar third vertebra in patients undergoing TAVI was performed using a neural network (AutoMATiCA)...

PURPOSE: Management reasoning is a distinct subset of clinical reasoning. We sought to explore features to be considered when designing assessments of management reasoning. METHODS: This is a hybrid empirical research study, narrative review, and expert perspective. In 2021, we reviewed and discussed 10 videos of simulated (staged) physician-patient encounters, actively seeking actions that offered insights into assessment of management reasoning. We analyzed our own observations in conjunction with literature on clinical reasoning assessment, using a constant comparative qualitative approach...

Acute thoracolumbar myelopathy is a common neurological presentation in dogs. Although certain spinal conditions present with characteristic clinical pictures, managing such cases with clinical reasoning alone (i.e., without cross-sectional imaging) has never been explored. The aim of this study was to define the outcome of patients with suspected intervertebral disc extrusion (IVDE), ischaemic myelopathy (IM) or acute non-compressive nucleus pulposus extrusion (ANNPE) that were managed with clinical reasoning alone...

OBJECTIVE: To evaluate the effect of high-fidelity simulation of pediatric emergencies compared to case-based discussion on the development of self-confidence, theoretical knowledge, clinical reasoning, communication, attitude, and leadership in undergraduate medical students. METHODS: 33 medical students were allocated to two teaching methods: high-fidelity simulation (HFS, n = 18) or case-based discussion (CBD, n = 15). Self-confidence and knowledge tests were applied before and after the interventions and the effect of HFS on both outcomes was estimated with mixed-effect models...

AIM: The purpose of this study was to analyze the effectiveness of virtual reality technology in nursing education. BACKGROUND: Virtual reality technology is regarded as one of the advanced and significant instructional tools in contemporary education. However, its effectiveness in nursing education remains a subject of debate, and there is currently limited comprehensive research discussing the impact of varying degrees of virtual technology on the educational effectiveness of nursing students...

OBJECTIVE: AI-derived language models are booming, and their place in medicine is undefined. The aim of our study is to compare responses to andrology clinical cases, between chatbots and andrologists, to assess the reliability of these technologies. MATERIAL AND METHOD: We analyzed the responses of 32 experts, 18 residents and three chatbots (ChatGPT v3.5, v4 and Bard) to 25 andrology clinical cases. Responses were assessed on a Likert scale ranging from 0 to 2 for each question (0-false response or no response; 1-partially correct response, 2- correct response), on the basis of the latest national or, in the absence of such, international recommendations...

OBJECTIVES: The aim of this study was to qualitatively and quantitatively assess changes in bovine flexor tendons before and after collagen degradation and at different angles in relation to the static B0 field using 3-dimensional ultra-short echo time (UTE) magnetization transfer (MT) imaging within a clinically feasible acquisition time. MATERIALS AND METHODS: Eight bovine flexor tendons were examined at 3 T magnetic resonance imaging including 3-dimensional UTE MT and UTE T2* research application sequences (acquired within 4:04 and 6:38 minutes, respectively) before and after enzyme-induced degradation...

ChatGPT (OpenAI), a cutting-edge natural language processing model, holds immense promise for revolutionizing medical education. With its remarkable performance in language-related tasks, ChatGPT offers personalized and efficient learning experiences for medical students and doctors. Through training, it enhances clinical reasoning and decision-making skills, leading to improved case analysis and diagnosis. The model facilitates simulated dialogues, intelligent tutoring, and automated question-answering, enabling the practical application of medical knowledge...

OBJECTIVE: The aim was to determine whether preclinical medical students can develop their illness scripts to a level comparable to that of clerkship students through test-only learning using repeated formative online testlets. METHODS: In this experimental study, participants were 52 preclinical and 53 clinical medical students. The intervention group consisted of preclinical medical students, and the control group consisted of clinical medical students. The intervention group responded to online testlets containing feedback, an innovative formative assessment method called ContExtended Questions, on general surgery for 8 days by spending no more than 30 minutes each day...

BACKGROUND: Undergraduate medical studies represent a wide range of learning opportunities served in the form of various teaching-learning modalities for medical learners. A clinical scenario is frequently used as a modality, followed by multiple-choice and open-ended questions among other learning and teaching methods. As such, script concordance tests (SCTs) can be used to promote a higher level of clinical reasoning. Recent technological developments have made generative artificial intelligence (AI)-based systems such as ChatGPT (OpenAI) available to assist clinician-educators in creating instructional materials...

