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Related Concept Videos

Nursing Assessment01:29

Nursing Assessment

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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...
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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 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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Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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A Standards-Based Approach for Quality Assessment in Data Collection for Retrospective Clinical Studies.

Evangelia Minga1,2, Christina Papangelou1, Thomas Chatzikonstantinou1

  • 1Institute of Applied Biosciences, Center for Research and Technology Hellas, Thessaloniki, Greece.

Studies in Health Technology and Informatics
|May 17, 2025
PubMed
Summary

We developed a knowledge-based approach to improve the quality of clinical and biological data in multi-center, retrospective studies. This method aids in data validation and integration for real-world data collection.

Keywords:
Knowledge BaseQuality AssessmentReal-World Data

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Area of Science:

  • Clinical Informatics
  • Data Science
  • Biostatistics

Background:

  • Real-world data (RWD) collection, validation, and integration are crucial for clinical studies.
  • Multi-center, retrospective studies present unique challenges in data quality assessment.
  • Existing tools require robust configuration for effective RWD management.

Purpose of the Study:

  • To design a knowledge-based approach for quality assessment in multi-center, retrospective studies.
  • To facilitate the registration of clinical and biological data.
  • To leverage experience in RWD tool development for enhanced data quality.

Main Methods:

  • Development of a knowledge-based system.
  • Application of the system to multi-center, retrospective study data.
  • Focus on data collection, validation, and integration processes.
  • Utilizing experience from prior RWD tool development.

Main Results:

  • A structured approach for quality assessment was designed.
  • The method facilitates data registration for retrospective studies.
  • Enhanced data validation and integration capabilities.

Conclusions:

  • The knowledge-based approach effectively supports quality assessment for RWD in multi-center, retrospective studies.
  • This methodology improves the reliability of clinical and biological data.
  • The system offers a valuable tool for researchers managing complex data.