Advanced artificial intelligence vs simpler models for 1-year death prediction among patients receiving hemodialysis [0.03%]
预测接受透析患者的1年死亡率：先进的AI模型与简单模型相比如何？
Karthikeyan K,Jennifer E Flythe,Patrick H Pun et al.
Karthikeyan K et al.
Objectives: We evaluated the data requirement for modern AI tools to outperform simpler models in predicting short-term mortality in over 500 000 patients with hemodialysis-dependent kidney failure. ...
Patient perspectives about deployment of artificial intelligence decision support tools in a safety-net healthcare system [0.03%]
患者视角下的在安全网医疗系统中部署人工智能决策支持工具的意见态度观点
Nicholas Phelps,Patrick Vossler,Avni Kothari et al.
Nicholas Phelps et al.
Objectives: To assess patient awareness, trust, perceived benefits, and risks of artificial intelligence (AI) in clinical care within an urban safety-net health system. ...
Advancing clinical utility of artificial intelligence: lessons from developing a model to predict cochlear implant eligibility [0.03%]
推动人工智能的临床应用价值：开发预测人工耳蜗植入资格模型的经验教训
Valentina Carducci,Horacio Sanchez-Trigo,Yesmeen Elgabori et al.
Valentina Carducci et al.
Objectives: To address the gap between artificial intelligence (AI) model development and clinical implementation by developing a machine-learning model to predict cochlear implant (CI) eligibility based on routine hearin...
Clinical validation of MyCog Mobile: development of a parsimonious and clinically interpretable prediction model for mild cognitive impairment [0.03%]
MyCog Mobile的临床验证：简化且具有临床解释力的轻度认知障碍预测模型的研发
Stephanie Ruth Young,Elizabeth M Dworak,Katherina Hauner et al.
Stephanie Ruth Young et al.
Objectives: To develop and validate a prespecified logistic model for detecting mild cognitive impairment (MCI) using MyCog Mobile, a self-administered smartphone-based screening application, and to evaluate a structured ...
Characterization and comparison of structured and unstructured electronic health record data mapped to MedDRA for post-marketing surveillance [0.03%]
用于上市后药物警戒的映射到MedDRA的结构化和非结构化电子健康记录数据的特征及比较研究
Joshua C Smith,Sharon E Davis,Ruth M Reeves et al.
Joshua C Smith et al.
Objectives: Medical product safety surveillance efforts, whether using electronic health record (EHR) or claims data, typically rely on structured codes. Utilizing unstructured EHR data, particularly information extracted...
Synergy of diagnosis coding between administrative claims and electronic health records of large patient populations across multiple healthcare organizations [0.03%]
跨机构大规模人群的行政理赔和电子健康记录之间的诊断编码协同性
Minqi Christelle Xiong,Harlan Pittell,Christopher Kitchen et al.
Minqi Christelle Xiong et al.
Objective: This study evaluates the completeness of diagnostic information captured in electronic health records (EHRs) compared to administrative claims data across multiple U.S. healthcare organizations between 2010 and...
Real-time automated billing for tobacco treatment: performance evaluation of the CigStopper machine learning framework [0.03%]
基于机器学习的烟草治疗实时自动化计费：CigStopper框架性能评估
Derek J Baughman,Layth Qassem,Lina Sulieman et al.
Derek J Baughman et al.
Objective: To evaluate CigStopper, a machine learning algorithm designed to predict billing eligibility for tobacco cessation counseling (CPT 99406/99407), addressing persistent underbilling and documentation gaps in heal...
Assessing data quality of rheumatoid and psoriatic arthritis patients in the All of Us Research Program [0.03%]
评估全民医学研究计划中类风湿性关节炎和银屑病关节炎患者的数据质量
Matthew Spotnitz,John Giannini,Emily Clark et al.
Matthew Spotnitz et al.
Purpose: Rheumatoid and Psoriatic Arthritis (RA and PsA) are autoimmune diseases that cause debilitating joint pain. Disease-modifying antirheumatic drugs (DMARDs) are recommended for the treatment of both conditions. How...
Identifying strategies to leverage electronic health records and health information technology in colorectal cancer screening in primary care clinics [0.03%]
识别策略以在初级保健诊所利用电子健康记录和卫生信息科技进行结直肠癌筛查
Joshua E Richardson,Sonja Hoover,Madeleine Jones et al.
Joshua E Richardson et al.
Introduction: We report on using electronic health records (EHRs) and other health information technology (IT) (eg, REDCap, Excel, and population-health tools) for tracking patients and managing interventions to improve c...
Assessment of the adequacy of the Fast Healthcare Interoperability Resources (FHIR) Genomics standard for the representation of somatic testing reports [0.03%]
评估Fast Healthcare Interoperability Resources(FHIR)基因组学标准对表示体细胞检测报告的充分性
Robert H Dolin,Bret S E Heale,James Patterson et al.
Robert H Dolin et al.
Objectives: Enabling the unambiguous communication of cancer genetic testing results and the corresponding therapeutic implications of identified genetic variants is of major clinical importance. In this report, we assess...