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相关概念视频

Methods of Documentation III: PIE01:21

Methods of Documentation III: PIE

2.0K
Problem-intervention-evaluation (PIE) is a systematic approach to documentation used in healthcare settings for clinical decision-making and patient care planning. It is a structured approach to organizing patient data based on problems, interventions, and evaluations. Here's a breakdown of its key features and considerations:
2.0K
Data Collection III01:05

Data Collection III

3.9K
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
3.9K
Data Collection II01:29

Data Collection II

9.6K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
9.6K
Data Collection I01:30

Data Collection I

7.8K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
7.8K
Data Collection by Observations01:08

Data Collection by Observations

14.4K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
14.4K
Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

1.7K
Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
1.7K

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相关实验视频

Updated: Jan 10, 2026

A Simple and Scalable Fabrication Method for Organic Electronic Devices on Textiles
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拼接意义:数据织创造者的实践

Sydney Purdue, Eduardo Puerta, Enrico Bertini

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    此摘要是机器生成的。

    数据织品,就像温度毯子一样,通过纤维艺术视觉代表信息. 这项研究调查了创作者,揭示了各种方法和个人益处,并提出了新的可视化机会.

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    科学领域:

    • 数据可视化 数据可视化
    • 人与计算机的交互
    • 织艺术 织艺术

    背景情况:

    • 成千上万的人创建数据编码的织品,如温度毯子,通过颜色绘制天气数据.
    • 尽管这种广泛的做法,数据可视化和物理化研究在很大程度上忽视了这个社区.
    • 数据织品代表了信息物理化的重要但尚未探索的领域.

    研究的目的:

    • 探索数据织 (信息编码的纤维艺术) 的领域.
    • 调查艺术家关于他们的项目和创作过程的数据纤维.
    • 通过数据织品的洞察力,确定增强数据可视化的机会.

    主要方法:

    • 对数据纤维艺术家进行了调查.
    • 创建了159个数据织品示例的集体.
    • 开发了一个图表来描述这些项目的数据编码方法.
    • 收集了对创作者数据工作流程,动机和发现的见解.

    主要成果:

    • 数据织品创造者采用不同的过程,通过织物结构和材料特性 (如颜色和纹理) 来映射数据.
    • 创作者以各种方式与数据互动,这些方式源于各种数据跟踪程序.
    • 创作过程促进了个人成长,并增强了创作者对其数据的理解.

    结论:

    • 数据织品为数据物理化和可视化提供了新的方法.
    • 有机会开发支持数据纤维艺术家的工具.
    • 数据织物中的概念,如纹理和结构布局,可以为未来的可视化设计提供信息.