2023年11月28-29日 臺大醫院國際會議中心401會議室
Docent
Department of Nursing Science
University Research Fellow, Department of Nursing Science
University of Turku, Finland
Laura-Maria Peltonen, RN, PhD, MNSc, is a clinical lecturer at the Department of Nursing Science at the University of Turku in Finland. She teaches master’s students in research methodology, knowledge management and health technology at the University of Turku in Finland. Her main research interests focus on health service research and information utilization to support the provision of care. She is the current chair of the International Medical Informatics Association (IMIA) Nursing Informatics (NI) Student and Emerging Professionals (SEP) group, and the secretary for the European Federation for Medical Informatics Nursing Informatics (EFMI NI) working group. She is an Associate Editor for the Journal of Nursing Management and she is a member of the European Academy of Nursing Science (EANS). She is also a member of the IKITK consortium, which is a research consortium with the purpose to support the construction and use of health information by developing pioneering, clever and modern clinical information and language technology solutions.
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Liukas Tanja, Rosio Riitta, Peltonen Laura-Maria(2023). Towards automated risk prediction of persistent pain: Exploring psychosocial factors from electronic health records after breast cancer surgery
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Lokmic-Tomkins Zerina, Block Lorraine J., Davies Shauna, Reid Lisa, Ronquillo Charlene Esteban, von Gerich Hanna, Peltonen Laura-Maria(2023). Evaluating the representation of disaster hazards in SNOMED CT: gaps and opportunities
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Von Gerich Hanna, Moen Hans, Peltonen Laura-Maria(2023). Electronic Health Records as Information Source in Assessment of the Effectiveness of Delivered Care - A Pilot Study
This speech will talk about policy approaches for care delivery within the domains of intensive care nursing, hospital operative management, and health language processing. Initially, we scrutinize the critical role of intensive care nursing, particularly in managing patients in critical conditions. Strategies to elevate the quality and efficiency of care are discussed, encompassing the training of nursing personnel, optimization of resource allocation, and the incorporation of advanced technologies.
Subsequently, attention is shifted to hospital operative management, underscoring the essential nature of effective management in enhancing the performance of healthcare institutions. Key components of modern hospital management, such as resource planning, risk management, and process optimization, are examined. This speech emphasizes the need for close collaboration between hospital management and nursing teams to achieve a comprehensive synergistic effect.
Finally, we introduce the application of health language processing in care delivery. Through natural language processing and machine learning techniques, we can more effectively handle extensive medical information, improve communication efficiency, and support clinical decision-making. This speech underscores the importance of formulating policies for health language processing to ensure compliance and safety in its application within healthcare settings.
In summary, this speech offers a comprehensive perspective, highlighting the interconnectedness of intensive care nursing, hospital operative management, and health language processing. It explores corresponding policy approaches to promote more effective, efficient, and high-quality care delivery.