Sociotechnical safety risks in oncology: a framework-guided qualitative study [0.03%]
肿瘤学中的社会技术安全风险：一项框架指导下的定性研究
Chantelle Recsky,Michelle B Tam,Arlyn Heywood et al.
Chantelle Recsky et al.
Objective: To analyze oncology nurses' accounts of technology-related safety events and the sociotechnical factors contributing to patient-, workforce-, and system-level harms. ...
From study design to executable code: automating target trial emulation with large language models [0.03%]
从研究设计到可执行代码：利用大型语言模型自动化目标试验模拟
Hanjae Kim,Minseong Kim,Seonji Kim et al.
Hanjae Kim et al.
Objective: Implementing target trial emulation (TTE) studies as standardized, reproducible analytic workflows is technically demanding. We developed Text-guided Health-study Estimation and Specification Engine Using Strat...
Sadaf Ashtari,A Jay Holmgren,Hector P Rodriguez
Sadaf Ashtari
Objectives: Clinicians' adoption of interoperability tools influences care quality, but evidence of actual use is limited. We analyze clinicians' use of outside records delivered via Epic Care Everywhere (CE), focusing on...
Development and validation of a near-comprehensive RxNorm valueset of opioid medications [0.03%]
opioid药物的近全面RxNorm值集的研发与验证
Michael Wasz,Prabhu R V Shankar,Elizabeth Sprouse et al.
Michael Wasz et al.
Objective: Develop a near-comprehensive opioid medications valueset for population measures of opioid related treatments and outcomes. The opioid valueset should be free, open source, and conform to the RxNorm standard fe...
Computational phenotyping of sexually transmitted infections with the All of Us Research Program from 2010 to 2023 [0.03%]
从2010年到2023年的全民医疗计划性传播感染计算表型分析
Fanghui Shi,Huiyi Xia,Sharon Weissman et al.
Fanghui Shi et al.
Objectives: This study aims to develop comprehensive computable phenotyping algorithms that integrate multiple domains of electronic health record (EHR) data within the All of Us (AoU) Researcher Workbench to identify sex...
User-centered design of a patient-generated health data mobile application for primary care visits for older adults with chronic pain [0.03%]
以用户为中心的患者生成健康数据移动应用程序的设计，用于老年慢性疼痛患者的初级保健访问
Bryan Gibson,L Weaver,Usman Sattar et al.
Bryan Gibson et al.
Objectives: To design the provider-facing side of an application that collects and displays contextual patient-generated health data (PGHD) as a means of facilitating patient-centered care for older adults with chronic pa...
Evaluating the impact of artificial intelligence scribes on clinical documentation in primary care: a simulation study [0.03%]
模拟研究评估人工智能scribe对初级保健临床记录的影响
LaShawn Murray,Emily Ha,Qianyue Wang et al.
LaShawn Murray et al.
Objectives: To investigate the performance of artificial intelligence (AI) scribes and their impact on clinical documentation time. Materials and methods:...
DataAtlas: automatic generation of data dictionaries using large language models [0.03%]
DataAtlas：使用大型语言模型自动生成数据字典
Raffaele Giancotti,Rajna Fani,Rafi Al Attrach et al.
Raffaele Giancotti et al.
Objectives: Reuse of shared datasets is often limited by incomplete or inconsistent documentation, hindering interpretation and secondary analysis. We developed DataAtlas, an open-source system for automated generation of...
An examination of the availability and characteristics of social needs data in the electronic health records: a path to social data harmonization and standardization at Johns Hopkins medicine [0.03%]
约翰霍普金斯医院医疗电子健康记录中的社会需求数据的可用性和特征研究：通向社会数据协调和标准化的道路
Elham Hatef,Christopher Kitchen,Thomas Richards et al.
Elham Hatef et al.
Objectives: To analyze social needs documentation across structured electronic sources in Johns Hopkins Health System, describing practices, patient characteristics, and utility for care, research, and population health. ...
Cathy Shyr,Robert Taylor,Vaishali Jagtap et al.
Cathy Shyr et al.
Objective: To describe the Research Electronic Data Capture (REDCap) Consortium's initial implementation of generative artificial intelligence (AI) within the REDCap platform using a minimum viable product (MVP) strategy....