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Related Concept Videos

Data Collection I01:30

Data Collection I

9.0K
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 Observations01:08

Data Collection by Observations

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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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Data Collection by Survey01:07

Data Collection by Survey

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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 by Experiments01:13

Data Collection by Experiments

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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 III01:05

Data Collection III

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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 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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Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
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Data collection and interpretation.

Giuseppe Citerio1, Soojin Park, J Michael Schmidt

  • 1Department of Health Science, University of Milan-Bicocca, and Neurointensive Care, Monza, Italy.

Neurocritical Care
|April 8, 2015
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Summary
This summary is machine-generated.

Multi-modality monitoring (MMM) integrates patient data for better neurocritical care. Advances in bioinformatics enhance data management, improving decision-making for acute brain injury and research.

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Area of Science:

  • Neurocritical care
  • Biomedical informatics
  • Data science in medicine

Background:

  • Patient monitoring is standard in neurocritical care.
  • Multi-modality monitoring (MMM) combines various data sources.
  • Current MMM decision-making often relies on isolated physiological thresholds.

Purpose of the Study:

  • To review initial steps in data and information management for MMM.
  • To highlight the role of bioinformatics in advancing critical care.
  • To discuss the potential impact of data-intensive science on acute brain injury care and research.

Main Methods:

  • Review of current practices and emerging techniques in patient monitoring.
  • Discussion of bioinformatics advancements for data acquisition, storage, retrieval, and display.
  • Exploration of new analytic techniques for clinical decision support.

Main Results:

  • The full potential of MMM is currently underutilized.
  • Bioinformatics is facilitating the integrated use of MMM data.
  • Data-intensive approaches are shifting acute brain injury care concepts.

Conclusions:

  • Effective data and information management are crucial for realizing MMM's potential.
  • Emerging data science techniques can reshape research and clinical practice.
  • Optimized MMM has the potential to enhance cost-effective care for acute brain injury.