Seminars in Medical Writing and Education
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Risk Analysis of Data Privacy Violations in Digital Health Records and Patient Confidentiality
Get PDFThe fast growth of digital health tools has changed the way healthcare is provided, making it easier for both people and healthcare workers to get the care they need and more efficient. On the other side, digitising health data seriously compromises patient privacy and data security. The various hazards resulting from violations of data privacy in digital health records are discussed in this article. It emphasises the larger picture for healthcare systems and how these breaches can compromise patient privacy. Patient data is saved and distributed across many platforms as Electronic Health Records (EHRs), cloud computing, and telemedicine become more and more common. This article discusses typical hazards that could lead to unauthorised sharing of private medical records. These cover technological problems in healthcare information systems, insiders, and hackers. The General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA) among other laws, norms, and ethics aimed to safeguard patient data are discussed as well. Making ensuring health data is kept, shared, and accessed securely remains difficult even with current initiatives. Furthermore discussed in this study are many approaches to safeguard patient data including encryption, multi-factor login, and very strong safety measures. Finally, it emphasises how crucial it is for healthcare institutions to have a thorough data security strategy in place so as to establish patient confidence and guarantee adherence to all policies. Keeping data privacy current as digital health technologies evolve helps to safeguard patient privacy and maintain seamless operations of healthcare systems
Impact of Medical Information Science on Drug Discovery and Pharmaceutical Data Management
Get PDFHaving a significant impact on drug discovery, clinical study administration, and pharmaceutical data management, medical information science has grown to be a main player in the pharmaceutical industry. Combining Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, Natural Language Processing (NLP), Blockchain, and Cloud Computing has sped, more accurate, less expensively revolutionised the way things are done. Computational drug design and genomics have hastened molecular screening and target selection; predictive modelling based on artificial intelligence has made testing how well medications function simpler. Finding new patients, customising medications, and monitoring pharmaceuticals after they have been sold have all become simpler using Electronic Health Records (EHRs) and Real-World Data (RWD). Using virtual screening techniques and high-throughput screening (HTS) has accelerated the search for novel medications and rendered traditional testing procedures less relevant. Blockchain technology simultaneously ensures accurate data, adherence to rules, and safe pharmaceutical operations as well as precise legislation. Big challenges include artificial intelligence model bias, data privacy concerns, complex rules, and systems unable to interact with one another still exist even with these developments. We must establish moral guidelines, open artificial intelligence systems, and uniform standards if we are to address these issues. Future pharmaceutical research will be much improved by synthetic biology, deep learning, and quantum computing. This will improve patient outcomes and hasten the development of fresh medications. This paper demonstrates the significance of Medical Information Science to modern medications as well as how it may inspire fresh ideas in healthcare worldwide
AI-Powered Knowledge Graphs for Efficient Medical Information Retrieval and Decision Support
Get PDFThe enormous volume of medical data has resulted in the development of sophisticated systems that facilitate information search and enable clinicians in decision-making process. Driven by artificial intelligence, knowledge graphs (KGs) provide a solid structure for organising and evaluating vast volumes of diverse medical data, therefore enabling wiser question development and improved decision-making. This article presents a whole strategy for integrating knowledge graphs with artificial intelligence-based approaches to improve medical information search and decision support systems performance. Graph-based reasoning, natural language processing (NLP), and machine learning all help the proposed approach to enhance semantic comprehension. It achieves this by tying together unorganised and organised medical data sources to provide pertinent analysis. Using predictive analytics, personalised healthcare recommendations, and real-time clinical decision support, the AI-powered knowledge graph architecture helps you It achieves this by continuously shifting the relationships among illnesses, symptoms, therapies, pasts of patients. This approach also ensures that many healthcare systems may cooperate better, which facilitates information search and reduces the diagnostic error count. Including reinforcement learning techniques enhances question results depending on user interaction, therefore enhancing the search process. The results of experiments show that KGs with AI work better than traditional database-driven methods when it comes to getting medical information quickly, correctly, and usefully. The suggested method helps healthcare workers a lot by making it easier for them to get accurate, evidence-based information more quickly. This will eventually lead to better patient results. This study shows that knowledge graphs driven by AI have the ability to completely change how medical information is managed and how decisions are made. This could lead to smarter and more flexible healthcare systems
