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相关概念视频

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
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Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
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Current Trends in Nursing II01:30

Current Trends in Nursing II

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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Nursing Evaluation01:15

Nursing Evaluation

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The evaluation stage signals the end of the nursing process. The nurse gathers evaluative data to assess whether or not the patient has attained the expected results. Whereas the nurse collects data in the nursing assessment to identify the patient's health concerns, the evaluation stage data determines if the indicated health issues are resolved. Evaluative data collection includes two sections: the data acquired to evaluate patient outcomes and the time criteria for data collection.
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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...
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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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相关实验视频

Updated: May 27, 2025

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
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为移动健康应用开发基于证据的评估框架

Sabrina Yu1, Paul Aiello1,2, Aby Mathews Maluvelil1,2

  • 1Lamina Solutions, Toronto, Canada.

Studies in health technology and informatics
|February 19, 2025
PubMed
概括

本研究提出了一个新的定量框架,用于评估移动健康 (mHealth) 应用程序,使用动态属性权重和人工智能来确保质量和利益相关者一致. 该平台为各种移动健康应用提供了可操作的见解.

关键词:
应用程序评估 应用程序评价属性优先级 属性优先级 属性优先级基于证据的基于证据的证据.移动健康 移动健康 移动健康 移动健康多个标准的决策分析分析.多个利益相关者参与.定量分析量化分析

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科学领域:

  • 数字健康数字健康
  • 医疗信息学 医疗信息学
  • 医疗保健服务研究 医疗服务研究

背景情况:

  • 移动健康 (mHealth) 应用程序的普及需要严格的评估方法.
  • 现有的平台往往缺乏动态属性权重和多标准决策分析,以进行全面的质量评估.
  • 确保利益相关者在移动健康应用程序开发和部署中保持一致是一个重大挑战.

研究的目的:

  • 引入一个量化,基于证据的框架来评估移动健康应用.
  • 解决需要强大的平台,确保质量,有效性和利益相关者一致的需求.
  • 为各种移动健康应用程序和利益相关者要求提供可操作的见解.

主要方法:

  • 开发一个包含动态属性权重的定量框架.
  • 应用多标准决策分析 (MCDA) 技术,包括CRITIC-TOPSIS.
  • 整合人工智能 (AI) 驱动的属性优先级.
  • 通过系统审查和专家分析进行验证.

主要成果:

  • 初步评估表明,该框架有潜力产生量身定制的,可操作的见解.
  • 拟议的平台在解决移动健康应用程序评估方面的差距方面表现出有效性.
  • 动态属性权重和MCDA增强了对移动健康应用程序质量和有效性的评估.

结论:

  • 开发的框架为评估移动健康应用程序的质量和有效性提供了一个强大的解决方案.
  • 人工智能驱动的优先级和MCDA为利益相关者调整提供了一个动态的方法.
  • 预计进一步的开发和现实世界的部署将完善该框架在数字健康中的适用性和影响.