BACKGROUND AND OBJECTIVES: In health care, large language models such as Generative Pretrained Transformers (GPTs), trained on extensive text datasets, have potential applications in reducing health care disparities across regions and populations. Previous software developed for lesion localization has been limited in scope. This study aims to evaluate the capability of GPT-4 for lesion localization based on clinical presentation. METHODS: GPT-4 was prompted using history and neurologic physical examination (H&P) from published cases of acute stroke followed by questions for clinical reasoning with answering for "single or multiple lesions," "side," and "brain region" using Zero-Shot Chain-of-Thought and Text Classification prompting...

We present a case study of a 24-year-old man who reported mild balance and walking difficulties for 2 years. He had a history of recurrent fever, skin lesions, headache, and elbow pain, but most of these events resolved spontaneously. There was no significant family history. On examination, we observed frontal bossing, sensorineural hearing loss, and gait ataxia. This case underscores the significance of identifying clinical indicators in patients with neurologic symptoms, particularly recurrent fever, to establish a precise and thorough differential diagnosis...

Older adults are an underserved population with a broad-spectrum of care needs due to multi-morbidity, including increasing rates of mental health conditions. Though a prime target for tele-behavioral health due to access barriers, older adults face a persistent digital divide that necessitates clinician training and education to ensure interprofessional tele-behavioral health is tailored to their needs. This paper presents findings from a simulation learning program designed to teach students about the role of video telehealth with populations with diverse needs...

BACKGROUND: Growing evidence raises doubts about the need for routine hip precautions after primary total hip replacements to reduce the risk of postoperative dislocation. However, hip precautions are still routinely and widely prescribed in postoperative care in Switzerland. We aimed to investigate experts' clinical reasoning for hip precaution recommendations after total hip arthroplasty. METHODS: Using a convenience sampling strategy, 14 semi-structured expert interviews were conducted with surgeons, physiotherapists, and occupational therapists in the vicinity of an inpatient rehabilitation clinic in Switzerland...

This narrative review explores the application of point-of-care ultrasound (POCUS) in palliative care and its feasibility in home care settings. POCUS has the potential to streamline diagnostic strategies without patient transfer to the hospital, expedite timely symptomatic relief, and reduce complications from specific palliative interventions. The advent of handheld ultrasound devices has made it an attractive diagnostic and interventional adjunct in acute palliative care. POCUS has gained widespread acceptance as part of routine care in emergency medicine and intensive care, guiding certain procedures and increasing their safety...

Responding to the need for authentic clinical training for students in the context of coronavirus disease 2019 (COVID-19), the Stellenbosch University Faculty of Medicine and Health Sciences developed an innovative 12-week longitudinal, integrated rotation for pre-final-year medical students, the Integrated Distributed Engagement to Advance Learning (IDEAL) rotation. This saw 252 students being placed across 30 primary and secondary healthcare facilities in the Western and Northern Cape provinces. With a focus on service learning, the rotation was built on experiences and research of members of the planning team, as well as partnership relationships developed over an extended period...

UNLABELLED: . The use of standardized nursing languages in electronic medical records: an exploratory study on opportunities, limitations, and strategies. INTRODUCTION: Standardized nursing languages (SNLs) have found increasing application in electronic medical records in recent years. In Italy their use is still uneven and accompanied by a silent debate between positions 'against' and 'for' their use. AIM: To render visible the debate regarding SNLs in Italy, and the strategies to consider when digitized records are based on a SNL...

INTRODUCTION: Teaching clinical reasoning to physiotherapy students is essential for preparing them to work effectively with patients. OBJECTIVE: This qualitative study aimed to explore the experiences and perceptions of clinical supervisors of teaching clinical reasoning in gerontological physiotherapy. METHODS: Australian-based clinical supervisors for student placements in gerontological physiotherapy ( n  = 9) participated in individual semi-structured interviews via videoconferencing...

IMPORTANCE: Diagnostic errors are common and cause significant morbidity. Large language models (LLMs) have shown promise in their performance on both multiple-choice and open-ended medical reasoning examinations, but it remains unknown whether the use of such tools improves diagnostic reasoning. OBJECTIVE: To assess the impact of the GPT-4 LLM on physicians' diagnostic reasoning compared to conventional resources. DESIGN: Multi-center, randomized clinical vignette study...

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