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Related Concept Videos

Data Collection II01:29

Data Collection II

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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...
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Data Collection I01:30

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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...
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Data Collection by Experiments01:13

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
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Data Collection by Survey01:07

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data Collection III01:05

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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...
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Data Collection by Observations01:08

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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...
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Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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Collecting Data to Facilitate Change.

Alexander J Towbin1

  • 1Department of Radiology, Cincinnati Children's Hospital, Cincinnati, Ohio; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio.

Journal of the American College of Radiology : JACR
|September 8, 2019
PubMed
Summary
This summary is machine-generated.

This study offers a framework for quality improvement teams to select appropriate data collection methods. It details various data collection modes, their pros, and cons for better analysis.

Keywords:
Quality improvementdata analysisdata collectiondata science

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Last Updated: Jan 19, 2026

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Data Collection II
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Area of Science:

  • Healthcare Quality Improvement
  • Data Management
  • Research Methodology

Background:

  • Data collection and analysis are crucial for quality improvement (QI) initiatives.
  • A gap exists in understanding various data collection methods and their selection criteria.
  • Effective data strategies are essential for successful QI.

Purpose of the Study:

  • To provide a framework for QI teams to identify and define necessary data.
  • To discuss diverse data collection modes.
  • To illustrate data collection methods with examples and analyze their advantages and disadvantages.

Main Methods:

  • A framework for data identification and definition in QI.
  • Discussion of various data collection modes.
  • Illustrative examples and comparative analysis of data collection methods.

Main Results:

  • A structured approach to selecting data collection strategies.
  • Clear explanations of different data collection modes.
  • An overview of the benefits and drawbacks of each method.

Conclusions:

  • Understanding data collection modes enhances QI initiative effectiveness.
  • The provided framework aids in strategic data selection.
  • Informed choices in data collection lead to improved quality outcomes.