Enhancing cause of death prediction: development and validation of machine learning models using multimodal data across multiple health-care sites [0.03%]
改进死亡原因预测：多处医疗站点多模态数据机器学习模型的开发与验证
Mohammed Al-Garadi,Rishi J Desai,Kerry Ngan et al.
Mohammed Al-Garadi et al.
Objectives: To develop and validate machine learning (ML) models that predict probable cause of death (CoD) using structured electronic health record (EHR) data, unstructured clinical notes, and publicly available sources...
Cognitive readiness of nurses regarding artificial intelligence predictions: understanding through the dual lens of verbatim and gist knowledge [0.03%]
双重视角下护理人员关于人工智能预测的认知准备度研究：文字知识与要旨知识的解释力比较
Insook Cho,Soyun Shim,Hyunchul Park
Insook Cho
Objectives: The expansion of artificial intelligence (AI)-enabled clinical decision support (CDS) requires nurses to interpret complex model outputs. However, their cognitive readiness remains underexplored, particularly ...
Revealing the impact of COVID-19 on mental health through machine learning [0.03%]
通过机器学习揭示COVID-19对精神健康的影响
Salah Bouktif,Akib Mohi Ud Din Khanday,Ali Ouni
Salah Bouktif
Objective: The COVID-19 pandemic caused a major health crisis worldwide significantly impacting mental well-being. In this study, our objective is to assess the resilience of pre-pandemic depression level prediction model...
Provider and information technology operations staff perspectives on the feasibility of writing patient-generated health data into the electronic health record [0.03%]
医疗保健提供者和信息技术从业人员对于在电子健康记录中写入患者生成的健康数据的看法
Aman Saiju,Subiksha Umakanth,Anna Vaynrub et al.
Aman Saiju et al.
Objectives: This study aims to develop a detailed understanding of provider and Information Technology (IT) operations staff experiences and attitudes regarding patients' ability to edit their data. This includes understa...
Multi-modal pediatric critical care datamart for extracorporeal support prediction and decision support [0.03%]
用于体外支持预测和决策的多模态儿科危重症数据中心
Miranda Edmunds,Aditi Gupta,Inez Oh et al.
Miranda Edmunds et al.
Objectives: To develop a multimodal pediatric critical care datamart supporting predictive modeling and decision support tool development, integrating high-resolution physiologic and clinical data and future clinical depl...
Nested order panels for adult primary care modestly improves ordering efficiency among high utilizers [0.03%]
针对成人初级保健的嵌套式顺序面板仅略微改善了高利用率患者的检验和治疗措施效率
Andrew D Schechtman,Samantha M R Kling,Donn W Garvert et al.
Andrew D Schechtman et al.
Objectives: Electronic health record (EHR) order preference lists and order sets potentially improve efficiency but have limited utility in complex primary care settings. We assessed adoption, impact on ordering efficienc...
Detecting momentary reward and affect with real-time passive digital sensor data [0.03%]
基于实时被动式数字传感器数据的瞬间奖励和情感检测
Samir Akre-Bhide,Zachary D Cohen,Amelia Welborn et al.
Samir Akre-Bhide et al.
Objectives: This study explores the capability of passive digital sensor data from smartphones and smartwatches to predict self-reported ecological momentary assessments (EMA) of affect, motivation, interest, and pleasure...
Understanding language barriers within patient portals: workarounds and opportunities for Spanish-speaking caregivers [0.03%]
理解患者门户中的语言障碍：西班牙语护理人员的工作方式及机会点分析
Gabriel Tse,Stephanie Squires,Jennifer L Carlson et al.
Gabriel Tse et al.
Objectives: To explore how Spanish-speaking caregivers navigate translation barriers in patient portals and to assess their perspectives on improving language accessibility. ...
Quality of life analysis in community pharmacy using deep learning and explainability methods [0.03%]
基于深度学习和可解释性的社区药房生活质量分析
María José Reyes-Medina,María Del Pilar Carrera-González,Vanesa Cantón-Habas et al.
María José Reyes-Medina et al.
Objectives: The study aimed to develop a deep learning-based model, using global and local explainability methods, to process clinical data collected in community pharmacies and identify the key variables influence health...
Leveraging the electronic health records to mitigate the effects of a nation-wide shortage of blood culture bottles [0.03%]
利用电子健康记录缓解全国范围的血液培养瓶短缺的影响
Dean Scott Miner,Gregory Knapp,Kristen Lambert et al.
Dean Scott Miner et al.
Objective: To evaluate how electronic health records (EHR) optimization and data analytics supported a large rural health system action plan to mitigate the effects of a nation-wide blood culture bottle shortage. ...
Case Reports
JAMIA open. 2026 Jan 27;9(1):ooag003. DOI:10.1093/jamiaopen/ooag003 2026