Seminars in Medical Writing and Education
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Impact of Predatory Journal Publishing on Scholarly Practices among Academic Librarians in Nigeria: A Systematic Review of Literature
Get PDFThe rise of predatory publishing poses a concerning trend among academics, including librarians, in Nigeria. This study explores the essential aspects and consequences of predatory publishing within the realm of Nigerian academic librarians. It delineates the characteristics of predatory publishers and journals, shedding light on their subtle methods of enticing unwitting authors. The discussion navigates the intricate dimensions of predatory publishing and its detrimental impacts on research and scholarship within the librarian community. Emphasizing the devastating effects on the future of research and scholarship, the paper concludes by presenting intervention strategies and urging relevant authorities in Nigeria to take proactive measures in curtailing predatory publishing, particularly among academic librarians. The paper recommends that academic libraries and librarians should lead the awareness campaign, and individual institutions should organize periodic seminars and workshops on the consequences of predatory publishin
Problem-Based Learning (PBL): review of the topic in the context of health education
Get PDFIntroduction: active methodologies promote learning through the resolution of real situations, promoting the construction of knowledge and skills. This turns the student into an active participant, strengthening their critical thinking skills. A bibliographic review was carried out with the objective of reviewing the problem-based learning method and its benefits in the context of medical education.
Methods: a bibliographic review was carried out between December 2023 and January 2024 in the main databases and other search services. The terms “problem-based learning”, “health education”, “medical education” were used as search descriptors.
Results: in medical education, the problem-based learning approach focuses on students addressing real clinical situations to develop diagnostic and therapeutic skills. This model seeks to ensure that, from the beginning of their training, future health professionals are involved in medical practice, instead of only acquiring theoretical knowledge. The development of critical thinking is essential to face real-world clinical situations, so learning must be student-centered and meaningful, involving problems that reflect real contexts of professional practice.
Conclusions: problem-based learning is one more strategy in the wide range of possibilities for teaching and developing medical education, and it has advantages and disadvantages like any other strateg
Tools and methodologies for scientific evaluation: bibliometrics, scientometrics and informatics
Get PDFThis study analyzed the main tools and methodologies used in bibliometrics, scientometrics, informatics and altmetrics, through a descriptive analytical review of secondary sources published between 2019-2024. The research identified and evaluated the most used tools, including VOSviewer (75% usage in network analysis), CiteSpace (60% in trend identification), and Altmetric.com (80% in alternative metrics). The results revealed that fundamental mathematical models such as Lotka\u27s law (70% application), Zipf\u27s law (55%) and Bradford\u27s law (50%) continue to be essential pillars for the quantitative analysis of scientific production. Altmetrics were found to be gaining significant relevance, with Plum Analytics used in 65% of applications to assess the social impact of research. The study concluded that the integration of traditional and emerging tools allows for a more complete and multidimensional evaluation of scientific activity, although there are limitations in the accessibility and complexity of implementation of some tools
Feasibility of the model for the development of informational skills in the use of Galen Clinics in Health Information Systems tutors
No full textIntroduction: in the context of the accelerated computerisation of the health sector, the development of information skills in Health Information Systems (HIS) tutors is crucial to optimise the use of tools such as Galen Clínicas. This study evaluates the viability of a model designed to strengthen these skills in tutors in Havana, Cuba.Objective: to evaluate the viability of the model for developing informational skills in the use of Galen Clínicas among tutors on the Health Information Systems degree course in Havana, Cuba.Method: a descriptive cross-sectional study was carried out in 2023, applying a validated survey to 35 specialists with experience in HIS. Twelve components of the model were evaluated using a Likert scale, analysing their adequacy in terms of foundations, stages and ways of improvement.Results: 85.7% of the specialists considered the fundamentals and purpose of the model to be ‘very adequate’. The stages of motivation, planning, execution and evaluation were also positively valued, with more than 71% approval. The forms of improvement, such as conferences and workshops, received an 85.7% rating of ‘very adequate’. The specialists suggested integrating emerging technologies and strengthening the holistic approach.Conclusions: the proposed model is viable and suitable for developing information skills in HIS tutors. Its implementation will allow for better adaptation to technological advances, promoting informed decision-making and continuing education in the field of health
Survey of risk factors and pregnancy complications in women with prolonged gestation
Get PDFIntroduction: Pregnancy is an extraordinary and remarkable event in a woman\u27s life and requires special care for her individualities. It means an incomparable cycle for her, the art of conceiving her own child. To count the main articles involving risk factors and complications in prolonged pregnancy. Method: This is a descriptive, quantitative and exploratory data analysis study. Research was carried out in two stages: identification of the central problem and a search in the literature for quantitative research that addresses the central objective of the work and the elaboration of the following questions: "What is the nurse\u27s attribution to prolonged pregnancy?"Results: Articles were found in English, Portuguese and Spanish, a total of 14 articles. Conclusion: There is a relative scarcity of articles on risk factors and complications related to prolonged pregnancy, and there is a need for more scientific evidence
Attention Deficit Hyperactivity Disorder: A Holistic Approach . Parte 1
