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Related Concept Videos

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 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 II01:29

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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 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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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 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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"Big Data" Gets Personal.

Matthew S Lebo1, Sheila Sutti2, Robert C Green3

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A woman at-risk for a rare fatal prion disease retrained in science. She joined a bioinformatics team to analyze data, gaining insights into variant penetrance and potential treatments for the disease.

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Area of Science:

  • Neuroscience
  • Genetics
  • Bioinformatics

Background:

  • Prion diseases are rare, fatal neurodegenerative disorders.
  • Genetic factors significantly influence prion disease risk and presentation.
  • Understanding variant penetrance is crucial for risk assessment and management.

Purpose of the Study:

  • To investigate the genetic basis of a rare fatal prion disease.
  • To analyze shared data for insights into variant penetrance.
  • To explore potential therapeutic strategies for prion diseases.

Main Methods:

  • Retraining in scientific research and bioinformatics.
  • Collaborative analysis of shared patient and genetic data.
  • Bioinformatic approaches to variant penetrance and treatment identification.

Main Results:

  • Identification of key genetic variants associated with prion disease.
  • Quantification of variant penetrance in at-risk individuals.
  • Preliminary insights into potential treatment avenues.

Conclusions:

  • Personalized scientific inquiry can yield significant insights into rare diseases.
  • Bioinformatics analysis of shared data is vital for understanding prion disease genetics.
  • Further research is warranted to develop effective treatments for fatal prion diseases.