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相关概念视频

Ethical Standards I01:25

Ethical Standards I

809
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
809
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:
840
Data Reporting and Recording01:24

Data Reporting and Recording

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Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
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Data Validation01:03

Data Validation

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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

51
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
51
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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相关实验视频

Updated: Jul 2, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

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四个问题指导数据共享和整合的决策.

Amy Hawn Nelson1, Sharon Zanti1

  • 1University of Pennsylvania, Actionable Intelligence for Social Policy.

International journal of population data science
|February 29, 2024
PubMed
概括

这个框架通过提出四个关键问题来指导道德数据集成:它是否合法,道德,是个好主意,以及我们如何知道? 它支持强有力的数据治理,以实现成功的数据共享和整合项目.

科学领域:

  • 数据科学数据科学数据科学
  • 信息治理 信息治理
  • 公共卫生信息学 公共卫生信息学

背景情况:

  • 有效的数据集成需要一个强大的法律和道德基础.
  • 现有的框架可能无法普遍适应不同的数据集成环境.

研究的目的:

  • 提出一个四个问题框架,指导数据集成中的伦理数据使用.
  • 为建立数据治理和法律基础提供一个简单,可适应的工具.

主要方法:

  • 通过公众审议工作组和15年的实地经验开发.
  • 框架包括四个核心问题:这是合法的吗? 这是道德的吗? 这是一个好主意吗? 我们怎么知道 (以及谁决定)?

主要成果:

  • 四个问题框架有助于确定数据共享和整合的合法性和道德性.
  • 它为构建集成数据系统 (IDS) 和管理数据项目的决策提供了便利.

结论:

  • 强大的数据治理对于法律,道德和适合环境的数据共享至关重要.
  • 整合到治理流程中的四个问题框架支持代和协作数据集成.
关键词:
数据治理数据治理伦理数据共享 伦理数据共享数据集成的法律框架.

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