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Related Concept Videos

Formats for Nursing Documentation01:28

Formats for Nursing Documentation

2.1K
Nursing documentation encompasses various formats designed to capture precise patient data, facilitate communication among healthcare team members, and ensure comprehensive and accurate patient records. Let's explore each of these formats in detail:
Nursing Assessment Form:
• A nursing assessment form is a foundational document that captures detailed patient data from physical assessments and nursing histories.
• It includes patient demographics, medical history,...
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Data Validation01:03

Data Validation

7.2K
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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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:
1.4K
Nursing Diagnosis01:22

Nursing Diagnosis

4.5K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
4.5K
Nursing Assessment01:29

Nursing Assessment

9.7K
The two sources for collecting information are primary and secondary. After gathering information, interpretation and validation help to complete the data. The purpose of assessment is to establish data with the initial information, to interpret data about the patient's perceived needs and health problems, and to respond to these problems identified.
The nurse collects all aspects of the patient's health in the initial assessment, establishing priorities for ongoing focused assessments...
9.7K
Nursing Evaluation01:15

Nursing Evaluation

4.6K
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.
4.6K

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Visualization of Multidimensional Data in Nursing Science.

Sharron L Docherty1, Allison Vorderstrasse1, Debra Brandon1

  • 11 Duke University, Durham, NC, USA.

Western Journal of Nursing Research
|October 21, 2016
PubMed
Summary
This summary is machine-generated.

Scientific visualization helps nurse scientists understand complex health data. This method reveals patterns and trends in multidimensional datasets, aiding critical research questions.

Keywords:
Big Datadata analysisdata integrationdata sciencemultidimensional datavisualization

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Area of Science:

  • Nursing Science
  • Health Informatics
  • Data Science

Background:

  • Nursing science addresses complex health challenges requiring multilevel data.
  • Data-gathering advances yield large, multifaceted datasets.
  • Understanding these complex datasets is crucial for scientific advancement.

Purpose of the Study:

  • Demonstrate the utility of scientific visualization.
  • Identify associations, patterns, and trends in multidimensional data.
  • Exemplify visualization methods in nursing research.

Main Methods:

  • Review of scientific visualization history and processes.
  • Application of visualization techniques in two case studies.
  • Analysis of opportunities and challenges in visualization.

Main Results:

  • Scientific visualization aids in understanding complex, multidimensional data.
  • Visualization facilitates the identification of associations, patterns, and trends.
  • The method is applicable across various data types (genetic, behavioral, social).

Conclusions:

  • Scientific visualization is a powerful tool for nurse scientists.
  • It enhances the interpretation of complex datasets.
  • Visualization supports answering vital questions in health and illness.