Exploring Multi-Drug Resistance Mechanisms in MBL-Producing Gram-Negative Bacteria Isolated from Hospitalized Patients: A Phenotypic Analysis
Get PDFMulti-drug resistance (MDR) is a serious threat to the efficacy of therapeutic therapies for antimicrobial resistance (AMR), which is a worldwide health problem. Gram-negative bacteria that produce metallo-beta-lactamase (MBL) have become important sources of MDR, making it more difficult to treat infections in hospitalized patients. Objective: The Gram-negative bacteria (GNB) that produces MBL was isolated from hospitalized patients. Method: Fifty-five Acinetobacter baumannii isolates were analyzed in this Phenotypic Analysis. These isolates were taken from specimens of sputum that came from adult Intensive Care Unit (ICU) patients. Gram-negative panels, namely the "VITEK 2 AST–N233 and AST-XNO5 susceptibility cards," were used for the identification and testing of each isolate in compliance with the Clinical recommendations. Multi-Drug Resistance (MDR) isolates were identified using Polymerase Chain Reaction (PCR) and Minimal Inhibitory Concentrations (MIC) experiments. Result: A 100% resistance to cefepime, ciprofloxacin, aztreonem, piperacillin and ceftazidime was detected in all 55 isolates. The 90% of samples indicated resistance to levofloxacin, but 6% to colistin. A significant prevalence of resistance genes was found; 95% of samples tested positive for blaOXA-23 and percentages ranging from 3% to 12% were positive for blaOXA-24, blaOXA-51, blaOXA-143 and blaOXA-235. 21% expressed KPC, 85% carried Integron-1 and 25% carried NDM-1. The knowledge acquired aids in improving comprehension of the difficulties presented by MBL-producing bacteria, directing the creation of focused treatments and influencing infection control procedures in hospital environments
Influence of group intervention on the quality of life of people living with HIV (PLHIV). Moxico Municipal Hospital, Angola
Get PDFAcquired immunodeficiency syndrome (AIDS) was identified in 1981 and its causative agent, the human immunodeficiency virus (HIV), was isolated in 1983. Since then, it has become a pandemic with millions of people infected worldwide. The disease mainly affects young adults, with a high impact in developing countries. Adherence to antiretroviral treatment is key to controlling the viral load, but faces challenges due to socioeconomic and cultural barriers. In Angola, group psychotherapy was implemented as a complementary intervention to improve the quality of life of HIV patients. A study carried out at the Moxico Municipal Hospital between 2022 and 2024 evaluated the impact of this strategy on 60 patients on antiretroviral treatment. The intervention included educational and therapeutic sessions focused on treatment adherence, stress reduction and social integration. Viral load and adherence indicators were measured before and after the intervention. The results showed that 90% of patients achieved undetectable viral load levels, while treatment adherence increased from 35% to 90%. No cases of vertical transmission were recorded during the study. The intervention served as a model for future strategies in primary health care. Its implementation in other points of care in the province was recommended
Factors Affecting The Choice Of University Courses: A Longitudinal Study At The Santo Tomás Italian Subsidized Private School, 2024
Get PDFCareer choice is a fundamental process in the lives of individuals, influenced by various social, cultural, economic and work factors. In the context of the Santo Tomás Italian Subsidized Private School, this research seeks to understand how these influences affect the career decisions of its graduates. The main objective is to analyze the impact of socioeconomic level, parental education, cultural identity and family expectations on the choice of university careers of these young people. To achieve this, the study combines a longitudinal approach with quantitative and qualitative methods. Surveys are used to collect sociodemographic data and semi-structured interviews to explore in depth the experiences and perceptions of graduates. The findings allow us to conclude that the choice of university major by graduates of the Santo Tomás Italian Subsidized Private School is influenced by a combination of social, cultural, economic and labor factors. These factors interact to shape students\u27 academic and career decisions, reflecting both their personal aspirations and the expectations of their families and labor market demand. Understanding these elements will allow you to implement more effective vocational guidance strategies, aimed at supporting informed and balanced decisions for your academic and professional future
Psychometric analysis of the Test Anxiety Questionnaire in schoolchildren
