Experiences of patients and their caregivers in a Virtual Ward in Singapore: A descriptive qualitative study [0.03%]
新加坡虚拟病房患者的照护者体验描述性研究
Stephanie Q Ko,Crystal Min Siu Chua,Shu Hua Koh et al.
Stephanie Q Ko et al.
Background: The experiences of COVID-19 patients admitted to Virtual Wards and their caregivers are underexplored in Asian communities. A COVID-19 Virtual Ward (CVW) was recently established in Singapore. ...
Emotions of scepticism, trust, and security within the acceptance of telemedical applications [0.03%]
遥感应用中怀疑、信任及安全的情感因素的影响研究
Julia Offermann,Anna Rohowsky,Martina Ziefle
Julia Offermann
Background: Addressing demands and shortages in healthcare supply, especially care in nursing homes, applying telemedicine represents a promising approach. However, the patients' acceptance and willingness to use telemedi...
Generalizability and portability of natural language processing system to extract individual social risk factors [0.03%]
自然语言处理系统提取个体社会风险因素的泛化性和迁移性研究
Tanja Magoc,Katie S Allen,Cara McDonnell et al.
Tanja Magoc et al.
Objective: The objective of this study is to validate and report on portability and generalizability of a Natural Language Processing (NLP) method to extract individual social factors from clinical notes, which was origin...
Comparison of case-based learning using Watson for oncology and traditional method in teaching undergraduate medical students [0.03%]
沃森肿瘤学案例教学法与传统教学法对比研究
Chen Zhao,Tangpeng Xu,Yi Yao et al.
Chen Zhao et al.
Background: Watson for Oncology (WFO) is a decision-making system generated by artificial intelligence (AI) and has been widely used in treatment recommendations of cancer patients. However, the application of WFO in clin...
Randomized Controlled Trial
International journal of medical informatics. 2023 Sep:177:105117. DOI:10.1016/j.ijmedinf.2023.105117 2023
Need analysis of a dietary application among caregivers of patients with disorders of amino acid metabolism (AAMDs): A mixed-method approach [0.03%]
氨甲酸代谢障碍患者照护者使用饮食应用程序的需求分析：混合研究方法
Jing Ying Lim,Nazlena Mohamad Ali,Roslee Rajikan et al.
Jing Ying Lim et al.
Background: A dietary application can assist the caregivers of AAMDs children in auto-calculating the protein intake, hence improving dietary compliance. However, existing dietary application for patients with AAMDs only ...
Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review [0.03%]
基于自然语言处理的临床命名实体识别及医学文本关系抽取系统综述研究
David Fraile Navarro,Kiran Ijaz,Dana Rezazadegan et al.
David Fraile Navarro et al.
Background: Natural Language Processing (NLP) applications have developed over the past years in various fields including its application to clinical free text for named entity recognition and relation extraction. However...
Who needs clinician attention first? A qualitative study of critical care clinicians' needs that enable the prioritization of care for populations of acutely ill patients [0.03%]
谁需要优先获得临床关注？一项定性研究，探讨重症监护医生的需求，以确定急性病患者的护理优先级
Svetlana Herasevich,Yuliya Pinevich,Heidi L Lindroth et al.
Svetlana Herasevich et al.
Background: To adequately care for groups of acutely ill patients, clinicians maintain situational awareness to identify the most acute needs within the entire intensive care unit (ICU) population through constant reappra...
Building resilient hospital information technology services through organizational learning: Lessons in CIO leadership during an international systemic crisis in the United States and Abu Dhabi, United Arab Emirates [0.03%]
通过组织学习建立有弹性的医院信息技术服务：在美国和阿布扎比酋长国系统性国际危机期间的CIO领导经验教训
Karlene Cousins,Attila J Hertelendy,Min Chen et al.
Karlene Cousins et al.
Background: The COVID-19 pandemic was an international systemic crisis which required an unprecedented response to quickly drive the digital transformation of hospitals and health care systems to support high quality heal...
A systematic review on classification and assessment of surgical skill levels for simulation-based training programs [0.03%]
基于模拟培训计划的外科技能水平分类和评估的系统回顾
Gokcen Tonbul,Damla Topalli,Nergiz Ercil Cagiltay
Gokcen Tonbul
Background: Nowadays, advances in medical informatics have made minimally invasive surgery (MIS) procedures the preferred choice. However, there are several problems with the education programs in terms of surgical skill ...
Vittorio Palmieri,Andrea Montisci,Maria Teresa Vietri et al.
Vittorio Palmieri et al.
Background: As diagnostic and prognostic models developed by traditional statistics perform poorly in real-world, artificial intelligence (AI) and Big Data (BD) may improve the supply chain of heart transplantation (HTx),...