Get PDFIntroduction: Attention Deficit Hyperactivity Disorder (ADHD) has been widely studied due to its impact on the academic, social and emotional life of those who suffer from it. It was recognized as a neurodevelopmental disorder characterized by inattention, hyperactivity and impulsivity, mainly affecting childhood, although its symptoms persisted into adolescence and adulthood. Since its first descriptions in the 18th century, our understanding of it has evolved significantly, allowing for a more comprehensive approach to its diagnosis and treatment.Development: Historically, ADHD has been conceptualized in different ways, with the research of George F. Still and Barkley standing out in the identification of the disorder. Its diagnosis was based on clinical observation and standardized scales, which generated controversy due to the variability in the presentation of symptoms. Regarding its neurobiological basis, neuroscience studies identified alterations in the prefrontal cortex, the cerebellum and the corpus callosum, while genetic research showed a high heritability of the disorder. Its treatment combined psychological, educational and pharmacological approaches, with methylphenidate standing out as an effective option, although its use required medical supervision.Conclusions: ADHD represented a challenge in the clinical and educational fields due to its impact on human development. Neuroscience research allowed for a better understanding of its biological and genetic bases, while advances in diagnosis and treatment favored a comprehensive approach. Despite progress, there was a continued need for studies that optimize intervention strategies and promote greater awareness of its impact on patients\u27 lives
Strengthening Medical Education in Underserved Districts Through Interdisciplinary and Experiential Learning Models
Get PDFBetter medical education is necessary for improving healthcare services, particularly in areas not well covered and without simple access to qualified healthcare professionals. The ways in which cooperative and practical learning approaches could enhance medical education in several domains are examined in this article. Standard medical school often suffers from lack of resources, professors, and practice experience in places lacking sufficient medical treatment. New approaches combining hands-on learning with cooperation across several disciplines are required to address these gaps and raise the quality of medical education. From medicine, nursing, pharmacy, and public health, interdisciplinary learning forces individuals from many healthcare sectors to collaborate to acquire a better sense of how to treat patients as a whole. Teachers may enable their pupils to acquire critical skills such working together, communicating with others, and problem-solving by arranging shared learning environments. These are all crucial for delivering decent treatment in areas lacking resources. Also, students can learn useful things that they can\u27t learn in a standard classroom setting alone through experiential learning, which includes taking part in real-life healthcare situations. This method helps students learn how to think critically, make decisions, and use clinical logic. This makes medical education more useful and important. Local healthcare organisations, school officials, and politicians must work together to put these ideas into action. It is very important to pay attention to the special needs of impoverished communities and change the way healthcare workers are taught to fit the problems they face in these areas. Using technology and telemedicine can also give students who live far away access to advanced learning materials and make it easier for them to keep learning
Assessing Ethical Challenges in End-of-Life Decision-Making Through a Case Study Approach
Get PDFFor patients, families, doctors, and legislators, end-of- life decisions create major ethical conundrums. The moral conundrums in clinical practice arise from the growing complexity of medical procedures, legal differences among countries, and many cultural and religious views. Using a case study method, this research investigates these ethical dilemmas by examining important concerns like physician-assisted suicide, do-not-resuscitation (DNR) orders, palliative sedation, and life force withdrawal. It looks at ethical theories including utilitarian and deontological points of view as well as bioethical concepts of autonomy, beneficence, non-maleficence, and justice. Comparative analysis of global points of view exposes differences in legal systems and cultural attitudes on final choices. Emphasising policies to ensure compassionate, patient-centered care, the article also gives recommendations for improving ethical decision-making, highlighting rules for healthcare professionals, increasing communication tactics, the purpose of ethics committees, and policy improvements. Combining ethical ideals, legal issues, and cultural sensitivity, this study aims to assist to develop more equitable and ethically sound approaches to end-of-life decision-making
Ethical and Legal Challenges in the Use of Robotics for Critical Surgical Interventions
Get PDFMany significant operations now use robots, which has transformed contemporary medicine by enabling quicker, less intrusive therapies for patients that are more exact. Robotic-assisted surgical systems—powered by artificial intelligence (AI) and machine learning (ML)—have generated societal and legal questions as well as fresh avenues for medical outcome improvement. Privacy threats, judgements made by artificial intelligence, patient liberty, who is accountable for medical blunders, and equitable access to robotic surgical technology are among the most pressing concerns of individuals. It becomes more difficult to determine who is liable as the legislation evolves, particularly in cases where AI faults or failures lead to surgical blunders. Using artificial intelligence to perform real-time surgical decisions raises ethical questions about the requirement of human direction, the reality that machine learning systems could be biassed, and Robotic systems are also rather costly, hence they can only be employed in facilities with means to do so. This creates less equitable access to contemporary medical procedures. This article addresses these concerns by examining the new technology, risk-reducing tactics, legal frameworks, and policy recommendations required to guarantee moral and ethical use of robotically assisted surgical procedures. The research reveals that physicians must be extremely well educated, artificial intelligence must be very clear, and laws all around must be united if we want to make robotic surgery safer, more successful, and more accessible for more people. Strict legal employment criteria, clear ethical standards, and equitable healthcare procedures will direct future advancement in AI-driven robotic surgery to the highest degrees of patient safety and medical innovation.
Applications of IoT and Edge Computing in Medical Informatics for Real-Time Patient Monitoring
Get PDFParticularly with regard to health issue prediction and patient monitoring in real time, edge computing, artificial intelligence, and the Internet of Things (IoT) are altering the healthcare industry. This paper investigates how these technologies may be used, what technological issues they could have, and how they might develop in the medical domain. Continuous patient vital sign monitoring made possible by Internet of Things (IoT) devices and monitors Low-latency data processing guaranteed by edge computing facilitates real-time decision-making by means of simplicity. By simplifying early assessment and tailored treatment regimens, AI-powered predictive analytics used at the edge dramatically enhances healthcare results. New technologies handle significant issues like security, scale, data privacy, and interoperability by means of bitcoin and 5G networks. This guarantees effective and safe data flow. For instance, the research underlines the importance of consistent standards and secure patient data processing for the use of emerging technologies in the healthcare environment. Healthcare will grow more integrated, efficient, and patient-centered as IoT, cloud computing, and artificial intelligence keep improving.