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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 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 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 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.
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Practical data collection and extraction for big data applications in radiotherapy.

Todd R McNutt1, Michael Bowers1, Zhi Cheng1

  • 1School of Medicine, Radiation Oncology, Johns Hopkins University, Baltimore, MD, 21231, USA.

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Capturing high-quality radiotherapy data is crucial for big data analytics. Implementing structured data collection and electronic checks can enhance clinical decision-making and foster a learning health system.

Keywords:
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Area of Science:

  • Medical Informatics
  • Radiotherapy Research
  • Health Data Science

Background:

  • High-quality treatment data and outcomes are essential for learning from clinical experiences using big data analytics in radiotherapy.
  • Practical challenges in data collection hinder the effective use of big data in clinical practice.
  • A shift towards a data-driven culture is needed to capture structured patient data prospectively in routine care.

Purpose of the Study:

  • To discuss the practical aspects and challenges of capturing high-quality treatment data and outcomes in radiotherapy.
  • To highlight the necessity of integrating radiation dosimetry and contoured anatomy data for accurate treatment representation.
  • To explore opportunities for improving data quality, completeness, and efficiency through electronic validity checks and advanced technologies.

Main Methods:

  • Discussion of practical data collection challenges in radiotherapy.
  • Identification of necessary data types including patient reports, images, biospecimens, treatments, and symptom management.
  • Exploration of technological solutions for data integrity and completeness.

Main Results:

  • Routine capture of radiation dosimetry and contoured anatomy is critical for estimating delivered radiation.
  • Electronic validity checks can significantly improve data quality and integrity.
  • Improved data capture methods and technologies are needed for efficiency and sufficiency.

Conclusions:

  • A culture change towards prospective, structured data capture is necessary in clinical practice.
  • Realizing a learning health system is achievable through a data-driven culture, unlocking big data's potential.
  • Big data analytics can influence clinical decision-making and hypothesis generation in radiotherapy.