Optimizing Anesthesia Care: Leveraging Large Language Models for Effective Preoperative Planning [0.03%]
优化麻醉护理：利用大型语言模型进行有效的术前规划
Mary Scott-Herring,Katherine Thorpe,Nancy Crowell et al.
Mary Scott-Herring et al.
Although artificial intelligence has quickly gained widespread popularity, there is a gap in the research regarding the usefulness of using large language models in the context of clinical practice. The purpose of this study was to examine ...
Validating the Effectiveness of a VR-based and Haptic Technology-based Operating Room Simulation Program Among Nursing Students [0.03%]
基于VR和触觉技术的模拟手术室程序在护理学学生中有效性的验证研究
Hyeon-Young Kim
Hyeon-Young Kim
This study aimed to validate the effectiveness of a virtual reality (VR) and haptic technology-based simulation program for operating room nursing education among undergraduate nursing students. Providing students with hands-on experience i...
Use of Inpatient Portals By Patients and Staff in Canadian Acute Care Settings: An Environmental Scan [0.03%]
加拿大急性护理设置中患者和员工使用入院门户网站的状况扫描分析
Sean Elliott,Karen L Courtney,Marge Benham-Hutchins
Sean Elliott
Undergraduate Nursing Students' Experiences With Artificial Intelligence in a Research and Evidence-based Practice Course [0.03%]
护理学专业本科生在研究与基于证据的实践课程中使用人工智能的经历
Amy Reed,Angela Andrews,Erica Frost
Amy Reed
As artificial intelligence tools become prominent in health care and education, it is critical to understand nursing students' attitudes and experiences with their use. This project explored senior nursing students' attitudes, experiences, ...
Using Large Language Models to Detect Anxiety and Nausea/Vomiting Documentation in Clinical Notes of Patients With Cancer [0.03%]
利用大型语言模型检测癌症患者临床记录中的焦虑和恶心/呕吐症状
Nahid Zeinali,Alaa Albashayreh,Weiguo Fan et al.
Nahid Zeinali et al.
Large language models (LLMs) are increasingly utilized for named entity recognition (NER) in health care, with significant potential to enhance symptom detection within electronic health records (EHRs). This study explores the application o...
Katherine Bravo,Tedd J Welniak,Jennifer Kallio
Katherine Bravo
Increased use of Design Thinking as an innovative problem-solving technique has led to a spike in the number of disciplines drawn to its common characteristics of collaboration, empathy, and quick testing of ideas. Published reports of thes...
A Pilot Report on Extracting Symptom Onset Date and Time From Clinical Notes in Patients Presenting With Chest Pain [0.03%]
一项关于从胸痛患者临床记录中提取症状起始日期和时间的试点研究报告
Anjaly George,Aashrith Maisa,Caitlin Dreisbach et al.
Anjaly George et al.
The timing of clinical events is important information in understanding disease progression and its critical context and relationship to treatment and patient outcomes. However, time information documentation in the electronic health record...
Enhancing Accuracy of LLM in Nursing Education Through RAG and Thought Chains [0.03%]
通过RAG和思维链提高护理教育中LLM的准确性
Juan Wang,Fengrong Lu,Liang Zhang et al.
Juan Wang et al.
The penetration of large language models (LLMs) into all walks of life requires finding effective ways to improve the accuracy of their practical application in nursing scenarios. This study investigates the potential of retrieval-augmented...
Factors Associated With the Adoption of Smart Mattress in Family Caregivers: Cross-sectional Study [0.03%]
家庭护理人员使用智能床垫的影响因素：横断面研究
Sunghee H Tak,Hyein Choi,Dayeon Lee et al.
Sunghee H Tak et al.
A smart mattress is an assistive device that monitors health-related vital signs and automatically rotates to prevent pressure ulcers, reducing caregiver burden. This study examines differences in caregiving-related, digital-related, and sm...
From Likes to Learning: How Social Media and Memes Can Transform Nursing Education [0.03%]
从点赞到学习：社交媒体和表情包如何变革护理教育
Raúl Quintana-Alonso,Lucía Carton Erlandsson,Elena Chamorro-Rebollo et al.
Raúl Quintana-Alonso et al.
Social media and internet memes have emerged as influential educational tools, transforming communication and learning dynamics among contemporary students. This cross-sectional descriptive study explored perceptions of Spanish nursing stud...