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Nursing Clinical Information System01:27

Nursing Clinical Information System

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
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Introspection01:29

Introspection

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Introspection, long upheld as a reliable route to self-knowledge, involves examining one's thoughts, emotions, and mental processes. It underpins many psychological practices, from mindfulness meditation to psychotherapy and self-help strategies. However, empirical evidence challenges the accuracy of introspection as a means of understanding oneself.Limitations of Introspective InsightSeminal work by Nisbett and Wilson demonstrated that individuals are frequently unaware of the true causes...
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相关实验视频

Updated: Feb 20, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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在规模上解锁实践模式:使用Epic的宇宙开发临床见解的框架.

Kyle Bernard1, Arwen Declan2, Kevin Buell3

  • 1Emergency Medicine, Medical College of Wisconsin, Milwaukee, United States.

Applied clinical informatics
|February 18, 2026
PubMed
概括

我们使用Epic的Cosmos平台开发了一个可适应的工作流程,用于回顾性临床研究. 这种方法可以快速,可重复的队列构建和分析,以改善患者护理证据.

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科学领域:

  • 临床信息学 临床信息学
  • 健康 数据科学 数据科学
  • 追溯研究 追溯研究

背景情况:

  • 来自供应商汇总的健康信息交换的现实数据对于回顾性临床研究有价值.
  • 史诗的Cosmos平台为大规模研究提供了对非识别电子健康记录 (EHR) 数据的访问权限.

研究的目的:

  • 描述使用Cosmos平台进行回顾性研究的可泛化的临床信息学工作流程的代开发.
  • 完善用于二次数据分析的协作研究过程.

主要方法:

  • 计划-做-研究-行动 (PDSA) 循环被应用,以代地完善研究过程.
  • 重点领域包括研究设置,团队组成,技术准备和工作流程优化.
  • 在宇宙内部的SlicerDicer接口被用于队列探索和构建.

主要成果:

  • 确定了多个需要改进的领域,以简化协作研究.
  • 获得了关键的见解,用于定义跨临床和信息学领域的研究团队.
  • 建立了针对查询构建,队列构建,数据分析,验证和通信的优化流程.

结论:

  • 开发的协作方法支持建立高质量的患者护理临床证据.
  • 工作流程有助于快速,可重复的队列构建和分析.
  • 这种可适应的模型可以在临床领域应用,并扩展到多组织合作.