Health Care Worker Perspectives After New Electronic Health Record Implementation in an Oncology Ambulatory Clinic: Qualitative and Quality-Improvement Insights [0.03%]
肿瘤门诊实施新的电子健康记录系统后医护人员的视角：定性及质量改进研究的新见解
Luxiga Thanabalachandran,Khaled Zaza,Renee Hartzell et al.
Luxiga Thanabalachandran et al.
Purpose: Electronic health record (EHR) systems aim to improve efficiency, care coordination, and patient safety, yet implementation often introduces workflow challenges and staff burden. In 2024, the Cancer Centre of Sou...
Application of the Population Health Institute Model of Health for Identifying Cancer Catchment Area Priorities [0.03%]
人群健康研究所模型在癌症诊疗区域优先事项识别中的应用
Amy Trentham-Dietz,Thomas P Lawler,Ronald E Gangnon et al.
Amy Trentham-Dietz et al.
Purpose: The University of Wisconsin Population Health Institute (PHI) Model of Health, grounded in models developed over a decade ago, provides a framework for prioritizing health-related investments including setting ag...
SNF-CLIMEDIN: A Randomized Trial of Digital Support and Intervention in Patients With Advanced Non-Small Cell Lung Cancer. A Hellenic Cooperative Oncology Group Study [0.03%]
数字支持和干预对晚期非小细胞肺癌患者的影响：希腊肿瘤合作组织的一项随机试验
Paris A Kosmidis,Thanos Kosmidis,Kyriaki Papadopoulou et al.
Paris A Kosmidis et al.
Purpose: This trial aims to investigate the effectiveness of online digital intervention in patients with non-small cell lung cancer (NSCLC) in terms of adverse events (AEs) and quality of life (QoL). ...
Randomized Controlled Trial
JCO clinical cancer informatics. 2026 Feb:10:e2500234. DOI:10.1200/CCI-25-00234 2026
Exploring the Past and Current Landscape of Biomarker-Driven Clinical Trials Through Large Language Models [0.03%]
通过大型语言模型探索生物标志物驱动的临床试验的过去和现在格局
Margaret Guo,Evan Passalacqua,Erik Bao et al.
Margaret Guo et al.
Purpose: Biomarkers, or specific somatic alterations, are increasingly required for clinical trial eligibility. Finding and enrolling patients with these biomarkers is essential not only for continuous progress in the tre...
Evaluating the Readiness of Saudi Oncology Real-World Data for Standardization and Quality Enhancement [0.03%]
评估沙特肿瘤真实世界数据标准化和质量提升的准备情况
Almaha Alfakhri,Ohoud Almadani,Ibrahim Asiri et al.
Almaha Alfakhri et al.
Purpose: Real-world data (RWD) are increasingly used in oncology research, regulatory decisions, and clinical practice; however, variability in data quality and lack of standardization remain major limitations. This study...
Validation of Claims-Based Algorithms to Classify Thoracic Radiation Therapy Courses [0.03%]
基于理赔资料的胸部放射治疗分类算法验证
Shane S Neibart,Nicholas Lin,Jacob Hogan et al.
Shane S Neibart et al.
Purpose: Routinely collected administrative data provide insights into health care utilization and outcomes but lack detailed clinical information, such as the specific site and intent of radiation therapy (RT). This stud...
Self-Supervised Transformer-Based Pipeline for Liver Tumor Segmentation and Type Classification [0.03%]
基于自监督Transformer的肝肿瘤分割与分类模型
Ramtin Mojtahedi,Mohammad Hamghalam,Jacob J Peoples et al.
Ramtin Mojtahedi et al.
Purpose: It is essential to detect and segment liver tumors to guide treatment and track disease progression. To reduce the need for large annotated data sets, we present an end-to-end pipeline that uses self-supervised p...
Novel R Shiny Tool for Survival Analysis With Time-Varying Covariate in Oncology Studies: Overcoming Biases and Enhancing Collaboration [0.03%]
一种新颖的R Shiny工具：用于肿瘤学研究中带有时变协变量的生存分析，克服偏差和增强协作
Yimei Li,Yang Qiao,Fei Gao et al.
Yimei Li et al.
Purpose: Our study is motivated by evaluating the role of hematopoietic cell transplantation (HCT) after chimeric antigen receptor T-cell (CAR-T) therapy for ALL, a debated topic. Because patients may receive HCT at diffe...
Simulation-Based Evaluation of a Large Language Model-Enabled Clinical Decision Support Platform in Oncology [0.03%]
基于模拟的大型语言模型驱动的肿瘤学临床决策支持平台评估
Nesrine Lajmi,Mehul Patel,Gareth Obery et al.
Nesrine Lajmi et al.
Purpose: A core clinical task is to synthesize fragmented patient data into a coherent summary to support decision making. However, electronic health record (EHR) inefficiencies burden clinicians and contribute to their c...
Improving Survival Models in Health Care by Balancing Imbalanced Cohorts: A Novel Approach [0.03%]
一种新颖的医疗保健生存模型改进方法：平衡不平衡群体
Catherine Ning,Dimitris Bertsimas,Per Eystein Lønning et al.
Catherine Ning et al.
Purpose: We explore whether survival model performance in underrepresented high- and low-risk subgroups-regions of the prognostic spectrum where clinical decisions are most consequential-can be improved through targeted r...