Communication is a core competency of medical professionals and utmost importance for patient safety. Although curricula emphasize communication training, traditional formats, such as real or simulated interactions, can present psychological stress are limited in repetition. The recent emergence large language models (LLMs), generative pretrained transformer (GPT), offers an opportunity to overcome these restrictions.

Background Large language models such as GPT-4 (Generative Pre-trained Transformer 4) are being increasingly used in medicine and medical education. However, these prone to “hallucinations” (ie, outputs that seem convincing while factually incorrect). It is currently unknown how errors by large relate the different cognitive levels defined Bloom’s taxonomy. Objective This study aims explore performs terms of taxonomy using psychosomatic exam questions. Methods We a data set multiple-choice...

Although history taking is fundamental for diagnosing medical conditions, teaching and providing feedback on the skill can be challenging due to resource constraints. Virtual simulated patients web-based chatbots have thus emerged as educational tools, with recent advancements in artificial intelligence (AI) such large language models (LLMs) enhancing their realism potential provide feedback.

Communication skills are essential in a patient-centred health service and therefore medical teaching. Although significant differences communication behaviour of male female students known, gender the performance still under-reported. The aim this study was to analyse context an OSCE exam (OSCE = Objective Structured Clinical Examination).In longitudinal trend based on seven semester-cohorts, it analysed if there students' skills. (self-perception) standardized patients (SP) (external...

Abstract Situations like the COVID-19 pandemic urgently require implementation of eHealth for vulnerable patient populations. Here we quantitatively evaluate use and potential modern information communication technology (ICT) in solid organ transplant (SOT) recipients. We conducted a structured, questionnaire-based, cross-sectional study that was addressed to patients after kidney, liver, pancreas, or combined transplantation. focused on: sociodemographic data, present digital technologies...

Abstract Background Informed consent talks are mandatory before invasive interventions. However, the patients’ information recall has been shown to be rather poor. We investigated, whether medical laypersons recalled more items from a simulated informed talk after advanced students participated in communication training aiming reduce layperson’s cognitive load. Methods Using randomized, controlled, prospective cross-over-design, 30 5th and 6th year were randomized into two groups. One group...

Online communication and the number of e-health applications have noticeably increased. However, little is known about otolaryngologists' use behavior their attitudes toward potential e-health. The aims study were to evaluate documentation, information, technologies used by otolaryngologists get a better understanding for cross-sectoral patient care.A survey was developed tested otolaryngologists, healthcare-information technology experts, health services researchers. A total 334 in private...

Hospital doctors face constantly increasing workloads. Besides caring for patients, their duties also comprise the education of future colleagues. The aim this study was to objectively investigate whether workload arising from increased patient care interferes with student supervision and is associated more non-medical activities final-year medical students.A total 54 students were asked keep a diary daily over three-week period at beginning internship in Internal Medicine. Students...

An electronic health record (EHR) is the state-of-the-art method for ensuring all data concerning a given patient are up to date use by multidisciplinary hospital teams. Therefore, medical students need be trained information technologies within this environment from early stages of their education.As little known about effects specific training curriculum, study aimed develop course module and evaluate it offer best practice teaching today's students. Moreover, we looked at acceptance new...

Abstract Introduction Large language models (LLMs) such as GPT-4 are increasingly used in medicine and medical education. However, these prone to “hallucinations” – outputs that sound convincing while being factually incorrect. It is currently unknown how errors by LLMs relate the different cognitive levels defined Bloom’s Taxonomy. Methods We a large dataset of psychosomatic multiple-choice questions (MCQ) (N = 307) with real-world results derived from school exams. answered MCQs using two...

Objective The usage of digital information and communication technologies in European healthcare is growing. Unlike numerous technological possibilities, the present use these perspectives towards them relation to otolaryngology care have so far been less interest. This study evaluates utilisation attitudes cross-sectoral among German patients. Methods A structured interview-based was conducted at outpatient facility a tertiary hospital Germany. It focused on chief complaints, current...

Background For hospitalized patients, the discharge letter serves as a crucial source of medical information, outlining important instructions and health management tasks. However, these letters are often written in professional jargon, making them difficult for patients with limited knowledge to understand. Large language models, such GPT, have potential transform summaries into patient-friendly letters, improving accessibility understanding. Objective This study aims use GPT-4 convert more...

Background Language barriers in medical encounters pose risks for interactions with patients, their care, and outcomes. Because human translators, the gold standard mitigating language barriers, can be cost- time-intensive, mechanical alternatives such as translation apps (LTA) have gained popularity. However, adequate training physicians using LTAs remains elusive. Objective A proof-of-concept pilot study was designed to evaluate use of a speech-to-speech LTA specific simulated...

Background Patient chart review is the gold standard for detection of potential patient hazards (i.e. medication errors or failure to follow up actionable results) in both routine clinical care and safety research. However, advanced medical students’ ability read charts identify rather poor. We therefore investigated whether it possible teach students how independent context cancer versus cardiac failure) charts. Methods All fifth-year one semester (n = 123) were randomized into two groups....

During internships most medical students engage in history taking and physical examination during evaluation of hospitalized patients. However, the students' ability for pattern recognition is not as developed experts complete often repeated by an expert, so important clues may be missed. On other hand, usually more extensive than experts' discuss their findings with a Supervisor. Thus effect student involvement on diagnostic accuracy unclear. We therefore compared patients emergency...

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<sec> <title>BACKGROUND</title> Although history taking is fundamental for diagnosing medical conditions, teaching and providing feedback on the skill can be challenging due to resource constraints. Virtual simulated patients web-based chatbots have thus emerged as educational tools, with recent advancements in artificial intelligence (AI) such large language models (LLMs) enhancing their realism potential provide feedback. </sec> <title>OBJECTIVE</title> In our study, we aimed evaluate...

Objective Digital information and communication technology in European healthcare is growing. Unlike the numerous technological possibilities, present use perspectives otolaryngology care have been of less interest so far. This study evaluates utilization attitudes towards digital cross-sectoral among German patients.

<sec> <title>BACKGROUND</title> For hospitalized patients, the discharge letter is an important source of medical information, containing numerous instructions and health care tasks for patients to manage their own health. However, it usually written in professional jargon that inaccessible with little knowledge. Large language models such as GPT have potential translate summaries into patient-friendly letters. </sec> <title>OBJECTIVE</title> In this study, we used GPT-4 transform letters...