The Comprehensive Patients' Health Management course explores digital health technologies to enhance patient care. It covers telehealth, electronic health records, and AI-powered diagnostics, emphasizing their role in improving diagnosis, treatment, patient safety, and system interoperability within various healthcare settings.
This course equips participants with essential data analysis skills for healthcare decision-making. It covers classic and advanced Machine Learning techniques, including classification and regression, focusing on applying Data Science methodologies to Big Data for effective healthcare planning and management.
This program enhances understanding of ECMO, a life-support technique for cardiac and respiratory failure. It highlights ECMO’s success during COVID-19 and the need for a multidisciplinary team. Participants engage in lectures, bedside training, and hands-on sessions to develop essential ECMO skills.
This practical course enhances cardiologists' and physicians' skills in cardiac pacemakers and implantable heart devices, covering application, operation, testing, programming, and troubleshooting. Participants gain knowledge of cardiac pacing, device principles, and programming pacemakers.
Virtual Reality (VR) and Augmented Reality (AR) are increasingly playing a crucial role in lifelong learning within the healthcare sector. They offer realistic, interactive experiences for medical students and healthcare providers. With VR and AR, learners can practice procedures, make diagnoses, and simulate scenarios without risking real patients. This enhances training effectiveness and improves patient care.
This course explores Clinical Decision Support Systems (CDSS) and digital health, highlighting their role in enhancing patient care and clinical efficiency. You'll learn how CDSS provides real-time insights, improves workflows, reduces errors, and addresses ethical and legal considerations in healthcare.
This e-learning course equips nurses with essential leadership and teamwork skills for delivering high-quality care. It emphasizes effective communication, collaboration, and responsibility, fostering a supportive environment where professionals leverage their expertise to enhance patient outcomes and team efficiency.
Advances in technology, AI, IoT, and telemedicine are revolutionizing patient monitoring. Wearable devices and smart sensors enable real-time health tracking, improving early detection and chronic disease management. This leads to personalized, efficient, and accessible healthcare, enhancing patient quality of life.
This course explores digital tools in patient triage, covering assessment, prioritization, and management. You'll learn about integration, data security, workforce training, and future trends through theory, case studies, and practical exercises to enhance healthcare efficiency and patient outcomes.
This module aims to enhance hospital competence in patient safety models, utilizing technology and data for follow-up. It covers medical errors, patient safety culture, global perspectives, data tools, standardized communication, and performance indicators to trace and improve safety.
This module emphasizes the importance of digital skills within patient rights and European legislation. It offers interactive e-learnings for nurses to master digital skills, providing an overview of digital technology. Nurses can customize their learning pathway based on their needs and time.
This course introduces how AI can revolutionize Evidence-Based Nursing (EBN). It covers using AI to streamline workflows, enhance clinical decisions, and reduce bias in research. Participants will learn EBN principles and explore AI's potential to optimize nursing practice.
This course equips healthcare professionals, caregivers, and administrators with skills to leverage digital tools in long-term care (LTC). It covers EHRs, telehealth, AI, and robotics to optimize patient care and operational efficiency. Participants will learn theoretical concepts, practical case studies, and hands-on training to embrace digital transformation in LTC.
This course, part of the eHospital4Future project, consists of five sessions on digital public health and decision-making tools. It's ideal for healthcare professionals, managers, IT managers, and Data Protection Officers.
This course explores the concept of emotional intelligence, its definition, origins, and significance. It examines what it means to be emotionally intelligent, why it's desirable, and the implications of lacking emotional intelligence.
This course addresses challenges in Primary HealthCare (PHC) amid digital transformation. PHC and hospital professionals will learn fundamentals, develop transformational projects, and gain insights from experts. It includes "on-the-job" training and offers a shareable career certificate (UNL).
This course provides a comprehensive overview of the digitalization of management processes, focusing on how digital technologies can transform everyday operations in healthcare and other sectors. Participants will learn about the evolution of digitalization, from early digitization efforts to the latest advancements in generative AI. By completing this course, participants will be prepared to implement digital strategies that improve efficiency, drive innovation, and maintain competitiveness in an increasingly digital world.
This course aims to provide health professionals with the necessary tools and knowledge to navigate the complex landscape of digital governance, with a focus on GDPR and European Health Data Space compliance. Participants will gain insights into data privacy, security, and the coordination of digital initiatives. Through case studies and practical applications, they will learn how to enhance governance in digital health services, ensuring better care delivery, improved patient outcomes, and compliance with regulations.