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相关概念视频

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.3K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
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Errors occurring during blood pressure monitoring01:25

Errors occurring during blood pressure monitoring

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Blood pressure monitoring is a crucial clinical procedure in diagnosing and managing various cardiovascular conditions. Despite its significance, the accuracy of blood pressure measurements can be compromised by multiple factors, potentially leading to either falsely high or low readings. These inaccuracies are critical as they can significantly impact patient care. So, it is vital to understand these challenges deeply and adopt strategic approaches to minimize errors.
Several factors...
971
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
628
Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care01:30

Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care

38
A healthcare provider can diagnose a urinary tract infection (UTI) through several methods:Medical History and Symptoms: The provider will take a detailed medical history and ask about symptoms such as frequent urination, burning sensation during urination, and lower abdominal pain.Urinalysis: A clean-catch urine sample is collected in a sterile container and tested for the presence of bacteria, white blood cells (leukocytes), nitrites, blood, and protein. The presence of leukocytes and...
38
Cardiopulmonary Resuscitation III: AED Use01:23

Cardiopulmonary Resuscitation III: AED Use

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Introduction to AEDAn Automated External Defibrillator (AED) is a portable medical device that analyzes the heart's rhythm and, if necessary, delivers an electrical shock to help the heart re-establish an effective rhythm during sudden cardiac arrest (SCA). SCA occurs when the heart suddenly and unexpectedly stops beating, leading to a loss of blood flow to the brain and other vital organs. In such emergencies, time is of the essence, and using an AED, combined with Cardiopulmonary...
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Guidelines and Strategies for Safe Computer Charting01:18

Guidelines and Strategies for Safe Computer Charting

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The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
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相关实验视频

Updated: Sep 12, 2025

Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
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使用基于触发的策略,识别急诊部的诊断错误.

Mahsa Khalili1,2, Moein Enayati3, Shrinath Patel3

  • 1Department of Emergency Medicine, The University of British Columbia, Vancouver, British Columbia, Canada mahsa.khalili@ubc.ca.

BMJ open quality
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PubMed
概括

电子健康记录 (EHR) 触发器可以识别一些诊断错误,但单独是不够的. 推使用机器学习策略,以提高诊断错误检测在急诊室的准确性.

关键词:
诊断错误是因为诊断错误.电子健康记录电子健康记录应急部门的紧急情况.

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科学领域:

  • 患者安全 患者安全
  • 临床信息学 临床信息学
  • 医疗保健服务研究 医疗服务研究

背景情况:

  • 诊断错误是一个重要的患者安全问题,影响结果.
  • 基于触发器的策略用于识别诊断错误和改善护理.
  • 现有的基于电子健康记录 (EHR) 的触发器需要评估其有效性.

研究的目的:

  • 评估三种预先建立的基于EHR的触发器在紧急部门 (ED) 中检测诊断错误的性能.
  • 评估这些触发器在识别潜在诊断错误的有效性,以便进一步审查.

主要方法:

  • 在美国一所学术ED. 连续队列的回顾性观察研究.
  • 利用EHR数据,根据预先定义的标准 (非计划的再访,护理升级,ED内/ED后早期死亡) 识别触发阳性和触发阴性病例.
  • 通过使用SaferDx工具来确认诊断错误,对触发阳性和触发阴性病例的随机样本进行了审查.

主要成果:

  • 确定了5791个触发因子阳性和118,262个触发因子阴性病例.
  • 诊断错误的积极预测值 (PPV) 很低:5.4% (T1),8.9% (T2) 和6.9% (T3).
  • 负预测值 (NPV) 为100%,表明在触发负的情况下没有错过的错误. 败血症是最常见的错误诊断.

结论:

  • 预先建立的基于EHR的触发器可以识别一些诊断错误,但不足以进行全面的检测.
  • 需要进一步开发和探索数据驱动的策略,如机器学习,以提高诊断错误检测的准确性.
  • 改善诊断错误检测对于提高ED环境中的患者安全至关重要.