Technological Adoption and Trends in Health Sciences Teaching, Learning, and Practice
- 8h 31m
- Juan Antonio Juanes-Méndez, Samuel Marcos-Pablos
- IGI Global
- 2022
The use of technology in health sciences has a direct impact on health outcomes, as well as on the quality and the safety of healthcare processes. In addition, the use of new technological developments in medical education has proven to be greatly effective and creates realistic learning environments to experience procedures and devices that will become common in medical practice. However, bringing new technologies into the health sector is a complex task, which is why a comprehensive vision of the health sciences ecosystem (encompassing many different areas of research) is vital.
Technological Adoption and Trends in Health Sciences Teaching, Learning, and Practice obtains an overview of the technological trends within the health sciences ecosystem, identifies the strengths and weaknesses of the research presented to date, and depicts possible future research directions within health science education and practice. Covering topics such as artificial intelligence and online laboratories, it is ideal for health sciences educators and practitioners, technological solution providers, health organizations, health and care workers, regulators, governing bodies, researchers, academicians, and students.
About the Author
Samuel Marcos-Pablos received a Telecommunication Engineer's Degree in 2006, a M.Eng in robotics in 2009, and a Ph.D. in robotics in 2011 from the University of Valladolid (Spain). He has worked as a researcher at CARTIF's Robotics and Computer Vision Division from 2007 to 2017, where he has combined theoretical and field work. In 2018 he enrolled the Research GRoup in InterAction and eLearning at the University of Salamanca, where he focused his efforts in the development of technological ecosystems for the health sector. He is currently an assistant professor at the University of Salamanca. He has been part of the Medical and Healthcare Robotics group of the Spanish Robotics Technology Platform (Hisparob) as well as the technical contact in Cartif for the European Robotics platforms euRobotics (the European Robotics Technology Platform) AISBL and SPARC (the Partnership for Robotics in Europe). He has focused his research efforts on multimodal human-machine interaction. Particularly, in the province of social assistance robotics in the socio-health field, through the development of multimodal interaction interfaces and software architectures.
Juan Antonio Juanes-Méndez is a permanent lecturer at the University of Salamanca, where he obtained his PhD in Medicine and Surgery, and a Software Technician by the Pontificia University of Salamanca. He is a member of the Experts' Board in ACADEMIA programme (Health Scienced Field), in the National Programme of Acreditation for Permanent Leacturers in Health Sciences, at the National Agency of Quality Assessment and Screditation (ANECA). He is a professor of Human Anatomy and teaches at the Medicine, Psychology and Pharmacy Faculties. He teaches as well in different Master's programmes: Neurosciences, Clinical Neuropsychology and Communication and Information Technologies in Education. Moreover, he is also a teacher of the Universitary Posgraduate Course on Dementia and Alzheimer diseases. Master en Física y Tecnología Médica He has been invited to take part in the Scientific Committee on Information and Communication Technologies (ICTs)in the Spanish Review of Medical Radiology. He coordinates the official reserach group Advanced Medical Visualization Systems, at the University of Salamanca; and collaborated with the research group: Grup d'Anatomia Virtual i de Simulació, del Centre de Recursos per a l'Aprenentatge i la Investigació, at the University of Barcelona. He has participated as director and collaborator in more than 30 funded research and innovation projects. He has been awarded with 14 research and teaching awards from Royal Medicine Academies and other national institutions. He is a co-author of 20 books of teching kind. He has collaborated in different projects involving diverse medical and university centres of Spain. He has published more than 170 articles in international and national academic journals, and has delivered more than 350 papers at international and international conferences. The moment being, he has supervised 30 doctoral theses. He has delivered more than 60 lectures in courses, days and symposia. He has been a chair in sessions and round tables at different Conferences and Simposia.
In this Book
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Skin Tribology—Overview and Insights on Frictional Properties of Human Skin
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Tridimensional Vectorial Modeling of the Human Body from Anatomical Slices—A New VR Learning Tool for Students
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Healthcare E-Learning Ecosystem for the Use of Ultrasound in Interventional Procedures—Sharing the Keynotes on a Real Experience
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Magnetic Resonance Imaging Simulator—From a Proof of Concept to a Useful Tool in the Education of Radiographers
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Smart Splint Development—New Technologies for Diagnosis During Initial Stages of Treatment Applied to Splints – New Therapy Possibilities
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Anatomical Variability and Biomedical Imaging for Spinal Anesthesia Individualization—How 3D Tools Enhance Understanding
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An ETL Approach to the Generation of Educational Resources from Digital Radiology Medical Collections
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From Anatomic Lab to Operating Theatre—Technological Tools for Continuing Learning and Education
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Technological Environments of Anatomical-Radiological Vision in 3D for the Study of Pelvic Structures
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Mangement of a 3D Visualization Program from Radiological Images in Neuroradiology
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3D Printing in Bone Tissue Engineering—Bibliographic Review of Current Advances and Future Potential
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Medical Learning Through Simulations With Immersive Virtual Reality and Augmented Reality Devices
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The Role of Data in Health Sciences Ecosystems—Experiences Within a Psychoeducation-Oriented IT Platform
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Computational Study of In-Vivo CT-Based FEM Application in Bone Tissue Engineering
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Artificial Intelligence in the Era of Clinical Imaging—How Training Models Could Be a Challenge for New Upcoming Physicians in Radiology – Learner Needs of Radiology Residents Regarding AI
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Compilation of References