Model Quality in AI-based Bruise Detection: Rethinking IoU and Confidence Thresholds [0.03%]
基于人工智能的瘀伤检测中的模型质量：重新思考IoU和置信度阈值
Dharmi Desai,Amin Nayebi,Mehrdad Ghyabi et al.
Dharmi Desai et al.
Artificial Intelligence (AI)-based object detection models, like YOLO and Faster R-CNN, depend heavily on the Intersection over Union (IoU) and confidence thresholds to evaluate model performance. However, fixed thresholds can be biased and...
Cryptogenic Stroke and Migraine: Using Probabilistic Independence and Machine Learning to Uncover Latent Sources of Disease from the Electronic Health Record [0.03%]
隐源性卒中与偏头痛：利用概率独立性和机器学习从电子健康记录中发现潜在的病因
Joshua W Betts,John M Still,Thomas A Lasko
Joshua W Betts
Migraine is a common but complex neurological disorder that doubles the lifetime risk of cryptogenic stroke (CS). However, this relationship remains poorly characterized, and few clinical guidelines exist to reduce this associated risk. We ...
LEVERAGING EPIC'S NATIVE ETL INFRASTRUCTURE FOR OMOP CDM IMPLEMENTATION: A COLLABORATIVE EXPERIENCE [0.03%]
利用Epic的本构ETL基础架构进行OMOP CDM实现：一次协作经历
Lauren N Cooper,Aamirah Vadsariya,Mereeja Varghese et al.
Lauren N Cooper et al.
The University of Texas Southwestern Medical Center (UTSW) and Texas Health Resources (THR) implemented an Observational Medical Outcomes Partnership (OMOP) common data model (CDM) that utilizes the Epic electronic health record's (EHR) ext...
In pursuit of the alert fatigue: an assessment of drug alert burden at a large academic medical center [0.03%]
警觉疲劳的调查：大型医学中心药物警示负担评估
Jakir H B Masud,James J Cimino,Tiago K Colicchio
Jakir H B Masud
Introduction: Despite extensive literature on alert fatigue, gaps remain in understanding its impact. We examined drug alert volume and override rates across provider roles to inform future research. Methods: We retrospectively analyzed dru...
Enhancing Breast Cancer Recurrence Prediction Across Treatment Scenarios with Weighted Cox Mixtures [0.03%]
具有加权Cox混合的方法跨治疗方案改善乳腺癌复发预测
Hasna El Haji,Amara Tariq,Amine Souadka et al.
Hasna El Haji et al.
Breast cancer treatment involves surgery, radiation, chemotherapy, and endocrine therapy, with recurrence risk depending on treatment execution. We propose a weighted Cox mixtures model that integrates treatment plans and clinical data to e...
Towards Inpatient Discharge Summary Automation via Large Language Models: A Multidimensional Evaluation with a HIPAA-Compliant Instance of GPT-4o and Clinical Expert Assessment [0.03%]
基于大型语言模型的住院病人出院总结自动化：使用符合HIPAA规定的GPT-4实例和临床专家评估进行多维度评价
Tyler Osborne,Sadia Abbasi,Stephanie Hong et al.
Tyler Osborne et al.
Large language models (LLMs) have demonstrated potential to automate clinical documentation tasks that may reduce clinician burden, such as generation of hospital discharge summaries. Prior research used older LLMs and limited data, raising...
Utilizing the Decedent Affairs Navigator to Ensure High Reliability Communication and Morgue Processes [0.03%]
利用亡者事务导航器确保高可靠性通信和停尸间流程
Lauren Koniaris,Joy Mamuszka,Ijeoma Okeke
Lauren Koniaris
Background: As Hackensack Meridian Health (HMH) experienced an influx of deceased patients during the COVID-19 pandemic three circumstances recurred: 1) the location of deceased patients were not being tracked properly, 2...
An Interactive Information Visualization System for Temporal Queries in a Large-scale COVID-19 EHR Dataset (COVID-SPHERE): development and qualitative evaluation [0.03%]
一种用于大型新冠电子健康记录数据集的时间查询交互式信息可视化系统（COVID-SPHERE）的开发与定性评估
Yan Huang,Shiqiang Tao,Wei-Chun Chou et al.
Yan Huang et al.
COVID-SPHERE is a self-service web application designed to advance clinical research informatics by facilitating secondary use of Electronic Health Records (EHR) for COVID-19 research. The system employs a flexible EHR concept framework tha...
Understanding Primary and Secondary Concerns from Patient Portal Messages through Clinical Data Annotation, Analysis, and Modeling [0.03%]
通过临床数据注释、分析和建模了解患者门户消息的主要和次要关注点
Yuqi Wu,Yang Ren,Heling Jia et al.
Yuqi Wu et al.
Efficient triage and response to patient portal messages (PPMs) are critical for enhancing patient-centered care. To improve the understanding of primary and secondary concerns expressed by patients, this study annotated and analyzed a set ...
Computational Use of Patient-Provider Secure Messaging Data to Achieve Better Clinical Efficiency and Quality of Communication: A Systematic Review [0.03%]
利用患者与医务人员的安全消息数据实现更好的临床效率和沟通质量的计算研究：系统评价
Yawen Guo,Di Hu,Yiliang Zhou et al.
Yawen Guo et al.
Secure messaging (SM) between patients and providers has seen increasing adoption over the past decade, prompting development of computational methods to enable automation and research to enhance clinical efficiency and quality of communica...