Clinical validation of MyCog Mobile: development of a parsimonious and clinically interpretable prediction model for mild cognitive impairment [0.03%]
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%]
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%]
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%]
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...
Establishing the Digital Health Equity & Literacy Program (D-HELP): a student-led initiative to address digital health literacy gaps among emergency department patients at rush [0.03%]
建立数字健康公平与素养计划（D-HELP）：一项学生发起的倡议，旨在解决里奇急症室患者在数字健康素养方面的差距
Qianyi Pu,Ryan Guidi,Tejas C Sekhar et al.
Qianyi Pu et al.
Objective: To describe the development and early implementation of the Digital Health Equity & Literacy Program (D-HELP), a student-led quality improvement initiative to promote digital health engagement in the emergency ...
Electronic health record use factors linked to efficiency and productivity: an explainable machine learning analysis [0.03%]
影响电子健康记录使用效率和生产力的因素：一种可解释的机器学习分析
Huan Li,Varada V Khanna,Nate Apathy et al.
Huan Li et al.
Objective: To explore the relationship between ambulatory physician electronic health record (EHR) use characteristics and proxies for physician efficiency. ...
Interpretability of an FDA-authorized AI/ML sepsis diagnostic tool improved by SHAP values [0.03%]
SHAP值可提高FDA授权的AI / ML脓毒症诊断工具的可解释性
Gregory L Watson,Grace Staples,Robin Carver et al.
Gregory L Watson et al.
Objectives: To assess the interpretability and acceptance of Shapley values for making artificial intelligence/machine learning (AI/ML) tools more transparent, interpretable, and useful to clinicians. ...