Background: The implantation of Minimally Invasive Surgery (MIS) leads to the specialization of nurses in this surgical field. However, there is no standard curriculum of MIS Nursing in Europe. Spanish and Portuguese nurses are inexperienced and have poor training in MIS. For that, a blended learning course for nursing education in MIS (Lapnurse) has been developed. This work aims to detail the course design and to preliminary validate by experts its online theoretical module.
Methods: Lapnurse consists of an online module with nine theoretical lessons and a face-to-face module with three practical lessons. The e-learning environment created to provide the online module, with didactic contents based on surgical videos and innovative 3D designs, has been validated by two technicians (functionality) and four nurses with teaching experience in MIS (usability and content).
Results: The E-learning platform meets all technical requirements, provides whole and updated multimedia contents correctly applied for educational purposes, incorporates interactivity with 3D designs, and has an attractive, easy-to-use and intuitive design.
Conclusions: The lack of knowledge in MIS of Spanish and Portuguese nurses could be addressed by the blended learning course created, Lapnurse, where the e-learning environment that provides theoretical training has obtained a positive validation.
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http://dx.doi.org/10.3390/healthcare9080951 | DOI Listing |
Cureus
December 2024
Psychology, University of Bath, Bath, GBR.
Artificial intelligence (AI) and mixed reality (MR), within human-computer interaction (HCI), are rapidly redefining areas of healthcare by introducing new approaches to patient care and clinical education. This editorial explores how these technologies, through Extended Mind Theory, enhance mental health treatment and medical training. AI-powered virtual therapists, using natural language processing and predictive analytics, provide accessible, personalized mental health support, allowing for remote and immersive therapy.
View Article and Find Full Text PDFJ Healthc Leadersh
December 2024
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Background: In many Indian states, public health programs are led by clinicians without formal training in leadership and management, limiting their effectiveness. To tackle this, Uttar Pradesh's Department of Medical, Health, and Family Welfare initiated a Public Health Management and Leadership (PHML) training program for the Level 4 (mid-career) medical officers. This program aims to enhance the leadership and management skills necessary for these officers to support them transitioning to administrative roles.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
School of Computing, Skyline University College, Sharjah, United Arab Emirates.
Objective: The study examines the role of blended learning in improving medical students' academic performance through self-regulatory learning and technological competence and identifies the moderating role of perceived institutional support in the relationships between self-regulatory learning, perceived teacher credibility, technological competencies, and academic performance.
Methods: The study was based on behavioral learning theory as a theoretical framework, and an adapted questionnaire was used to collect the data. In total, 275 medical students participated in the study, and the data was analyzed using structural equation modeling techniques with SmartPLS.
Comput Biol Med
December 2024
Electrical and Computer Engineering Department, UC San Diego, La Jolla, CA, USA.
Automated segmentation and detection of tumors in CT scans of the liver and kidney have a significant potential in assisting clinicians with cancer diagnosis and treatment planning. However, current approaches, including state-of-the-art deep learning ones, still face many challenges. Many tumors are not detected by these approaches when tested on public datasets for tumor detection and segmentation such as the Kidney Tumor Segmentation Challenge (KiTS) and the Liver tumor segmentation challenge (LiTS).
View Article and Find Full Text PDFSci Rep
December 2024
Institute of Primary Care, University of Zurich, Zurich, Switzerland.
This study investigates the effects of two blended learning strategies on improving tacking technique in Optimist sailing among children aged 11-13. Specifically, it compares video feedback with online written instructions (BLIV) and online written instructions only (BLI). Thirty-one children aged 11-13 years old were randomly divided into three groups with different learning strategies: BLIV, BLI, and a control group (CONT).
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