Get PDFTest anxiety is a disproportionate emotional response to an assessment in an academic context due to feelings of rejection, underachievement, fear, discomfort and worry about possible negative outcomes. The objective was to analyze the psychometric properties of the Test Anxiety Questionnaire (CAEX in Spanish) in Peruvian high school students aged between 11 and 17 years (M = 14.03, SD = 1.8). Confirmatory factor analysis (CFA) was performed, and the results confirmed the factorial structure of the CAEX distributed in 4 factors. The goodness-of-fit indices were acceptable ( 2 = 2791.87, p = 0.000, CFI = 0.928, TLI = 0.925, RMSEA = 0.051, SRMR = 0.062) and showed that the CAEX presents discriminant validity (p > 0.05). It is concluded that the CAEX has adequate psychometric properties and is suitable for future research related to the mental health of high school students
Integrating ChatGPT and Generative IA apps in Specialized Text Translation and Post-Editing: An Exploratory Study
Get PDFThis study explores the impact of artificial intelligence (AI) in specialized translation processes, using ChatGPT as the primary tool. The research, with an empirical-exploratory and mixed-method approach, focuses on two objectives: first, to analyze the translation skills and strategies used by students employing ChatGPT to translate texts in legal, medical, and scientific fields; second, to describe the post-editing process, evaluating the techniques used to improve the accuracy and cultural adaptation of the final text. The central research question guiding the study is how ChatGPT influences the development of translation skills and what post-editing strategies students apply to enhance their translations. The methodology involves translation practices with a group of 15 advanced students from the Bachelor’s Degree in Translation at UABC, who translated and post-edited three specialized texts with ChatGPT. These exercises, conducted in three-hour sessions, also included the creation of specific terminological glossaries. A specialized rubric was used to measure translation quality, and Translog-II software recorded the time spent on each activity, assessing the efficiency and accuracy of the process. Preliminary results indicate improved efficiency in the translation process and the final product quality through AI tools and post-editing. In the final survey, students also reported a positive perception of ChatGPT, highlighting its utility in developing specific translation competencies
Academic leadership in times of change: a view from the University of Zulia and Argentina
No full textThe research analyzed leadership in the Self-Development Unit of the Faculty of Economic and Social Sciences of the University of Zulia, with the purpose of evaluating its impact on the performance of facilitators and administrative personnel. It was based on the premise that leadership is essential in any organization and that its correct exercise influences the achievement of institutional objectives. The study sought to provide tools to improve university management and contribute to the development of human talent.In the Argentine context of 2022, leadership in university institutions acquired a central relevance due to the post-pandemic challenges. The reconfiguration of the educational system, the implementation of hybrid modalities and budgetary constraints demanded strategic leadership to ensure educational quality. The importance of participatory and horizontal models was highlighted, in contrast to hierarchical approaches predominant in Latin America.The study included fundamental theoretical references on leadership and organizational sociology, applying a comparative approach between the University of Zulia and the Argentinean university system. It was concluded that effective leadership improves change management and decision making in university environments. In Argentina, academic leadership played a key role in student retention and adaptation to new institutional dynamics. The research provided valuable insights to strengthen university leadership and ensure a more equitable and sustainable educational development.
Interactive strategies for teaching history: The impact of Genially on motivation and learning
Get PDFIntroduction: The advance of Information and Communication Technologies (ICT) has transformed education, favoring the implementation of innovative teaching strategies. In this context, the use of the digital tool Genially has made it possible to energize the teaching of History, encouraging the active participation of students. This study focused on designing and evaluating interactive strategies based on Genially, with the aim of improving the learning of historical content and developing critical thinking in secondary education students.Development: of a qualitative methodological approach, case studies, classroom observations and surveys aimed at students and teachers were carried out. The results showed that the integration of Genially in the teaching of History increased student motivation, facilitated the understanding of historical events and improved knowledge retention. In addition, the use of interactive resources, such as timelines and concept maps, promoted more autonomous and meaningful learning. However, challenges such as the digital divide and the need for teacher training in the pedagogical use of digital tools were identified.Conclusion: The study showed that Genially is an effective tool for improving the process of teaching and learning history, as it promotes a more visual, interactive and participatory learning. However, to ensure its effective implementation, it is essential to reduce the digital divide and strengthen teacher training in the design of innovative teaching strategies