The workshop capacitates participants with foundational knowledge on integrating artificial intelligence (AI) into nursing practice and broader healthcare settings. Aimed at empowering nursing professionals, this workshop focuses on utilising AI-driven technologies and digital solutions to enhance patient care, improve clinical decision-making, and optimise nursing workflows. Participants will engage in practical activities, including AI algorithm analysis, where they assess potential biases and accountability. Selected case studies evaluating AI applications in nursing will demonstrate significant improvements in diagnostic accuracy achieved through AI tools. The workshop also incorporates workflow redesign exercises, allowing attendees to enhance existing nursing workflows with digital tools and AI solutions, exemplifying how predictive analytics can streamline patient management. Ethical implications related to AI, including concerns surrounding the adequacy of AI in nursing, are critically discussed alongside relevant regulatory frameworks to ensure the responsible implementation of AI technologies for improved patient outcomes and enhanced nursing practice efficiency.
The workshop aims to provide participants with an advanced understanding of the transformative potential of generative artificial intelligence (AI) within nursing practice. Focusing on how AI technologies can enhance nursing workflows, improve patient education, streamline documentation, and support clinical decision-making, this workshop empowers nursing professionals with the essential knowledge and skills needed for effective integration of generative AI. Participants will engage in practical activities to assess AI algorithms used in clinical settings for biases and accountability. Case study evaluations of AI applications, such as automated chatbots and clinical decision support systems, will demonstrate their effectiveness in digital nursing contexts. The workshop critically examines the ethical implications associated with generative AI, especially concerning large language models in patient interactions, promoting discussions on accountability and patient data privacy. By the conclusion of the workshop, participants will be capacitated with actionable strategies and a critical understanding of how to leverage generative AI responsibly, ultimately enhancing patient care quality and advancing digital nursing practices.
This workshop aims to capacitating participants with essential knowledge and tools for critically exploring the implications on quality assurance when using digital and AI nursing technologies, particularly generative artificial intelligence (AI) and large language models. The workshop focuses on methods and frameworks for assessing the impact of AI solutions on patient outcomes and nursing workflows. Participants will engage in practical activities, and case study evaluationsshowcasing notable AI chatbots, for example when used to enhance patient engagement during the COVID-19 pandemic. Also, the workshop addresses analysing current nursing workflows with redesign exercises to optimise nursing workflows through digital tools and AI solutions. Ethical implications surrounding AI use, particularly regarding algorithmic bias and patient data privacy, are critically discussed. By the end of the workshop, attendees will have gained actionable strategies and metrics to evaluate the effectiveness of digital nursing technologies, empowering them to uphold high patient care standards while embracing advancements in AI and digital technologies within their nursing practice.
The workshop aims to capacitates participants with a critical understanding of the essential role that nursing informatics plays in enhancing cancer care through digital innovation and artificial intelligence (AI). It seeks to empower nursing professionals by providing the knowledge and skills necessary to deploy informatics and AI technologies effectively to improve patient care, streamline workflows, and support clinical decision-making in oncology settings. Through practical examples, such as the integration of electronic health records (EHRs) and clinical decision support systems (CDSS), participants will engage with case studies demonstrating the impact of AI on patient outcomes in oncology. Ethical considerations, including data privacy and algorithmic bias, will be critically discussed to develop a culture of responsibility in implementing digital solutions. Participants will collaborate to develop actionable strategies for quality assurance and continuous improvement in their nursing practices, ensuring that AI integration is both effective and ethically sound. Ultimately, this workshop prepares nursing professionals, healthcare administrators, and informatics specialists to navigate the complexities of AI-enabled cancer care, enhancing the quality of care while embracing technological advancements.
This workshop aims to provide participants with an in-depth understanding of telehealth technologies and their implications within the nursing context. It equips nursing professionals with the essential knowledge and skills necessary to effectively utilise telehealth and remote monitoring tools to enhance patient care, streamline nursing workflows, and support clinical decision-making. Participants will engage in a variety of practical examples throughout the workshop, starting with the integration of electronic health records (EHRs) and their role in tracking patient treatment and progress. The utilisation of clinical decision support systems (CDSS) is also examined, showcasing how automated tools can aid in telehealth medication management and improve patient outcomes. Participants will interact with applications, such as AI chatbots for patient engagement, thereby enhancing communication and education in oncology nursing. Ethical considerations, including data privacy, security concerns, and the regulatory frameworks that govern telehealth practices, are examined through collaborative discussions and practical activities, with a focus on developing actionable strategies for implementing telehealth solutions responsibly and effectively.
This workshop aims to capacitates participants with essential knowledge and skills for modelling, analysing, and optimising nursing workflows using the industry standard, Business Process Model and Notation (BPMN). During the workshop, participants engage in hands-on activities that focus on creating BPMN diagrams, allowing them to visualise healthcare workflows and comprehend the intricate interplay of tasks, roles, and resources involved in nursing processes. This practical engagement is supported by an exploration of real-world examples, including the integration of electronic health records (EHRs) in oncology, which helps track treatment plans and improve continuity of care. The workshop also addresses the importance of clinical decision support systems (CDSS) and their role in medication management, showcasing how these tools reduce errors and enhance patient safety. Through collaborative problem-solving sessions, participants will critically assess existing workflows to identify inefficiencies and apply optimisation strategies that align with contemporary nursing practices. By the conclusion of the workshop, attendees will possess actionable strategies and be prepared to implement continuous improvement processes within nursing workflows, ensuring the delivery of high-quality patient care.