Artificial Intelligence-Based Prediction of Contrast Medium Doses for Computed Tomography Angiography Using Optimized Clinical Parameter Sets [0.03%]
基于优化临床参数集使用人工智能预测CT血管成像中的对比剂剂量
Marja Fleitmann,Hristina Uzunova,René Pallenberg et al.
Marja Fleitmann et al.
Objectives: In this paper, an artificial intelligence-based algorithm for predicting the optimal contrast medium dose for computed tomography (CT) angiography of the aorta is presented and evaluated in a clinical study. ...
Kerstin Denecke,Elia Gabarron,Carolyn Petersen
Kerstin Denecke
Use of Natural Language Processing to Identify Sexual and Reproductive Health Information in Clinical Text [0.03%]
利用自然语言处理技术从临床文本中提取性与生殖健康信息
Elizabeth I Harrison,Laura A Kirkpatrick,Patrick W Harrison et al.
Elizabeth I Harrison et al.
Objectives: This study aimed to enable clinical researchers without expertise in natural language processing (NLP) to extract and analyze information about sexual and reproductive health (SRH), or other sensitive health t...
An Exploratory Study on the Utility of Patient-Generated Health Data as a Tool for Health Care Professionals in Multiple Sclerosis Care [0.03%]
多发性硬化症护理中患者生成的健康数据作为卫生专业人员工具的效用探索性研究
Sharon Guardado,Vasiliki Mylonopoulou,Octavio Rivera-Romero et al.
Sharon Guardado et al.
Background: Patient-generated health data (PGHD) are data collected through technologies such as mobile devices and health apps. The integration of PGHD into health care workflows can support the care of chronic condition...
Performance Characteristics of a Rule-Based Electronic Health Record Algorithm to Identify Patients with Gross and Microscopic Hematuria [0.03%]
基于规则的电子健康记录算法识别肉眼及镜下血尿患者的特点分析
Jasmine Kashkoush,Mudit Gupta,Matthew A Meissner et al.
Jasmine Kashkoush et al.
Background: Two million patients per year are referred to urologists for hematuria, or blood in the urine. The American Urological Association recently adopted a risk-stratified hematuria evaluation guideline to limit mul...
A Proposal for a Robust Validated Weighted General Data Protection Regulation-Based Scale to Assess the Quality of Privacy Policies of Mobile Health Applications: An eDelphi Study [0.03%]
一种基于 robust validated weighted general 数据保护规定评估移动健康应用程序隐私政策质量的量表的提议：一项 eDelphi 研究
Jaime Benjumea,Jorge Ropero,Enrique Dorronzoro-Zubiete et al.
Jaime Benjumea et al.
Background: Health care services are undergoing a digital transformation in which the Participatory Health Informatics field has a key role. Within this field, studies aimed to assess the quality of digital tools, includi...
Machine Learning Classification of Psychiatric Data Associated with Compensation Claims for Patient Injuries [0.03%]
与患者伤害赔偿相关的心理健康数据的机器学习分类
Martti Juhola,Tommi Nikkanen,Juho Niemi et al.
Martti Juhola et al.
Background: Adverse events are common in health care. In psychiatric treatment, compensation claims for patient injuries appear to be less common than in other medical specialties. The most common types of patient injury ...
From Paper Files to Web-Based Application for Data-Driven Monitoring of HIV Programs: Nigeria's Journey to a National Data Repository for Decision-Making and Patient Care [0.03%]
从纸质文件到基于网络的应用程序：尼日利亚艾滋病项目数据驱动监测的国家数据库决策和患者护理之旅
Ibrahim Dalhatu,Chinedu Aniekwe,Adebobola Bashorun et al.
Ibrahim Dalhatu et al.
Background: Timely and reliable data are crucial for clinical, epidemiologic, and program management decision making. Electronic health information systems provide platforms for managing large longitudinal patient records...
Workflow, Time Requirement, and Quality of Medication Documentation with or without a Computerized Physician Order Entry System-A Simulation-Based Lab Study [0.03%]
有无计算机医师订单入院系统下的工作流程、时间需求和药物记录质量——一项基于模拟实验室的研究
Viktoria Jungreithmayr,Walter E Haefeli,Hanna M Seidling;Implementation Team
Viktoria Jungreithmayr
Background: The introduction of a computerized physician order entry (CPOE) system is changing workflows and redistributing tasks among health care professionals. ...
Giorgos Koliopanos,Francisco Ojeda,Andreas Ziegler
Giorgos Koliopanos
Background: Data protection policies might prohibit the transfer of existing study data to interested research groups. To overcome legal restrictions, simulated data can be transferred that mimic the structure but are dif...