This study focuses on the typical semantic systems extracted from hospital staff communicative resources which attempt to validate information as an "object" to be transferred to patients. We describe the models of textual communication in 58 patient information leaflets from five hospital units in Brazil, gathered from 1996 to 2002. Three categories were identified, based on the theory of speech acts (Austin, Searle, and Habermas): 1) cognitive-instrumental utterances: descriptions by means of technical terms validated by self-referred, incomplete, or inaccessible argumentation, with an implicit educational function; 2) technical-directive utterances: self-referred (to the context of the source domains), with a shifting of everyday acts to a technical terrain with a disciplinary function and impersonal features; and 3) expressive modulations: need for inter-subjective connections to strengthen bonds of trust and a tendency to use childish arguments. We conclude that the three categories displayed: fragmentary sources; assumption of univocal messages and invariable use of information (idealized motivations and interests, apart from individualized perspectives); and assumption of universal interests as generators of knowledge.
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http://dx.doi.org/10.1590/s0102-311x2003000600011 | DOI Listing |
Aten Primaria
January 2025
Departamento de Investigación en Sistemas de Salud, Instituto de Ciencias de la Salud, Universidad Veracruzana, Xalapa, Veracruz, México.
Objective: To analyze the categories of risk and vulnerability based on the experience of health professionals who attended SARS-CoV-2.
Design: Exploratory research. It was developed in different phases during 2020-2021, using concurrent mixed methods and pursuing multiple objectives.
Health Qual Life Outcomes
January 2025
School of Health Management, Harbin Medical University, Harbin, 150081, China.
Purpose: Given the recent update of SF-6Dv2, detailed data on utility scores for cancer patients by cancer type remain scarce in China and other regions, which limits the precision of cost-utility analyses (CUA) in cancer interventions. The aim of the study was to systematically evaluate utility scores of six common cancers in China measured using SF-6Dv2, and identify the potential factors associated with utility scores.
Methods: A hospital-based cross-sectional survey was conducted from August 2022 to December 2023.
NPJ Digit Med
January 2025
Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
The 12-lead electrocardiogram (ECG) is inexpensive and widely available. Whether conditions across the human disease landscape can be detected using the ECG is unclear. We developed a deep learning denoising autoencoder and systematically evaluated associations between ECG encodings and ~1,600 Phecode-based diseases in three datasets separate from model development, and meta-analyzed the results.
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January 2025
Department of Infectious Diseases and Clinical Microbiology, Bakirkoy Dr Sadi Konuk Training and Research Hospital, Istanbul, 34140, Turkey.
This is the first study to evaluate the adequacy and reliability of the ChatGPT and Gemini chatbots on viral hepatitis. A total of 176 questions were composed from three different categories. The first group includes "questions and answers (Q&As) for the public" determined by the Centers for Disease Control and Prevention (CDC).
View Article and Find Full Text PDFSci Rep
January 2025
Department of Hospital Pathology, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 06591, Korea.
Recently, as the number of cancer patients has increased, much research is being conducted for efficient treatment, including the use of artificial intelligence in genitourinary pathology. Recent research has focused largely on the classification of renal cell carcinoma subtypes. Nonetheless, the broader categorization of renal tissue into non-neoplastic normal tissue, benign tumor and malignant tumor remains understudied.
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